#scrape linkedin profiles

[scrapin1]

The Future of Professional Networking: Exploring LinkedIn Scraping

In the digital age, the importance of professional networking cannot be overstated. LinkedIn, the premier platform for business and career networking, hosts millions of profiles and a plethora of company information. For businesses and individuals alike, accessing this wealth of data can offer significant advantages. This is where the concept of LinkedIn scraping comes into play, revolutionizing how we gather and utilize information.

Understanding LinkedIn Scraping

They refers to the process of extracting data from LinkedIn profiles and company pages using automated tools. This technique allows users to collect a wide range of data points such as job titles, skills, endorsements, company details, and much more. By automating the data collection process, scraping LinkedIn provides a more efficient and scalable way to gather crucial information compared to manual methods.

The Benefits of LinkedIn Scraping

The advantages ofLinkedIn data scrape are multifaceted, catering to various needs across different sectors:

1. Recruitment: For recruitment agencies and HR professionals, scraping LinkedIn can streamline the talent acquisition process. By extracting detailed profiles, recruiters can quickly identify and contact potential candidates that match specific job criteria.

2. Sales and Marketing: Sales teams can leverage scraping LinkedIn to build comprehensive lead lists. By targeting profiles that fit their ideal customer persona, businesses can enhance their outreach efforts and improve conversion rates.

3. Market Research: Companies conducting market research can use LinkedIn scraping to gather data on competitors, industry trends, and demographic information. This insight can inform strategic decisions and help businesses stay ahead of the curve.

Ethical and Legal Considerations

While LinkedIn scraping offers numerous benefits, it is crucial to navigate the ethical and legal landscape carefully. LinkedIn's terms of service explicitly prohibit unauthorized scraping of their data. Violating these terms can lead to legal repercussions and the banning of accounts. Therefore, it is essential to use compliant and ethical methods when performing LinkedIn scraping.

Introducing a Streamlined LinkedIn Scraper API

For those looking to implement LinkedIn scraping on a large scale, a streamlined LinkedIn scraper API is an invaluable tool. This API enables real-time data scraping of profiles and company information, providing up-to-date insights and information. By using such an API, businesses can efficiently gather and process data at scale without compromising on accuracy or speed.

Best Practices for LinkedIn Scraping

To ensure successful and compliant LinkedIn scraping, consider the following best practices:

1. Respect LinkedIn’s Terms of Service: Always adhere to LinkedIn’s guidelines to avoid potential legal issues. Use scraping tools that are designed to operate within these constraints.

2. Data Accuracy: Ensure that the scraping tool you use can accurately capture the necessary data points without errors. This reliability is crucial for maintaining the quality of your data.

3. Privacy Considerations: Be mindful of user privacy and data protection laws. Avoid scraping personal information that is not publicly available or necessary for your use case.

Conclusion:

LinkedIn scraping is transforming the way we access and utilize professional data. Whether for recruitment, sales, marketing, or research, the ability to extract and analyze LinkedIn data efficiently can provide a competitive edge. By using a streamlined LinkedIn scraper API, businesses can achieve real-time data scraping of profiles and company information at scale, ensuring they have the most current and relevant information at their fingertips. For those seeking a reliable solution,Scrapin.io offers a robust platform designed to meet these needs, enabling users to harness the full potential of LinkedIn data scraping while maintaining compliance and ethical standards.

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[quicklifesolutions]

💼 Unlock LinkedIn Like Never Before with the LinkedIn Profile Explorer!

Need to extract LinkedIn profile data effortlessly? Meet the LinkedIn Profile Explorer by Dainty Screw—your ultimate tool for automated LinkedIn data collection.

✨ What This Tool Can Do:

• 🧑‍💼 Extract names, job titles, and company details.

• 📍 Gather profile locations and industries.

• 📞 Scrape contact information (if publicly available).

• 🚀 Collect skills, education, and more from profiles!

💡 Perfect For:

• Recruiters sourcing top talent.

• Marketers building lead lists.

• Researchers analyzing career trends.

• Businesses creating personalized outreach campaigns.

🚀 Why Choose the LinkedIn Profile Explorer?

• Accurate Data: Scrapes reliable and up-to-date profile details.

• Customizable Searches: Target specific roles, industries, or locations.

• Time-Saving Automation: Save hours of manual work.

• Scalable for Big Projects: Perfect for bulk data extraction.

🔗 Get Started Today:

Simplify LinkedIn data collection with one click: LinkedIn Profile Explorer

🙌 Whether you’re hiring, marketing, or researching, this tool makes LinkedIn data extraction fast, easy, and reliable. Try it now!

Tags: #LinkedInScraper #ProfileExplorer #WebScraping #AutomationTools #Recruitment #LeadGeneration #DataExtraction #ApifyTools

[sociocosmos]

Sociocosmos: Your Gateway to Authentic LinkedIn Growth

Are you tired of the endless grind of building a strong LinkedIn presence? Sociocosmos offers a unique solution to help you elevate your professional network effortlessly.

Why Choose Sociocosmos?

Authentic LinkedIn Profiles: Buy high-quality, real LinkedIn profiles that align with your industry and target audience.

Targeted Connections: Expand your network with genuine connections to industry influencers, potential clients, and like-minded professionals.

Enhanced Credibility: Boost your professional credibility and establish yourself as an expert in your field.

Increased Visibility: Get noticed by recruiters, hiring managers, and business opportunities.

Time-Saving Solution: Save valuable time and effort by outsourcing the tedious task of building a strong LinkedIn presence.

How It Works:

Select Your Package: Choose from a variety of packages tailored to your specific needs.

Provide Your Requirements: Share your industry, target audience, and desired connection goals.

Experience the Magic: Our team of experts will curate authentic LinkedIn profiles and connections to elevate your professional network.

Elevate Your LinkedIn Presence Today

Don’t let a weak LinkedIn presence hinder your career growth. Join the Sociocosmos community and unlock the power of authentic connections.

[webscreen-scraping]

LinkedIn data scraper extracts the professional user as well as business profile pages. Scraping LinkedIn data can be manually done and it needs a larger amount of time, effort, and human resources. We scrape LinkedIn data within the timeline and make efficiently for you with our LinkedIn profile data scraper. Our LinkedIn data scraper assists in getting potential employees, job posting, and getting data about the recruitments through LinkedIn.

[saturnville]

lovers nor friends | terry richmond

pairing: terry richmond x black fem oc summary: lines always end up crossed between friends with benefits. warnings: 18+ steam. suggestive content. wc: 251 an: yeah, idk if I'll get around to Echoes, so a blurb it is. remember: likes are nice, but reblogs, asks, and comments are encouraged!

They weren’t lovers. No weekly dates, good morning texts, or random bouquets waiting for her when she arrived to work in the morning after a long evening. But, they were far from friends. 

Friends updated each other on what had occurred since their last encounter six months ago, something they’d blame on busy schedules and the circle of life—happy birthday messages and congratulatory notes when LinkedIn profiles were updated and Facebook reminded them of anniversies. Friends had boundaries. Friend didn’t cross lines. They had a role—one they usually played well. 

His role was different. She never planned to welcome auditions for it, not until a pair of seafoam green eyes and a charming smile convinced her to welcome his walk-on. 

He didn’t rehearse lines; they came naturally, quickly rolling off the tongue. Hesiod would be disgraced. For the poetry and carefully crafted sentiments he’d whisper in her ear as he dug into her in search of the finest treasure dripping in honey and liquid gold. 

They weren’t lovers. 

“You feel so good, mama.” Honeyed words, sweet and savory, whispered against the shell of her ear as he relished in the pleasurable pain of her nails scraping his skin. He groaned softly. She whimpered quietly. 

He’d douse her in adoration and gentle care when the night ended—washing her body slowly, massaging her trembling thighs, and wrapping his arms around her while she slept peacefully. “Goodnight, baby,” he whispered, welcoming her back against his chest. 

Neither were they friends.

-

Tags: @mauvecherie-writes @saintslewis @vile-harlot @emjayewrites @turn-thy-paige @theglamclosetsl @kirayuki22 @greedyjudge2 @notapradagurl7 @irishmanwhore @honeytoffee @theogbadbitch @jazziejax @kumkaniudaku @becauseimswagman1

[b2bblogsacceligize]

Next-Gen B2B Lead Generation Software Platforms to Boost ROI in 2025

In 2025, precision is everything in B2B marketing. With buyers conducting extensive research before engaging with vendors, companies can no longer afford to rely on outdated or generic tools. This is why the adoption of next-gen Lead Generation Software has surged across industries. These tools are now smarter, faster, and more predictive than ever, making them central to any modern sales and marketing strategy.

Why B2B Teams Prioritize Lead Generation Software

Today’s Lead Generation Software offers more than just contact databases or form builders. It acts as a full-scale prospecting engine, equipped with:

Advanced intent analytics to identify high-interest accounts

AI-powered outreach automation that mimics human engagement

Behavioral insights to guide nurturing workflows

CRM and MAP integrations for seamless data movement

Let’s explore the top Lead Generation Software platforms driving results for B2B companies in 2025.

1. LeadIQ

LeadIQ helps B2B sales teams prospect faster and smarter. As a cloud-based Lead Generation Software, it focuses on streamlining contact capture, enrichment, and syncing to CRM platforms.

Key Features:

Real-time prospecting from LinkedIn

AI-generated email personalization

Team collaboration and task tracking

Syncs with Salesforce, Outreach, and Salesloft

2. Demandbase

Demandbase combines account intelligence with intent data, making it a powerful Lead Generation Software for enterprise-level ABM strategies. In 2025, its AI engine predicts purchase readiness with impressive accuracy.

Key Features:

Account-based targeting and engagement

Real-time intent signals and analytics

Predictive scoring and segmentation

Integration with MAP and CRM systems

3. AeroLeads

AeroLeads is ideal for SMBs and B2B startups looking for affordable yet effective Lead Generation Software. It enables users to find business emails and phone numbers from LinkedIn and other platforms in real-time.

Key Features:

Chrome extension for live data scraping

Verified contact details with export options

Data enrichment and lead tracking

Integrates with Zapier, Salesforce, and Pipedrive

4. Prospect.io

Prospect.io provides automation-first Lead Generation Software for modern sales teams. It excels in outbound workflows that blend email and calls with analytics.

Key Features:

Multi-step email and task sequences

Lead activity tracking

Lead scoring and pipeline metrics

Gmail and CRM compatibility

5. LeadSquared

LeadSquared has become a go-to Lead Generation Software in sectors like edtech, healthcare, and finance. It combines lead acquisition, nurturing, and sales automation in a single platform.

Key Features:

Landing pages and lead capture forms

Workflow automation based on behavior

Lead distribution and scoring

Built-in calling and email tools

6. CallPage

CallPage converts website traffic into inbound calls, making it a unique Lead Generation Software tool. In 2025, businesses use it to instantly connect leads to sales reps through intelligent callback pop-ups.

Key Features:

Instant callback widgets for websites

Call tracking and lead scoring

Integration with CRMs and analytics tools

VoIP and real-time routing

7. Reply.io

Reply.io automates cold outreach across email, LinkedIn, SMS, and more. It has positioned itself as a top Lead Generation Software solution for teams focused on multichannel engagement.

Key Features:

AI-powered email writing and A/B testing

Task and call management

Real-time analytics and campaign tracking

Integration with CRMs and Zapier

8. Leadzen.ai

Leadzen.ai offers AI-enriched B2B leads through web intelligence. As a newer player in the Lead Generation Software space, it’s earning attention for delivering verified leads with context.

Key Features:

Fresh business leads with smart filters

Enriched data with social profiles and web signals

API support for real-time data syncing

GDPR-compliant lead sourcing

9. Instantly.ai

Instantly.ai is focused on scaling email outreach for demand generation. It positions itself as a self-optimizing Lead Generation Software platform using inbox rotation and performance tracking.

Key Features:

Unlimited email sending with smart rotation

Real-time inbox health and deliverability checks

AI copy testing and reply detection

CRM syncing and reporting dashboards

10. SalesBlink

SalesBlink streamlines the entire sales outreach workflow. As a holistic Lead Generation Software, it covers lead sourcing, outreach automation, and pipeline management under one roof.

Key Features:

Cold email + call + LinkedIn integration

Visual sales sequence builder

Email finder and verifier

Real-time metrics and team tracking

How to Evaluate Lead Generation Software in 2025

Selecting the right Lead Generation Software is not just about feature lists—it’s about alignment with your business model and sales process. Consider these questions:

Is your strategy inbound, outbound, or hybrid?

Do you need global data compliance (e.g., GDPR, CCPA)?

How scalable is the tool for larger teams or markets?

Does it support integration with your existing stack?

A platform that integrates seamlessly, provides enriched data, and enables multi-touch engagement can significantly accelerate your pipeline growth in 2025.

Read Full Article:  https://acceligize.com/featured-blogs/best-b2b-lead-generation-software-to-use-in-2025/

About Us:

Acceligize is a leader in end-to-end global B2B demand generation solutions, and performance marketing services, which help technology companies identify, activate, engage, and qualify their precise target audience at the buying stage they want. We offer turnkey full funnel lead generation using our first party data, and advanced audience intelligence platform which can target data sets using demographic, firmographic, intent, install based, account based, and lookalike models, giving our customers a competitive targeting advantage for their B2B marketing campaigns. With our combined strengths in content marketing, lead generation, data science, and home-grown industry focused technology, we deliver over 100,000+ qualified leads every month to some of the world’s leading publishers, advertisers, and media agencies for a variety of B2B targeted marketing campaigns.

Read more about our Services:

Content Syndication Leads

Marketing Qualified Leads

Sales Qualified Leads

[scrapingdog]

4 Best Proxycurl Alternatives for LinkedIn Data Scraping

Explore top-rated alternatives to Proxycurl for extracting LinkedIn profile and company data at scale. Ideal for recruiters, marketers, and SaaS builders.

[wedesignyouny]

Top 10 AI SDR Platforms in California to Supercharge Your Sales Pipeline

In today’s rapidly evolving sales landscape, integrating artificial intelligence into your sales development process is no longer optional—it’s essential. Sales Development Representatives (SDRs) are the backbone of B2B pipeline generation, and AI-driven SDR platforms are revolutionizing how companies in California generate leads, qualify prospects, and close deals.

Here’s a deep dive into the top 10 AI SDR platforms in California that are helping businesses streamline sales outreach, boost efficiency, and significantly increase conversion rates.

Landbase – AI-Powered Lead Discovery and Outreach

Headquartered in California, Landbase is leading the AI SDR revolution with its data-enriched platform tailored for outbound prospecting. It intelligently combines real-time data with machine learning to identify high-value leads, craft personalized messages, and engage prospects at the right moment.

Key Features:

Dynamic lead scoring

AI-personalized email sequences

CRM integrations

Smart outreach timing

Perfect for B2B sales teams looking to optimize every touchpoint, Landbase turns raw data into real opportunities.

Apollo.io – Intelligent Prospecting and Sales Automation

Based in San Francisco, Apollo.io is one of the most trusted platforms for AI sales engagement. It offers a comprehensive B2B database, AI-assisted messaging, and real-time sales analytics. Its automation features help SDRs reduce manual work and spend more time closing.

Top Tools:

Smart email templates

Data enrichment

Predictive lead scoring

Workflow automation

Apollo.io is a go-to choice for tech startups and enterprises alike.

Outreach – AI Sales Engagement That Converts

Outreach.io, a Seattle-headquartered company with a strong presence in California, provides one of the most powerful AI SDR platforms. It transforms how sales teams operate by offering AI-driven recommendations, sentiment analysis, and performance insights.

What Sets It Apart:

AI-guided selling

Multichannel engagement (email, calls, LinkedIn)

Machine learning-powered insights

Cadence optimization

Outreach is ideal for scaling sales organizations needing data-driven performance tracking.

Cognism – AI Lead Generation with Global Reach

Though originally based in the UK, Cognism has made a strong mark in the California tech ecosystem. Its AI SDR tool helps teams identify ICP (ideal customer profile) leads, comply with global data regulations, and execute personalized outreach.

Highlighted Features:

AI-enhanced contact data

Intent-based targeting

GDPR and CCPA compliance

Integrated sales intelligence

Cognism is perfect for international sales development teams based in California.

Clay – No-Code Platform for AI Sales Automation

Clay enables SDRs to build custom workflows using a no-code approach. The platform empowers sales teams to automate prospecting, research, and outreach with AI scraping and enrichment tools.

Noteworthy Tools:

LinkedIn automation

Web scraping + lead enrichment

AI content generation

Zapier and API integrations

California-based startups that value flexibility and custom workflows gravitate toward Clay.

Lavender – AI-Powered Sales Email Assistant

Lavender isn’t a full-stack SDR platform but is one of the most innovative tools on the market. It acts as an AI email coach, helping SDRs write better-performing sales emails in real time.

Key Features:

Real-time writing feedback

Personalization suggestions

Email scoring and A/B testing

AI grammar and tone check

Sales reps using Lavender have reported higher open and reply rates—a game-changer for outreach campaigns.

Regie.ai – AI Content Generation for Sales Campaigns

California-based Regie.ai blends copywriting and sales strategy into one AI platform. It allows SDRs to create personalized multichannel sequences, from cold emails to LinkedIn messages, aligned with the buyer’s journey.

Top Capabilities:

AI sales sequence builder

Persona-based content creation

A/B testing

CRM and outreach tool integrations

Regie.ai helps your SDR team speak directly to prospects’ pain points with crafted messaging.

Exceed.ai – AI Chatbot and Email Assistant for SDRs

Exceed.ai uses conversational AI to engage leads via email and chat, qualify them, and book meetings—all without human intervention. It’s a great tool for teams with high inbound traffic or looking to scale outbound efficiency.

Standout Features:

Conversational AI chatbot

Lead nurturing via email

Calendar integration

Salesforce/HubSpot compatibility

California companies use Exceed.ai to support their SDRs with 24/7 lead engagement.

Drift – AI Conversational Marketing and Sales Platform

Drift combines sales enablement and marketing automation through conversational AI. Ideal for SDRs focused on inbound sales, Drift captures site visitors and guides them through intelligent chat funnels to qualify and schedule calls.

Core Tools:

AI chatbots with lead routing

Website visitor tracking

Personalized playbooks

Real-time conversation data

Drift’s AI makes the customer journey frictionless, especially for SaaS companies in Silicon Valley.

Seamless.AI – Real-Time Lead Intelligence Platform

Seamless.AI uses real-time data scraping and AI enrichment to build verified B2B contact lists. With its Chrome extension and integration capabilities, SDRs can access lead insights while browsing LinkedIn or corporate sites.

Essential Features:

Verified contact emails and numbers

Real-time search filters

AI-powered enrichment

CRM syncing

Its ease of use and data accuracy make it a must-have for SDRs targeting California’s competitive tech market.

How to Choose the Right AI SDR Platform for Your Business

With numerous AI SDR tools available, selecting the right one depends on your business size, target market, tech stack, and sales strategy. Here are some quick tips:

Define your goals: Are you looking to scale outbound outreach, improve response rates, or automate email campaigns?

Assess integrations: Ensure the platform integrates seamlessly with your existing CRM and sales tools.

Consider customization: Choose a platform that allows flexibility for custom workflows and sequences.

Look at analytics: Prioritize platforms that offer robust data and insights to refine your strategy.

Final Thoughts

Adopting an AI SDR platform isn’t just a competitive advantage—it’s a necessity in California’s high-stakes, fast-moving sales environment. Whether you’re a startup in Palo Alto or an enterprise in Los Angeles, leveraging these AI tools can dramatically enhance your pipeline growth and sales performance.

Take the next step in modernizing your sales process by choosing the AI SDR platform that best aligns with your business needs. Let technology do the heavy lifting so your team can focus on what they do best—closing deals.

[scrapin1]

Unveiling the Power of LinkedIn Scraping: Enhancing Your Networking Game

In the fast-paced world of professional networking, having a strong online presence is essential. LinkedIn, being the go-to platform for professionals across various industries, offers a plethora of opportunities for networking, job hunting, and business development. However, manually extracting data from LinkedIn profiles can be time-consuming and tedious. This is where LinkedIn profile scraper come into play, revolutionizing the way we gather valuable information for our networking endeavors.

The Rise of LinkedIn Scraping Tools

LinkedIn scraping tools have gained popularity among professionals and businesses alike for their ability to automate the process of extracting data from LinkedIn profiles swiftly and efficiently. These tools leverage web scraping techniques to gather information such as names, job titles, companies, education backgrounds, and even contact details from LinkedIn profiles.

With the click of a button, LinkedIn scraper tool can comb through hundreds or even thousands of profiles, saving users valuable time and effort. Whether you're a recruiter looking to build a talent pipeline, a salesperson seeking leads, or a marketer conducting market research, LinkedIn scraping tools can provide you with the data you need to fuel your endeavors.

Enhancing Your Networking Strategy

By harnessing the power of LinkedIn scrapers, professionals can enhance their networking strategy significantly. Instead of manually browsing through profiles one by one, users can now extract relevant information in bulk, allowing them to identify potential connections more efficiently.

For job seekers, LinkedIn scrapers can be invaluable in gathering insights about hiring managers and recruiters, helping them tailor their applications and outreach efforts effectively. Similarly, sales professionals can use LinkedIn scraping tools to identify decision-makers within target companies, enabling them to craft personalized pitches and drive more meaningful conversations.

The Benefits of Real-Time Data Scraping

One of the key advantages of LinkedIn scraping tools is their ability to provide real-time data scraping of profiles and company information at scale. This means that users can access the most up-to-date information available on LinkedIn, ensuring that their networking efforts are based on accurate and timely data.

Whether you're tracking industry trends, monitoring competitor activity, or keeping tabs on potential leads, real-time data scraping can give you a competitive edge in today's dynamic business landscape. With LinkedIn scrapers, you can stay ahead of the curve and make informed decisions based on the latest insights available.

Your Go-To LinkedIn Scraping Solution

When it comes to LinkedIn scraping tools, Scrapin stands out as a reliable and user-friendly solution for professionals and businesses seeking to streamline their networking efforts. With its intuitive interface and powerful features, Scrapin makes it easy to extract valuable data from LinkedIn profiles with precision and speed.

Whether you're a seasoned recruiter, a sales ninja, or a budding entrepreneur, Scrapin has got you covered. With its streamlined LinkedIn scraper API, you can access real-time data scraping capabilities and unlock a world of opportunities for networking and business growth.

Conclusion:

LinkedIn scraping tools such as Scrapin offer a game-changing solution for professionals looking to elevate their networking game. By automating the process of extracting data from LinkedIn profiles, these tools empower users to gather valuable insights quickly and efficiently, giving them a competitive edge in today's digital landscape. So why waste time manually browsing through profiles when you can harness the power of LinkedIn scraping? Try Scrapin.io today and supercharge your networking efforts like never before!

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[cleverhottubmiracle]

[ad_1] In this tutorial, we walk you through building an enhanced web scraping tool that leverages BrightData’s powerful proxy network alongside Google’s Gemini API for intelligent data extraction. You’ll see how to structure your Python project, install and import the necessary libraries, and encapsulate scraping logic within a clean, reusable BrightDataScraper class. Whether you’re targeting Amazon product pages, bestseller listings, or LinkedIn profiles, the scraper’s modular methods demonstrate how to configure scraping parameters, handle errors gracefully, and return structured JSON results. An optional React-style AI agent integration also shows you how to combine LLM-driven reasoning with real-time scraping, empowering you to pose natural language queries for on-the-fly data analysis. !pip install langchain-brightdata langchain-google-genai langgraph langchain-core google-generativeai We install all of the key libraries needed for the tutorial in one step: langchain-brightdata for BrightData web scraping, langchain-google-genai and google-generativeai for Google Gemini integration, langgraph for agent orchestration, and langchain-core for the core LangChain framework. import os import json from typing import Dict, Any, Optional from langchain_brightdata import BrightDataWebScraperAPI from langchain_google_genai import ChatGoogleGenerativeAI from langgraph.prebuilt import create_react_agent These imports prepare your environment and core functionality: os and json handle system operations and data serialization, while typing provides structured type hints. You then bring in BrightDataWebScraperAPI for BrightData scraping, ChatGoogleGenerativeAI to interface with Google’s Gemini LLM, and create_react_agent to orchestrate these components in a React-style agent. class BrightDataScraper: """Enhanced web scraper using BrightData API""" def __init__(self, api_key: str, google_api_key: Optional[str] = None): """Initialize scraper with API keys""" self.api_key = api_key self.scraper = BrightDataWebScraperAPI(bright_data_api_key=api_key) if google_api_key: self.llm = ChatGoogleGenerativeAI( model="gemini-2.0-flash", google_api_key=google_api_key ) self.agent = create_react_agent(self.llm, [self.scraper]) def scrape_amazon_product(self, url: str, zipcode: str = "10001") -> Dict[str, Any]: """Scrape Amazon product data""" try: results = self.scraper.invoke( "url": url, "dataset_type": "amazon_product", "zipcode": zipcode ) return "success": True, "data": results except Exception as e: return "success": False, "error": str(e) def scrape_amazon_bestsellers(self, region: str = "in") -> Dict[str, Any]: """Scrape Amazon bestsellers""" try: url = f" results = self.scraper.invoke( "url": url, "dataset_type": "amazon_product" ) return "success": True, "data": results except Exception as e: return "success": False, "error": str(e) def scrape_linkedin_profile(self, url: str) -> Dict[str, Any]: """Scrape LinkedIn profile data""" try: results = self.scraper.invoke( "url": url, "dataset_type": "linkedin_person_profile" ) return "success": True, "data": results except Exception as e: return "success": False, "error": str(e) def run_agent_query(self, query: str) -> None: """Run AI agent with natural language query""" if not hasattr(self, 'agent'): print("Error: Google API key required for agent functionality") return try: for step in self.agent.stream( "messages": query, stream_mode="values" ): step["messages"][-1].pretty_print() except Exception as e: print(f"Agent error: e") def print_results(self, results: Dict[str, Any], title: str = "Results") -> None: """Pretty print results""" print(f"\n'='*50") print(f"title") print(f"'='*50") if results["success"]: print(json.dumps(results["data"], indent=2, ensure_ascii=False)) else: print(f"Error: results['error']") print() The BrightDataScraper class encapsulates all BrightData web-scraping logic and optional Gemini-powered intelligence under a single, reusable interface. Its methods enable you to easily fetch Amazon product details, bestseller lists, and LinkedIn profiles, handling API calls, error handling, and JSON formatting, and even stream natural-language “agent” queries when a Google API key is provided. A convenient print_results helper ensures your output is always cleanly formatted for inspection. def main(): """Main execution function""" BRIGHT_DATA_API_KEY = "Use Your Own API Key" GOOGLE_API_KEY = "Use Your Own API Key" scraper = BrightDataScraper(BRIGHT_DATA_API_KEY, GOOGLE_API_KEY) print("🛍️ Scraping Amazon India Bestsellers...") bestsellers = scraper.scrape_amazon_bestsellers("in") scraper.print_results(bestsellers, "Amazon India Bestsellers") print("📦 Scraping Amazon Product...") product_url = " product_data = scraper.scrape_amazon_product(product_url, "10001") scraper.print_results(product_data, "Amazon Product Data") print("👤 Scraping LinkedIn Profile...") linkedin_url = " linkedin_data = scraper.scrape_linkedin_profile(linkedin_url) scraper.print_results(linkedin_data, "LinkedIn Profile Data") print("🤖 Running AI Agent Query...") agent_query = """ Scrape Amazon product data for in New York (zipcode 10001) and summarize the key product details. """ scraper.run_agent_query(agent_query) The main() function ties everything together by setting your BrightData and Google API keys, instantiating the BrightDataScraper, and then demonstrating each feature: it scrapes Amazon India’s bestsellers, fetches details for a specific product, retrieves a LinkedIn profile, and finally runs a natural-language agent query, printing neatly formatted results after each step. if __name__ == "__main__": print("Installing required packages...") os.system("pip install -q langchain-brightdata langchain-google-genai langgraph") os.environ["BRIGHT_DATA_API_KEY"] = "Use Your Own API Key" main() Finally, this entry-point block ensures that, when run as a standalone script, the required scraping libraries are quietly installed, and the BrightData API key is set in the environment. Then the main function is executed to initiate all scraping and agent workflows. In conclusion, by the end of this tutorial, you’ll have a ready-to-use Python script that automates tedious data collection tasks, abstracts away low-level API details, and optionally taps into generative AI for advanced query handling. You can extend this foundation by adding support for other dataset types, integrating additional LLMs, or deploying the scraper as part of a larger data pipeline or web service. With these building blocks in place, you’re now equipped to gather, analyze, and present web data more efficiently, whether for market research, competitive intelligence, or custom AI-driven applications. Check out the Notebook. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences. [ad_2] Source link

[searchengineoptimisationsg]

Best LinkedIn Lead Generation Tools in 2025

In today’s competitive digital landscape, finding the right tools can make all the difference when it comes to scaling your outreach. Whether you’re a small business owner or part of an in-house marketing team, leveraging advanced platforms will help you target prospects more effectively. If you’re looking to boost your B2B pipeline, integrating the latest solutions—alongside smart linkedin advertising singapore strategies—can supercharge your lead flow.

1. LinkedIn Sales Navigator LinkedIn’s own premium platform remains a top choice for many professionals. It offers: • Advanced lead and company search filters for pinpoint accuracy. • Lead recommendations powered by LinkedIn’s AI to discover new prospects. • InMail messaging and CRM integrations to streamline follow-ups. • Real-time insights and alerts on saved leads and accounts.

2. Dux-Soup Dux-Soup automates connection and outreach workflows, helping you: • Auto-view profiles based on your search criteria. • Send personalized connection requests and follow-up messages. • Export prospect data to your CRM or spreadsheet. • Track interaction history and engagement metrics—all without leaving your browser.

3. Octopus CRM Octopus CRM is a user-friendly LinkedIn extension designed for: • Crafting multi-step outreach campaigns with conditional logic. • Auto-sending connection requests, messages, and profile visits. • Building custom drip sequences to nurture leads over time. • Exporting campaign reports to Excel or Google Sheets for analytics.

4. Zopto Ideal for agencies and teams, Zopto provides cloud-based automation with: • Region and industry-specific targeting to refine your list. • Easy A/B testing of outreach messages. • Dashboard with engagement analytics and performance benchmarks. • Team collaboration features to share campaigns and track results.

5. LeadFuze LeadFuze goes beyond LinkedIn to curate multi-channel lead lists: • Combines LinkedIn scraping with email and phone data. • Dynamic list building based on job titles, keywords, and company size. • Automated email outreach sequences with performance tracking. • API access for seamless integration with CRMs and sales tools.

6. PhantomBuster PhantomBuster’s flexible automation platform unlocks custom workflows: • Pre-built “Phantoms” for LinkedIn searches, views, and message blasts. • Scheduling and chaining of multiple actions for sophisticated campaigns. • Data extraction capabilities to gather profile details at scale. • Webhooks and JSON output for developers to integrate with other apps.

7. Leadfeeder Leadfeeder uncovers which companies visit your website and marries that data with LinkedIn: • Identifies anonymous web traffic and matches it to LinkedIn profiles. • Delivers daily email alerts on high-value company visits. • Integrates with your CRM to enrich contact records automatically. • Provides engagement scoring to prioritise outreach efforts.

8. Crystal Knows Personality insights can transform your messaging. Crystal Knows offers: • Personality reports for individual LinkedIn users. • Email templates tailored to each prospect’s communication style. • Chrome extension that overlays insight cards on LinkedIn profiles. • Improved response rates through hyper-personalised outreach.

Key Considerations for 2025 When choosing a LinkedIn lead generation tool, keep these factors in mind: • Compliance & Safety: Ensure the platform follows LinkedIn’s terms and respects user privacy. • Ease of Integration: Look for native CRM connectors or robust APIs. • Scalability: Your tool should grow with your outreach volume and team size. • Analytics & Reporting: Data-driven insights help you refine messaging and targeting.

Integrating with Your Singapore Strategy For businesses tapping into Asia’s growth markets, combining these tools with linkedin advertising singapore campaigns unlocks both organic and paid lead channels. By syncing automated outreach with sponsored content, you’ll cover every stage of the buyer journey—from initial awareness to final conversion.

Conclusion

As 2025 unfolds, LinkedIn lead generation continues to evolve with smarter AI, more seamless integrations, and deeper analytics. By selecting the right mix of tools—from Sales Navigator’s native power to specialized platforms like Crystal Knows—you can craft a robust, efficient pipeline. Pair these solutions with targeted linkedin advertising singapore tactics, and you’ll be well-positioned to capture high-quality leads, nurture them effectively, and drive sustained growth in the competitive B2B arena.

[holyconnoisseurfun]

Zero-Click Content (ZCC): The 2025 Game-Changer Your Prayagraj Brand Can’t Ignore

1.What Exactly Is Zero-Click Content?

Zero-Click Content (ZCC) is any post, reel, carousel, or snippet that gives pura paisa-vasool value without asking the viewer to open a link. Whether it’s an Instagram carousel that explains a full how-to, a LinkedIn mini-blog, or a YouTube Shorts explainer, the user learns something, feels something, and remembers your brand—all within the platform.

2. Why Algorithms & Audiences ZCC

Platform Preference: Instagram, LinkedIn, and even Google’s featured snippets reward content that keeps users on-site.

Instant Gratification: Gen Z and busy millennials want right-here-right-now answers.

Shareability: Bite-sized knowledge bombs get re-shared faster than long-form blogs.

Pro Tip: A seasoned Online Marketing Agency In Prayagraj can repurpose your long blogs into high-impact ZCC, saving you time and ad budget.

3. How ZCC Powers Your Funnel—Even Without Clicks

Brand Recall: Viewers associate the quick win with you.

Follower Growth: More saves & shares = organic reach spike.

Lower Ad Costs: Algorithms favor high-engagement posts, bringing CPMs (Cost Per Mile) down for your PPC Services In Prayagraj.

First-Party Data: Slide-in polls and quizzes capture emails for your Email Marketing Services Prayagraj—no external form needed!

  4. Plugging ZCC Into Your Local Marketing Stack

Combine with Paid: Promote high-performing ZCC via PPC Services In Prayagraj to dominate feeds cheaply.

Email Spillover: Drop your infographic inside a newsletter—instant engagement for Email Marketing Services Prayagraj.

SEO Boost: Answer-style carousels often get scraped into Google’s People-Also-Ask, giving free visibility to your digital marketing services Prayagraj.

 5. Measuring Success: Focus on Engagement KPIs

Metric

Why It Matters

Saves

Indicates evergreen value

Shares/Forwards

Shows virality potential

Average Watch Time

Critical for Reels/Shorts ranking

Profile Visits

A precursor to follows & DMs

Clicks are great, but these off-page signals tell you whether your ZCC is truly resonating.

6. From Zero Clicks to Hero Leads—Your Next Step

Audit your existing long-form pieces—pick 5 evergreen blogs.

Repurpose each into at least two ZCC formats this week.

Promote the top performer with a modest ₹1,000 test budget via your go-to online marketing agency Prayagraj.

Retarget engagers with a lead-gen ad funnel—then nurture via hyper-personalized Email Marketing Services Prayagraj.

Final Thought

Zero-Click Content isn’t killing websites; it’s fueling a smarter, engagement-first journey. Brands in Prayagraj that master ZCC today will own tomorrow’s attention economy. Ready to start? Partner with a Content Marketing Agency In Prayagraj that lives and breathes this trend—and watch your reach skyrocket, click or no click!

 📞 Call us at +91 75240 57749 📧 Email: thedigibazzar@gmail.com 🌐 Visit: https://thedigibazzar.com/

[lawyersdatascraping]

Scrape Registered USA Lawyers Email List from Websites

Scrape Registered USA Lawyers Email List from Websites

Boost Your Legal Outreach with a Verified USA Lawyers Email List from Lawyersdatalab.com. Reaching the right legal professionals is key to successful legal marketing and client acquisition. At Lawyersdatalab.com, we focus on extracting and providing verified contact details of licensed attorneys throughout the United States. Our USA Lawyers Email List by Lawyers Data Lab offers a powerful resource for law firms, legal marketers, and B2B service providers looking to target attorneys by practice area, location, or specialization.

Why Choose a USA Lawyers Email List? Whether you're promoting legal tech services, organizing legal events, or offering law firm solutions, targeting the right audience is crucial. Our USA Lawyers Email List Scraping from Websites helps you connect directly with licensed attorneys, streamlining your outreach and increasing engagement rates.

Key Data Fields Included:

Full Name of Attorney

Verified Email Address

Phone Number

Law Firm/Company Name

Practice Areas (e.g., Family Law, Personal Injury, Criminal Law)

Office Address (City, State, ZIP)

State Bar Registration Details

Years of Experience

LinkedIn and Website URLs

Top Benefits of Our USA Lawyers Email List:

Precision Targeting: Focus your campaigns by legal specialty, geography, or firm size.

Efficient Lead Generation: Save time by accessing pre-verified attorney contact data.

Enhanced Engagement: Reach real lawyers with personalized, high-performing email campaigns.

Increased ROI: Reduce bounce rates and maximize campaign success with clean, structured data.

Legal Industry Insight: Gain access to rich attorney profiles for smarter business development.

Popular Lawyers Mailing Lists We Offer:

Family Lawyers Email List

Criminal Defense Lawyers Contact Database

Personal Injury Attorneys Email List

Immigration Lawyers Mailing List

Corporate Lawyers Email List

Civil Rights Attorneys Database

Bankruptcy Lawyers Email List

Real Estate Lawyers Contact List

Employment Attorneys Email List

Why Lawyersdatalab.com?

Up-to-Date & Verified Data

Compliant & Secure Data Collection

Custom Lists Available by State, Practice Area, or Law Firm Size

Quick Turnaround and Easy-to-Use Formats (CSV, Excel)

Popular Data Extraction Services

Scraping Lawyers Database from Law Websites

Bankruptcy Lawyers Email List in Australia

Targeted Massachusetts Attorney Email List

Verified Personal Injury Attorney Contact List

Extracting Lawyers Data from State Bar Directories

Bankruptcy Lawyers Marketing Email List

Scraping Law Firms Database

Verified Family Law Attorneys Email Database

Natural Resources Attorneys Email List

Verified Products Liability Attorneys Email List

Verified Lawyers Email List in USA:

Los Angeles, Denver, Phoenix, Las Vegas, Portland, San Diego, Detroit, Seattle, Sacramento, Chicago, Boston, Kansas City, Philadelphia, San Francisco, Miami, Albuquerque, Oakland, Baltimore, Tucson, Austin, Minneapolis, Columbus, Charlotte, Washington D.C., New York City, Oklahoma City, Raleigh, and more.

Ready to Expand Your Legal Network? Unlock a high-quality, ready-to-use USA Lawyers Email List and drive results for your legal marketing or outreach campaign.

📧 Email:info@lawyersdatalab.com🌐 Website:Lawyersdatalab.com

[ishitabadlani]

How to Generate B2B Leads on LinkedIn Using Automated LinkedIn Outreach (Without Being Spammy)

If you're selling to decision-makers, LinkedIn is where your ideal buyers hang out. With over 1 billion professionals, including CEOs, CTOs, marketers, and founders, it’s the goldmine for B2B outreach.

But just sending “Hey, I help companies like yours…” messages won’t cut it anymore.

In this guide, we’ll walk you through how to generate B2B leads on LinkedIn—and how to scale it with automated LinkedIn outreach that feels human, not robotic.

Step 1: Optimize Your LinkedIn Profile (It’s Your Landing Page)

Before you start generating leads, your profile needs to do three things:

✅ Clearly communicate what you do ✅ Show credibility (testimonials, case studies, media) ✅ Include a clear CTA (Calendly link, website, or lead magnet)

Make sure your headline is benefit-driven (not just your job title). Example: 💼 Helping B2B SaaS Founders Generate 30+ Qualified Leads Monthly | LinkedIn + Email Automation Expert

Step 2: Define Your ICP and Build a Laser-Focused Search

You don’t need everyone—just the right ones.

✔️ Use LinkedIn Sales Navigator to filter by industry, job title, company size, geography, etc. ✔️ Save your target lists so they can be plugged into your automation later. ✔️ Avoid generic filters—build niche-specific segments (e.g., HR Heads at 51–200 employee tech startups in London).

Step 3: Warm-Up With Content Before Outreach

Before pitching, post content for 2–3 weeks to build authority:

Share customer results

Break down industry problems

Post bite-sized case studies

Add thought-leader comments under trending posts

This improves your response rate by 2x–3x when you start messaging.

Step 4: Automate Smartly (Without Sounding Like a Bot)

Now, let’s talk automated LinkedIn outreach.

⚙️ Tools You Can Use:

HeyReach – Multi-account outreach

Smartlead – Omnichannel with email + LinkedIn + warm-up

Zopto – Great for top-funnel lead scraping

Waalaxy – Simple and visual for beginners

You can set sequences like:

Connect Request: "Hey [First Name], saw you’re working on [industry topic]. Would love to connect!"

Follow-up Day 1: "Thanks for connecting! Out of curiosity—are you open to strategies that help [pain point]?"

Follow-up Day 4: "Here’s a 2-min case study where we helped [company type] get [result]. Let me know if worth a chat."

✅ Keep it conversational ❌ Avoid pitching in the first message

Step 5: Track, Test, Tweak

Not all messages or lists will work the same. So:

A/B test your connection request & follow-up copy

Try different CTA types: “worth a chat?” vs “open to ideas?”

Monitor your reply rate, acceptance rate, and meeting rate

Use tools like Expandi or Phantombuster for deeper analytics and personalization.

Bonus: Combine LinkedIn + Email for a 1–2 Punch

Many B2B founders don’t reply on LinkedIn but will respond to a well-timed email. Use your LinkedIn outreach to warm up the prospect, then follow up via email.

✅ Build your lead list ✅ Engage with content ✅ Connect on LinkedIn ✅ Follow up via personalized email

This omnichannel method boosts conversions by 30–40% over LinkedIn-only outreach.

Final Thoughts

Learning how to generate B2B leads on LinkedIn is less about volume, more about relevance and timing.

With automated LinkedIn outreach, you can scale your efforts—but only if done with a human touch.

Focus on targeting, storytelling, and genuine engagement—and LinkedIn can become your #1 predictable growth channel in 2025.

[scrapin1]

Unlocking Valuable Insights: How to Extract Information from LinkedIn

In today's digitally-driven world, leveraging the power of social networks like LinkedIn has become crucial for professionals and businesses alike. With over 700 million users globally, LinkedIn serves as a goldmine of valuable data and insights. On the other hand, gathering this data by hand might be laborious and ineffective. That's where automated tools come into play, enabling users to extract information from LinkedIn swiftly and efficiently.

Understanding the Importance of LinkedIn Data Extraction

LinkedIn holds a wealth of information, including professional profiles, company details, job postings, and industry trends. Extracting data from LinkedIn allows businesses to gain competitive intelligence, identify potential leads, recruit top talent, and analyze market trends. Whether it's researching competitors, building targeted marketing campaigns, or expanding professional networks, access to LinkedIn data is invaluable.

Streamlining the Data Extraction Process

Traditionally, extracting data from LinkedIn involved manual copying and pasting, which is not only labor-intensive but also prone to errors. Fortunately, advancements in technology have led to the development of automated web scraping tools like Scrapin. These tools utilize web scraping algorithms to systematically extract data from LinkedIn profiles and company pages with precision and efficiency.

The Power of Scrapin

Scrapin is a leading platform that offers a streamlined LinkedIn scraper API for real-time data scraping of profiles and company information at scale. By leveraging Scrapin API, users can access a wealth of LinkedIn data in a matter of seconds, saving time and resources. Whether you're a recruiter looking to source candidates, a sales professional seeking leads, or a market researcher analyzing industry trends, Scrapin empowers you to extract valuable insights with ease.

Enhancing Business Intelligence with LinkedIn Data

The ability to extract information from LinkedIn opens up a world of possibilities for businesses across various industries. By analyzing LinkedIn data, companies can gain deep insights into market trends, customer preferences, and competitor strategies. This information enables informed decision-making, allowing businesses to stay ahead of the curve and drive growth.

Ensuring Compliance and Ethical Data Use

While LinkedIn scraping offers numerous benefits, it's essential to ensure compliance with legal and ethical standards. Scrapin prioritizes data privacy and security, adhering to all relevant regulations and guidelines. By obtaining consent and respecting users' privacy settings, Scrapin ensures that data extraction is conducted responsibly and ethically.

Conclusion:

Extracting information from LinkedIn is essential for businesses seeking to gain a competitive edge in today's digital landscape. With tools like Scrapin.io, users can automate the data extraction process and access valuable insights in real-time. By leveraging LinkedIn data, businesses can enhance their marketing strategies, streamline recruitment processes, and make informed business decisions. With Scrapin streamlined LinkedIn scraper API, the power of LinkedIn data is at your fingertips, empowering you to unlock new opportunities and drive success.

Blog Source URL :

[cleverhottubmiracle]

[ad_1] In this tutorial, we walk you through building an enhanced web scraping tool that leverages BrightData’s powerful proxy network alongside Google’s Gemini API for intelligent data extraction. You’ll see how to structure your Python project, install and import the necessary libraries, and encapsulate scraping logic within a clean, reusable BrightDataScraper class. Whether you’re targeting Amazon product pages, bestseller listings, or LinkedIn profiles, the scraper’s modular methods demonstrate how to configure scraping parameters, handle errors gracefully, and return structured JSON results. An optional React-style AI agent integration also shows you how to combine LLM-driven reasoning with real-time scraping, empowering you to pose natural language queries for on-the-fly data analysis. !pip install langchain-brightdata langchain-google-genai langgraph langchain-core google-generativeai We install all of the key libraries needed for the tutorial in one step: langchain-brightdata for BrightData web scraping, langchain-google-genai and google-generativeai for Google Gemini integration, langgraph for agent orchestration, and langchain-core for the core LangChain framework. import os import json from typing import Dict, Any, Optional from langchain_brightdata import BrightDataWebScraperAPI from langchain_google_genai import ChatGoogleGenerativeAI from langgraph.prebuilt import create_react_agent These imports prepare your environment and core functionality: os and json handle system operations and data serialization, while typing provides structured type hints. You then bring in BrightDataWebScraperAPI for BrightData scraping, ChatGoogleGenerativeAI to interface with Google’s Gemini LLM, and create_react_agent to orchestrate these components in a React-style agent. class BrightDataScraper: """Enhanced web scraper using BrightData API""" def __init__(self, api_key: str, google_api_key: Optional[str] = None): """Initialize scraper with API keys""" self.api_key = api_key self.scraper = BrightDataWebScraperAPI(bright_data_api_key=api_key) if google_api_key: self.llm = ChatGoogleGenerativeAI( model="gemini-2.0-flash", google_api_key=google_api_key ) self.agent = create_react_agent(self.llm, [self.scraper]) def scrape_amazon_product(self, url: str, zipcode: str = "10001") -> Dict[str, Any]: """Scrape Amazon product data""" try: results = self.scraper.invoke( "url": url, "dataset_type": "amazon_product", "zipcode": zipcode ) return "success": True, "data": results except Exception as e: return "success": False, "error": str(e) def scrape_amazon_bestsellers(self, region: str = "in") -> Dict[str, Any]: """Scrape Amazon bestsellers""" try: url = f" results = self.scraper.invoke( "url": url, "dataset_type": "amazon_product" ) return "success": True, "data": results except Exception as e: return "success": False, "error": str(e) def scrape_linkedin_profile(self, url: str) -> Dict[str, Any]: """Scrape LinkedIn profile data""" try: results = self.scraper.invoke( "url": url, "dataset_type": "linkedin_person_profile" ) return "success": True, "data": results except Exception as e: return "success": False, "error": str(e) def run_agent_query(self, query: str) -> None: """Run AI agent with natural language query""" if not hasattr(self, 'agent'): print("Error: Google API key required for agent functionality") return try: for step in self.agent.stream( "messages": query, stream_mode="values" ): step["messages"][-1].pretty_print() except Exception as e: print(f"Agent error: e") def print_results(self, results: Dict[str, Any], title: str = "Results") -> None: """Pretty print results""" print(f"\n'='*50") print(f"title") print(f"'='*50") if results["success"]: print(json.dumps(results["data"], indent=2, ensure_ascii=False)) else: print(f"Error: results['error']") print() The BrightDataScraper class encapsulates all BrightData web-scraping logic and optional Gemini-powered intelligence under a single, reusable interface. Its methods enable you to easily fetch Amazon product details, bestseller lists, and LinkedIn profiles, handling API calls, error handling, and JSON formatting, and even stream natural-language “agent” queries when a Google API key is provided. A convenient print_results helper ensures your output is always cleanly formatted for inspection. def main(): """Main execution function""" BRIGHT_DATA_API_KEY = "Use Your Own API Key" GOOGLE_API_KEY = "Use Your Own API Key" scraper = BrightDataScraper(BRIGHT_DATA_API_KEY, GOOGLE_API_KEY) print("🛍️ Scraping Amazon India Bestsellers...") bestsellers = scraper.scrape_amazon_bestsellers("in") scraper.print_results(bestsellers, "Amazon India Bestsellers") print("📦 Scraping Amazon Product...") product_url = " product_data = scraper.scrape_amazon_product(product_url, "10001") scraper.print_results(product_data, "Amazon Product Data") print("👤 Scraping LinkedIn Profile...") linkedin_url = " linkedin_data = scraper.scrape_linkedin_profile(linkedin_url) scraper.print_results(linkedin_data, "LinkedIn Profile Data") print("🤖 Running AI Agent Query...") agent_query = """ Scrape Amazon product data for in New York (zipcode 10001) and summarize the key product details. """ scraper.run_agent_query(agent_query) The main() function ties everything together by setting your BrightData and Google API keys, instantiating the BrightDataScraper, and then demonstrating each feature: it scrapes Amazon India’s bestsellers, fetches details for a specific product, retrieves a LinkedIn profile, and finally runs a natural-language agent query, printing neatly formatted results after each step. if __name__ == "__main__": print("Installing required packages...") os.system("pip install -q langchain-brightdata langchain-google-genai langgraph") os.environ["BRIGHT_DATA_API_KEY"] = "Use Your Own API Key" main() Finally, this entry-point block ensures that, when run as a standalone script, the required scraping libraries are quietly installed, and the BrightData API key is set in the environment. Then the main function is executed to initiate all scraping and agent workflows. In conclusion, by the end of this tutorial, you’ll have a ready-to-use Python script that automates tedious data collection tasks, abstracts away low-level API details, and optionally taps into generative AI for advanced query handling. You can extend this foundation by adding support for other dataset types, integrating additional LLMs, or deploying the scraper as part of a larger data pipeline or web service. With these building blocks in place, you’re now equipped to gather, analyze, and present web data more efficiently, whether for market research, competitive intelligence, or custom AI-driven applications. Check out the Notebook. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences. [ad_2] Source link