#how to scrape data from linkedin

[justforbooks]

Internet users advised to change passwords after 16bn logins exposed

Hacked credentials could give cybercriminals access to Facebook, Meta and Google accounts among others

Internet users have been told to change their passwords and upgrade their digital security after researchers claimed to have revealed the scale of sensitive information – 16bn login records – potentially available to cybercriminals.

Researchers at Cybernews, an online tech publication, said they had found 30 datasets stuffed with credentials harvested from malicious software known as “infostealers” and leaks.

The researchers said the datasets were exposed “only briefly” but amounted to 16bn login records, with an unspecified number of overlapping records – meaning it is difficult to say definitively how many accounts or people have been exposed.

Cybernews said the credentials could open access to services including Facebook, Apple and Google – although there had been no “centralised data breach” at those companies.

Bob Diachenko, the Ukrainian cybersecurity specialist behind the research, said the datasets had become temporarily available after being poorly stored on remote servers – before being removed again. Diachenko said he was able to download the files and would aim to contact individuals and companies that had been exposed.

“It will take some time of course because it is an enormous amount of data,” he said.

Diachenko said the information he had seen in infostealer logs included login URLs to Apple, Facebook and Google login pages. Apple and Facebook’s parent, Meta, have been contacted for comment.

A Google spokesperson said the data reported by Cybernews did not stem from a Google data breach – and recommended people use tools like Google’s password manager to protect their accounts.

Internet users are also able to check if their email has been compromised in a data breach by using the website haveibeenpwned.com. Cybernews said the information seen in the datasets followed a “clear structure: URL, followed by login details and a password”.

Diachenko said the data appeared to be “85% infostealers” and about 15% from historical data breaches such as a leak suffered by LinkedIn.

Experts said the research underlined the need to update passwords regularly and adopt tough security measures such as multifactor authentication – or combining a password with another form of verification such as a code texted from a phone. Other recommended measures include passkeys, a password-free method championed by Google and Facebook’s owner, Meta.

“While you’d be right to be startled at the huge volume of data exposed in this leak it’s important to note that there is no new threat here: this data will have already likely have been in circulation,” said Peter Mackenzie, the director of incident response and readiness at the cybersecurity firm Sophos.

Mackenzie said the research underlined the scale of data that can be accessed by online criminals.

“What we are understanding is the depth of information available to cybercriminals.” He added: “It is an important reminder to everyone to take proactive steps to update passwords, use a password manager and employ multifactor authentication to avoid credential issues in the future.”

Toby Lewis, the global head of threat analysis at the cybersecurity firm Darktrace, said the data flagged in the research is hard to verify but infostealers – the malware reportedly behind the data theft – are “very much real and in use by bad actors”.

He said: “They don’t access a user’s account but instead scrape information from their browser cookies and metadata. If you’re following good practice of using password managers, turning on two-factor authentication and checking suspicious logins, this isn’t something you should be greatly worried about.”

Cybernews said none of the datasets have been reported previously barring one revealed in May with 184m records. It described the datasets as a “blueprint for mass exploitation” including “account takeover, identity theft, and highly targeted phishing”.

The researchers added: “The only silver lining here is that all of the datasets were exposed only briefly: long enough for researchers to uncover them, but not long enough to find who was controlling vast amounts of data.”

Alan Woodward, a professor of cybersecurity at Surrey University, said the news was a reminder to carry out “password spring cleaning”. He added: “The fact that everything seems to be breached eventually is why there is such a big push for zero trust security measures.”

Daily inspiration. Discover more photos at Just for Books…?

[skrutskie]

THE SALVATION GAMBIT is out today!

And boy, what a weird time it is to be releasing a book in which con artists face off against an artificial intelligence. When I started drafting this book, AI was nowhere near the front of most people’s minds. On this, the day it released, many authors (myself included) are discovering their books were scraped in the Books3 data set. WGA leaders are voting on a historic deal today that will protect screenwriters from the use of generative AI to devalue their labor. And just two weeks ago, a casino was hacked, not via a complicated algorithm that wormed into their systems, but by someone impersonating employees using information found on LinkedIn to gain access via the casino’s own help desk.

I thought I was writing a HAL-9000 sendup, a throwback to the diabolical AI villains we know and love, but THE SALVATION GAMBIT’s take on AI turned out to be far more relevant than I ever dared to dream. THE SALVATION GAMBIT is all about the seductive nature of outsourcing your thinking to a machine that has its biases baked in. About how the natural ally and natural enemy of artificial intelligence in equal measure is the con artist. And about how, if you can think your way around the version of reality that an AI has constructed, you might just be able to beat it.

Murdock and her crew of cons are loose in the world, and I’m so grateful for every single person who’s given them a chance to steal their hearts. Strap in folks. This one’s a wild ride.

Get your copy today!

[itreallyiskyler]

A few days ago, someone scraped my LinkedIn information, created a fake Twitter account and has been using my likeness to share company "secrets".

While it sucks to be impersonated, the real kick to the kidneys has been Twitter's takedown policy. In order to issue a takedown, I have to upload a selfie and a government issued ID _AND_ consent to the extraction of biometric data from the pictures for the training of AI models.

I deleted my own Twitter account recently. Aside from the political statement of leaving itself, one of the other driving factors was a change to Twitter's ToS that said that every photo on the platform would be used for AI training.

When I was growing up, I was told racist stories about "tribes in Africa" that believed that when you took someone's photograph it stole their soul. But in reflecting on the AI-driven hellscape we've created, it is remarkable that much of the technology we are building requires commodifying every aspect of yourself and letting corporations take and use pieces of yourself: your face, your smile, your thumbprint, your voice, your pictures, your friends, how you type. It is beginning to feel like your soul really can be in a photograph, and corporations desperately want it. And it feels incredibly shitty that the only way to stop a person from exploiting my likeness is to agree to allow the platform itself to exploit my likeness.

[thechanelmuse]

My Book Review

"If you're not paying for it, you're the product."

Your Face Belongs to Us is a terrifying yet interesting journey through the world of invasive surveillance, artificial intelligence, facial recognition, and biometric data collection by way of the birth and rise of a company called Clearview AI — a software used by law enforcement and government agencies in the US yet banned in various countries. A database of 75 million images per day.

The writing is easy flowing investigative journalism, but the information (as expected) is...chile 👀. Lawsuits and court cases to boot. This book reads somewhat like one of my favorite books of all-time, How Music Got Free by Stephen Witt (my review's here), in which it delves into the history from birth to present while learning the key players along the way.

Here's an excerpt that keeps you seated for this wild ride:

“I was in a hotel room in Switzerland, six months pregnant, when I got the email. It was the end of a long day and I was tired but the email gave me a jolt. My source had unearthed a legal memo marked “Privileged & Confidential” in which a lawyer for Clearview had said that the company had scraped billions of photos from the public web, including social media sites such as Facebook, Instagram, and LinkedIn, to create a revolutionary app. Give Clearview a photo of a random person on the street, and it would spit back all the places on the internet where it had spotted their face, potentially revealing not just their name but other personal details about their life. The company was selling this superpower to police departments around the country but trying to keep its existence a secret.”

[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.

[realdataapiservices]

AI-driven drug discovery. Smart insurance platforms. Real-time public health dashboards.

In 2025, healthtech innovators share a powerful strategy: leveraging web-scraped data to stay competitive.

From monitoring global clinical trials to analyzing patient sentiment, this LinkedIn Pulse article explores how leading companies use external data for smarter decisions. 📩 Contact us: sales@realdataapi.com

[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/

[ishitabadlani]

Outbound Lead Generation in 2025: Why Email Marketing Still Reigns Supreme in B2B

In the ever-evolving world of B2B marketing, where new tools and platforms emerge every quarter, one thing remains remarkably consistent — the effectiveness of email in B2B lead generation.

Yes, it’s 2025. We have AI bots on LinkedIn, sales automation tools with behavior-based workflows, and CRMs smarter than some sales reps. And yet, email marketing continues to be one of the most reliable outbound lead generation strategies for businesses looking to start meaningful conversations at scale.

Why? Because email strikes a balance that very few channels can achieve: it’s personal, direct, measurable, and cost-effective — all while giving you complete control over your message and audience.

The New Face of Outbound: It’s Not Just Cold Anymore

Outbound lead generation has changed dramatically. It’s no longer about blasting the same generic pitch to thousands of emails scraped off some outdated database. The modern B2B buyer expects personalization, relevance, and timing — even from a cold outreach.

That’s where outbound lead generation strategies now blend data, content, and context. You’re not just sending an email; you’re sending the right message, to the right person, at the right stage in their buying journey. The foundation of this approach? Smart, intentional email campaigns.

Email Marketing for B2B Lead Generation: Still a Workhorse, Now Smarter

At its core, email marketing in B2B lead generation is about initiating conversations with potential buyers who may not yet know they need you. What makes it work isn’t just copywriting — it’s research, targeting, segmentation, and sequence design.

Today, B2B companies use a mix of human insight and AI-driven tools to create email campaigns that are:

Hyper-personalized based on firmographic and behavioral data

Value-driven, offering insights, resources, or a compelling POV

Timed and sequenced, not just one-shot messages

A/B tested and iterated, improving with every send

Whether you’re a SaaS startup, an enterprise software firm, or a B2B agency, email offers a direct route to decision-makers. When executed right, it’s not just outreach — it’s relationship-building at scale.

How Smart Outbound Campaigns Are Built Today

Modern outbound lead generation strategies are no longer about volume first — they’re about relevance first. Quality, not quantity, defines high-performing outbound engines.

A typical high-converting email campaign today includes:

A clean, targeted lead list segmented by industry, size, or use-case

A value-packed sequence of 4–5 emails (not just a “Hey, just checking in” series)

A clear, low-friction CTA (no hard selling upfront)

Social proof, case study links, or tailored insights woven in

Integrated follow-ups via LinkedIn, cold calling, or retargeting ads

The idea is to warm the prospect through subtle but strategic repetition. Great outbound campaigns treat prospects not as leads, but as humans — offering help, insights, and relevance before asking for a meeting.

Why Email Outperforms Most Other Outbound Channels

While LinkedIn DMs, ads, and calls all have their place, email remains unmatched for certain reasons:

It scales well: One rep can run multiple campaigns to hundreds of accounts.

It’s asynchronous: Prospects can respond when it suits them.

It’s trackable: Open rates, click-throughs, reply rates — everything is measurable.

It allows depth: You can pack more nuance into email than a 200-character message.

But most importantly, email doesn’t rely on a third-party algorithm. It gives you ownership of the conversation — and in 2025, with increasing noise across channels, that kind of control is gold.

Building Long-Term Pipelines, Not Just Quick Wins

One of the biggest misconceptions in B2B email marketing for lead generation is that it’s only useful for short-term pipeline goals. In reality, email plays an equally crucial role in long-term brand visibility and buyer trust.

Not every prospect will reply today. But if your email delivers value and relevance, they’ll remember you when the need arises. In many ways, outbound done right becomes an inbound catalyst.

That’s the power of intentional email marketing — it’s not interruption, it’s an invitation.

Final Thoughts

As outbound lead generation becomes more intelligent and relationship-driven, email continues to be the beating heart of the strategy. It's not just about sending messages; it's about starting conversations with the right people in the right way.

If your B2B team is looking to grow its pipeline in 2025, revisiting your email marketing b2b lead generation strategy isn’t optional — it’s essential.

Because in a noisy digital world, the inbox is still one of the quietest — and most powerful — places to earn someone’s attention.

[datareclaimer]

Unlocking Sales Leads: How LinkedIn Data Extraction Tool Works with Sales Navigator Scraper – Powered by Data Reclaimer

In the digital era, sales success is no longer about cold calls and guesswork — it’s about smart data, targeted outreach, and precision prospecting. That’s where LinkedIn Sales Navigator and modern scraping tools like Sales Navigator Scraper come into play. Designed to enhance B2B lead generation, these tools extract actionable business intelligence directly from the world’s largest professional network. But how does a LinkedIn data extraction tool work? And what makes tools like those offered by Data Reclaimer a game-changer for sales professionals?

Let’s explore.

What Is LinkedIn Sales Navigator?

LinkedIn Sales Navigator is a premium tool provided by LinkedIn, tailored for sales teams and B2B marketers. It offers advanced search filters, lead recommendations, CRM integrations, and insights into buyer intent — all aimed at helping users connect with the right decision-makers.

However, manually collecting and organizing data from Sales Navigator can be time-consuming and inefficient. This is where data extraction tools or Sales Navigator scrapers come in, automating the process of pulling valuable data from LinkedIn profiles, company pages, and lead lists.

How LinkedIn Data Extraction Tools Work

When we ask "How LinkedIn Data Extraction Tool Works?", the answer lies in a combination of intelligent web scraping, automation frameworks, and ethical data handling practices.

1. User Authentication & Input

First, the user logs into their LinkedIn account — typically through Sales Navigator — and defines search parameters such as industry, location, job title, company size, or keywords.

2. Automated Crawling

Once parameters are set, the tool initiates an automated crawl through the search results. Using browser automation (often through headless browsers like Puppeteer or Selenium), it navigates LinkedIn just like a human would — scrolling, clicking, and viewing profiles.

3. Data Extraction

The scraper extracts public or semi-public information such as:

Full Name

Job Title

Company Name

Location

LinkedIn Profile URL

Contact info (if available)

Industry and seniority level

Connection level (1st, 2nd, 3rd)

4. Data Structuring

After extraction, the data is parsed and organized into a clean format — usually a CSV or JSON file — for easy import into CRMs like HubSpot, Salesforce, or marketing automation platforms.

5. Export and Integration

Finally, users can download the dataset or directly sync it to their sales stack, ready for outreach, segmentation, or analysis.

Why Use Sales Navigator Scraper by Data Reclaimer?

Data Reclaimer offers a cutting-edge Sales Navigator Scraper designed to be user-friendly, accurate, and compliant with best practices. Here’s why it stands out:

✅ High Accuracy & Speed

Unlike basic scrapers that miss key data points or get blocked, Data Reclaimer’s tool uses advanced logic to mimic human interaction, ensuring minimal detection and high-quality results.

✅ Custom Filters & Targeting

Pull data based on highly specific LinkedIn Sales Navigator filters such as seniority, department, activity, and more — allowing for razor-sharp targeting.

✅ Real-Time Data Updates

Stay ahead of outdated contact lists. The tool extracts real-time profile data, ensuring your leads are current and relevant.

✅ GDPR-Aware Extraction

Data Reclaimer ensures its scraping tools align with ethical and legal standards, including GDPR compliance by focusing only on publicly accessible data.

✅ Scalable for Agencies and Teams

Whether you're a solo marketer or part of a large agency, the Sales Navigator Scraper supports bulk extraction for large-scale lead generation.

Use Cases for LinkedIn Data Extraction Tools

From recruiters and B2B marketers to SDRs and startup founders, many professionals benefit from LinkedIn data scraping:

Lead Generation: Build targeted B2B lead lists quickly without manual searching.

Competitor Research: Analyze hiring trends, employee roles, or client networks.

Market Segmentation: Understand demographics within an industry or region.

Recruitment: Identify potential candidates based on roles and skills.

Corporate Intelligence: Map organizational charts and influencer hierarchies.

Ethical Considerations & Best Practices

Using a LinkedIn data extraction tool should always follow responsible use practices. Data Reclaimer advises:

Avoid scraping excessive data that may violate LinkedIn's terms of use.

Only extract information that is publicly available.

Use scraped data for B2B networking and not for spam or harassment.

Clearly disclose how data will be used when reaching out to prospects.

Respect for data privacy not only ensures compliance but also builds trust with your leads.

Tips for Maximizing Sales Navigator Scraper Efficiency

Refine Your Filters: The more specific your Sales Navigator search, the cleaner and more targeted your data output.

Use Proxy Rotation: To avoid IP blocks, consider rotating proxies or using a tool that automates this for you.

Limit Daily Requests: Over-scraping can trigger LinkedIn’s anti-bot systems. Stick to daily limits suggested by your scraper provider.

Enrich and Verify Data: Use email verification tools or enrichment platforms to validate and enhance extracted data.

Integrate with Your CRM: Automate lead nurturing by syncing extracted leads into your CRM system for immediate follow-up.

Conclusion: Sales Prospecting at Scale, the Smart Way

In today’s hyper-competitive B2B landscape, the ability to access high-quality, targeted leads can set you apart from the competition. Understanding how LinkedIn data extraction tools work, especially through powerful solutions like the Sales Navigator Scraper by Data Reclaimer, empowers sales teams to focus on closing deals instead of chasing contact information.

From startups to enterprise sales departments and B2B agencies, tools like these are not just about automation — they’re about intelligence, efficiency, and scalability.

[prospect-list-building]

🔌🔧 Electrical & Plumbing Lead Generation Built on Verified Information — Not Guesswork

In the trades industry, every call counts. But too often, electricians and plumbers waste valuable time on unqualified leads or outdated contact lists that go nowhere.

That’s why I offer information-based lead generation services — designed to deliver high-converting customer data that’s accurate, relevant, and ready for action.

This isn’t about scraping random names or buying recycled lists. It’s about collecting, verifying, and delivering real-time data that connects you directly with potential customers actively needing your services.

Here’s how I help electrical and plumbing businesses grow:

✅ Geo-targeted data — leads filtered by city, zip code, or radius ✅ Job intent — from emergency repairs to full installations ✅ Property segmentation — residential, commercial, or industrial ✅ Contact information — verified names, emails, phone numbers ✅ Manual research methods using tools like LinkedIn, public records, and databases ✅ Fully customizable fields to match your campaign goals ✅ Delivered in clean, CRM-ready formats for easy outreach

Whether you're rewiring systems, fixing power issues, installing water heaters, or handling urgent pipe repairs, I help you reach customers who are ready to hire.

No ads. No cold calling. Just data-driven growth for your trade business. Ready to scale your pipeline with smart, verified leads?

📩 DM me today or visit [https://tinyurl.com/yyavdu5] to get started. 📧 prospectliststore@gmail.com 📞 +1 747-228-3951

ElectricianLeads #PlumbingLeads #InformationBasedLeads #HomeServiceMarketing #LeadGeneration #VerifiedLeads #TradePros #CRMReady #ServiceBusinessGrowth

[educationmore]

Unlock SEO & Automation with Python

In today’s fast-paced digital world, marketers are under constant pressure to deliver faster results, better insights, and smarter strategies. With automation becoming a cornerstone of digital marketing, Python has emerged as one of the most powerful tools for marketers who want to stay ahead of the curve.

Whether you’re tracking SEO performance, automating repetitive tasks, or analyzing large datasets, Python offers unmatched flexibility and speed. If you're still relying solely on traditional marketing platforms, it's time to step up — because Python isn't just for developers anymore.

Why Python Is a Game-Changer for Digital Marketers

Python’s growing popularity lies in its simplicity and versatility. It's easy to learn, open-source, and supports countless libraries that cater directly to marketing needs. From scraping websites for keyword data to automating Google Analytics reports, Python allows marketers to save time and make data-driven decisions faster than ever.

One key benefit is how Python handles SEO tasks. Imagine being able to monitor thousands of keywords, track competitors, and audit websites in minutes — all without manually clicking through endless tools. Libraries like BeautifulSoup, Scrapy, and Pandas allow marketers to extract, clean, and analyze SEO data at scale. This makes it easier to identify opportunities, fix issues, and outrank competitors efficiently.

Automating the Routine, Empowering the Creative

Repetitive tasks eat into a marketer's most valuable resource: time. Python helps eliminate the grunt work. Need to schedule social media posts, generate performance reports, or pull ad data across platforms? With just a few lines of code, Python can automate these tasks while you focus on creativity and strategy.

In Dehradun, a growing hub for tech and education, professionals are recognizing this trend. Enrolling in a Python Course in Dehradun not only boosts your marketing skill set but also opens up new career opportunities in analytics, SEO, and marketing automation. Local training programs often offer real-world marketing projects to ensure you gain hands-on experience with tools like Jupyter, APIs, and web scrapers — critical assets in the digital marketing toolkit.

Real-World Marketing Use Cases

Python's role in marketing isn’t just theoretical — it’s practical. Here are a few real-world scenarios where marketers are already using

Python to their advantage:

Content Optimization: Automate keyword research and content gap analysis to improve your blog and web copy.

Email Campaign Analysis: Analyze open rates, click-throughs, and conversions to fine-tune your email strategies.

Ad Spend Optimization: Pull and compare performance data from Facebook Ads, Google Ads, and LinkedIn to make smarter budget decisions.

Social Listening: Monitor brand mentions or trends across Twitter and Reddit to stay responsive and relevant.

With so many uses, Python is quickly becoming the Swiss army knife for marketers. You don’t need to become a software engineer — even a basic understanding can dramatically improve your workflow.

Getting Started with Python

Whether you're a fresh graduate or a seasoned marketer, investing in the right training can fast-track your career. A quality Python training in Dehradun will teach you how to automate marketing workflows, handle SEO analytics, and visualize campaign performance — all with practical, industry-relevant projects.

Look for courses that include modules on digital marketing integration, data handling, and tool-based assignments. These elements ensure you're not just learning syntax but applying it to real marketing scenarios. With Dehradun's increasing focus on tech education, it's a great place to gain this in-demand skill.

Python is no longer optional for forward-thinking marketers. As SEO becomes more data-driven and automation more essential, mastering Python gives you a clear edge. It simplifies complexity, drives efficiency, and helps you make smarter, faster decisions.

Now is the perfect time to upskill. Whether you're optimizing search rankings or building powerful marketing dashboards, Python is your key to unlocking smarter marketing in 2025 and beyond.

Python vs Ruby, What is the Difference? - Pros & Cons

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How to Scrape Data from LinkedIn Using a Profile Scraper

The ability to scrape data from LinkedIn is a powerful resource for professionals. Whether a company is looking for new clients, gathering competitor insights, or building a recruitment pipeline, LinkedIn’s vast network makes it an invaluable resource.

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The Hidden Growth Gaps in Most Lead Generation Agencies (and How to Fix Them Fast)

"You’re investing time, budget, and tech into lead generation — but somehow, the pipeline is dry, conversion rates are low, and your clients are restless. Sound familiar?"

If you’re running or working with a Lead Generation Agency, chances are you’ve faced the frustration of seeing high volume but low-quality leads. Or worse — leads that never convert. It’s not that you’re doing anything wrong. The problem is subtler: there are hidden bottlenecks, outdated tactics, and misaligned strategies that quietly drain performance.

In this blog, we’re going to break down exactly where most lead generation agencies go wrong, how to identify those invisible gaps, and—most importantly—what to do about them. Whether you’re scaling, struggling, or just ready to sharpen your edge, this post will walk you through clear, actionable strategies to optimize every stage of your lead generation engine.

Let’s uncover the fixes that actually move the needle.

1. Misaligned ICPs: Why Your Ideal Customer Profile Isn’t So Ideal Anymore

Keyword used: Lead Generation Agency

When agencies rely on outdated or vague Ideal Customer Profiles (ICPs), they waste resources targeting the wrong audiences. In today’s market, buyer behaviors evolve rapidly. What worked six months ago may not cut it today.

🧠 Common Signs of ICP Misalignment:

High lead volume but low conversion rate

Reps complaining that leads “aren’t ready to buy”

MQLs turning cold in the sales funnel

✅ Fix It:

Interview existing high-LTV customers and extract current traits

Track intent signals (content downloaded, webinar views, etc.) to refine your ICP

Leverage LinkedIn insights or tools like Clearbit to adjust based on real-time firmographic and technographic data

🛠️ Example: One B2B SaaS-focused Lead Generation Agency revised their ICP after noticing 70% of leads came from outdated industries. By narrowing their focus to fintech startups with Series A funding, they tripled conversion rates in 90 days.

2. The Cold Email Graveyard: Outdated Outbound Strategies That Kill Trust

If your outbound strategy still relies on spray-and-pray cold emails, you’re already behind. Email inboxes are smarter. Buyers are savvier. Algorithms punish irrelevant outreach.

Keyword used: Lead Generation Agency

📉 What's Going Wrong:

Using scraped lists with generic messages

Over-automated sequences that scream "bot"

Ignoring new data privacy regulations like GDPR/CPRA

✅ Fix It:

Switch to intent-based outbound: Use Bombora, ZoomInfo Intent, or LinkedIn to find prospects showing buying signals

Personalize 20% of each email with context that matters (recent funding, job change, etc.)

Use multichannel sequencing (email, LinkedIn, video DM)

Case Study Insight: A growth-stage Lead Generation Agency increased reply rates by 45% by integrating Loom video DMs into their outbound campaigns for high-ticket offers.

3. MQL Madness: When Marketing and Sales Speak Different Languages

A major issue we see in many Lead Generation Agencies is the disconnect between marketing-qualified leads (MQLs) and what sales actually needs. This misalignment causes finger-pointing, lead waste, and frustration across teams.

Keyword used: Lead Generation Agency

Red Flags:

Sales reps ignoring MQLs or complaining they’re unqualified

No feedback loop between sales and marketing

Leads passed to sales without proper nurturing

✅ Fix It:

Define lead scoring with the sales team, not in a silo

Introduce an SLA (Service Level Agreement) outlining lead handoff expectations

Build a pre-sales team to vet and warm up leads before they reach AE’s inbox

📈 Benefit: One healthcare-focused Lead Generation Agency saw their SQL-to-opportunity rate jump from 22% to 39% by implementing a pre-sales qualification layer.

4. Funnel Blind Spots: Failing to Optimize the Middle of the Funnel

Many agencies focus heavily on top-of-funnel (TOFU) acquisition, then wonder why leads fall off a cliff mid-way. The truth is, middle-of-funnel (MOFU) is where leads decide whether they trust you enough to continue the journey.

Keyword used: Lead Generation Agency

What’s Often Overlooked:

Educational content to build trust

Automated but personalized nurture sequences

Smart retargeting based on funnel behavior

✅ Fix It:

Create segmented email workflows for each persona and stage

Use retargeting ads (via Meta, Google, or LinkedIn) tied to mid-funnel content like case studies or comparison guides

Insert micro-conversions like quizzes, assessments, or tools (e.g., ROI calculator)

Example: One Lead Generation Agency that worked with legal tech clients built a “Legal Tech ROI Calculator” for MOFU leads—conversions increased by 60%.

5. The Attribution Black Hole: Not Knowing What’s Actually Working

If you can’t trace back which lead sources are driving revenue (not just leads), your decisions are just guesses. Many agencies still rely on basic UTM tracking or platform-native reporting.

Keyword used: Lead Generation Agency

🔍 The Real Problem:

Attribution is siloed across tools (CRM, ads, email, etc.)

Over-reliance on first-touch or last-touch models

No cohesive dashboard showing the full journey

✅ Fix It:

Implement a multi-touch attribution model with tools like HubSpot, Dreamdata, or Triple Whale

Use unique tracking links for every channel and asset

Align KPIs with client goals — not vanity metrics

Pro Insight: A D2C-focused Lead Generation Agency adopted multi-touch attribution and discovered 40% of their conversions came from podcasts they had never considered important.

Wrapping Up: Transforming Lead Volume into Revenue Growth

It’s not just about getting more leads. It’s about getting the right leads, nurturing them effectively, and aligning your strategy with how people actually buy today.

Let’s recap the key shifts:

Revisit and refine your ICP quarterly — not yearly

Make outbound smarter, more human, and more relevant

Align marketing and sales KPIs and lead definitions

Prioritize MOFU nurturing just as much as TOFU

Track revenue attribution, not just lead metrics

Next Step:

Try implementing one of these changes this week — maybe start with redefining your ICP or tweaking your outbound with personalized video.

And if you’re looking for help optimizing your own Lead Generation Agency, drop a comment or subscribe to our newsletter for expert tips every week.

[amandajohn]

How to Generate Leads Using Prospect Wiki (and Why It’s Free Gold!)

In today’s hyper-competitive world of business development and sales, finding the right prospects can feel like mining for gold — labor-intensive, high-risk, and often frustrating. But what if I told you there's a tool that makes the digging effortless, and it’s free?

Prospect Wiki is an often-overlooked lead generation resource that organizes publicly available lists of companies, startups, influencers, and decision-makers across industries. It's a living database curated by communities of marketers, sales pros, and tech enthusiasts who believe that valuable information should be accessible to everyone. In other words, it’s free gold if you know how to use it.

Why Prospect Wiki is a Game-Changer

Unlike traditional lead generation tools that lock information behind expensive paywalls, Prospect Wiki offers open access to hundreds of lead lists: investors, fast-growing startups, Fortune 500 decision-makers, SaaS tool users—you name it. It's crowdsourced, constantly updated, and absolutely free.

This means startups, solo founders, and small teams who can’t afford premium sales tools now have a fighting chance to find quality leads without burning cash.

How to Generate Leads Using Prospect Wiki

1. Start with Your Ideal Customer Profile (ICP) Before you even open Prospect Wiki, define exactly who you want to reach. Is it CTOs in SaaS startups? Small business owners in the Midwest? Your ICP will guide your search.

2. Use Search Filters and Lists Strategically Prospect Wiki often categorizes leads by industry, geography, company size, and funding stage. Start by browsing the category that matches your ICP. Pro tip: prioritize the most recently updated lists for fresher, more responsive leads.

3. Build a Focused Prospecting List Don’t just scrape every contact you see. Quality matters more than quantity. Add relevant details like LinkedIn profiles, email addresses, and company notes. Many lists also include bonus info like tech stacks or recent funding rounds—perfect conversation starters.

4. Personalize Your Outreach Because Prospect Wiki gives you insights beyond just names and emails, you can craft personalized, hyper-relevant messages. Refer to a company's latest funding round, new product launch, or specific technology they use to stand out from generic cold emails.

5. Keep It Ethical Since Prospect Wiki data is publicly gathered, always ensure your outreach respects privacy laws like GDPR. Double-check that you’re contacting work emails, not personal ones, and offer easy opt-out options.

Conclusion

Prospect Wiki isn’t just another database. It’s a democratizing force in lead generation, giving scrappy entrepreneurs and nimble teams a chance to compete against big players with big budgets. It removes the biggest barrier to entry—cost—so you can focus your energy on what matters: building real, human connections with your prospects.

So next time you're thinking about investing in expensive lead software, remember: there’s free gold waiting for you. All you need is a good pickaxe—and Prospect Wiki. REGISTER HERE

[mysoulglitter]

How to Leverage Python Skills to Launch a Successful Freelance Career

The demand for Python developers continues to grow in 2025, opening exciting opportunities—not just in full-time employment, but in freelancing as well. Thanks to Python’s versatility, freelancers can offer services across multiple industries, from web development and data analysis to automation and AI.

Whether you're looking to supplement your income or transition into full-time freelancing, here's how you can use Python to build a thriving freelance career.

Master the Core Concepts

Before stepping into the freelance market, it's essential to build a solid foundation in Python. Make sure you're comfortable with:

Data types and structures (lists, dictionaries, sets)

Control flow (loops, conditionals)

Functions and modules

Object-oriented programming

File handling and error management

Once you’ve nailed the basics, move on to specialized areas based on your target niche.

Choose a Niche That Suits You

Python is used in many domains, but as a freelancer, it helps to specialize. Some profitable freelance niches include:

Web Development: Use frameworks like Django or Flask to build custom websites and web apps.

Data Analysis: Help clients make data-driven decisions using tools like Pandas and Matplotlib.

Automation Scripts: Streamline repetitive client tasks by developing efficient Python automation tools.

Web Scraping: Use tools such as BeautifulSoup or Scrapy to extract data from websites quickly and effectively.

Machine Learning: Offer insights, models, or prototypes using Scikit-learn or TensorFlow.

Choosing a niche allows you to brand yourself as an expert rather than a generalist, which can attract higher-paying clients.

Build a Portfolio

A portfolio is your online resume and a powerful trust builder. Create a personal website or use GitHub to showcase projects that demonstrate your expertise. Some project ideas include:

A simple blog built with Flask

A script that scrapes data and exports it to Excel

A dashboard that visualizes data from a CSV file

An automated email responder

The key is to show clients that you can solve real-world problems using Python.

Create Profiles on Freelance Platforms

Once your portfolio is ready, the next step is to start reaching out to potential clients. Create profiles on platforms like:

Upwork

Freelancer

Fiverr

Toptal

PeoplePerHour

When setting up your profile, write a compelling bio, list your skills, and upload samples from your portfolio. Use keywords clients might search for, like "Python automation," "Django developer," or "data analyst."

Start Small and Build Your Reputation

Landing your first few clients as a new freelancer can take some patience and persistence. Consider offering competitive rates or working on smaller projects initially to gain reviews and build credibility. Positive feedback and completed jobs on your profile will help you attract better clients over time. Deliver quality work, communicate clearly, and meet deadlines—these soft skills matter as much as your technical expertise.

Upskill with Online Resources

The tech landscape changes fast, and staying updated is crucial.Set aside time to explore new tools, frameworks, and libraries, ensuring you stay up-to-date and continuously grow your skill set. Many freelancers also benefit from taking structured courses that help them level up efficiently. If you're serious about freelancing as a Python developer, enrolling in a comprehensive python training course in Pune can help solidify your knowledge. A trusted python training institute in Pune will offer hands-on projects, expert mentorship, and practical experience that align with the demands of the freelance market.

Market Yourself Actively

Don’t rely solely on freelance platforms. Expand your reach by: Sharing coding tips or projects on LinkedIn and Twitter

Writing blog posts about your Python solutions

Networking in communities like Reddit, Stack Overflow, or Discord

Attend local freelancing or tech meetups in your area to network and connect with like-minded professionals. The more visible you are, the more likely clients will find you organically.

Set Your Rates Wisely

Pricing is a common challenge for freelancers. Begin by exploring the rates others in your field are offering to get a sense of standard pricing. Factor in your skill level, project complexity, and market demand. You can charge hourly, per project, or even offer retainer packages for ongoing work. As your skills and client list grow, don’t hesitate to increase your rates.

Stay Organized and Professional

Treat freelancing like a business.Utilize productivity tools to streamline time tracking, invoicing, and client communication.Apps like Trello, Notion, and Toggl can help you stay organized. Create professional invoices, use contracts, and maintain clear communication with clients to build long-term relationships.

Building a freelance career with Python is not only possible—it’s a smart move in today’s tech-driven world. With the right skills, mindset, and marketing strategy, you can carve out a successful career that offers flexibility, autonomy, and unlimited growth potential.

Start by mastering the language, building your portfolio, and gaining real-world experience. Whether you learn through self-study or a structured path like a python training institute in Pune, your efforts today can lead to a rewarding freelance future.

[deltasaas]

Lead Generation Software: Your Pipeline Powerhouse

Picture this: a steady stream of potential customers flowing into your business, their contact details neatly captured, ready for your team to turn into sales—lead generation software makes this dream a reality. These tools are the engines that fuel your sales funnel, automating the hunt for prospects, nurturing them, and handing you the keys to growth. Whether you’re a small business chasing your first big win or a seasoned pro scaling new heights, lead generation software is your shortcut to finding the right people at the right time. What makes it a game-changer, and how can it turbocharge your efforts? Let’s dive in.

What is Lead Generation Software?

Lead generation software is a set of digital tools designed to identify, attract, and capture potential customers—aka leads—for your business. It’s the tech that scours the web, social platforms, or your own site to snag contact info, then organizes it into a pipeline you can work with—think email finders, form builders, and CRM integrations in one. Beyond just gathering names, it’s about qualifying prospects and teeing them up for conversion.

Today, these platforms tap artificial intelligence (AI), real-time analytics, and vast databases to serve solo entrepreneurs, marketing teams, and B2B sales crews, making lead gen faster, smarter, and more targeted than ever.

Why Lead Generation Software Matters

Leads are the lifeblood of sales, but finding them manually is like panning for gold with a teaspoon—slow and spotty. Cold calls miss, emails bounce, and time ticks away. Lead generation software matters because it:

Speeds the Hunt: Find prospects in minutes, not months.

Boosts Quality: Target folks who actually want what you’ve got.

Saves Effort: Automate outreach or form fills—less grunt work.

Grows Revenue: Fill your funnel with leads ready to buy.

X posts often hype tools like Apollo for its lead database, proving its pull in the sales hustle.

Key Features of Lead Generation Software

Top lead generation software packs a versatile toolkit:

Lead Capture: Build forms, pop-ups, or chatbots to grab info.

Prospect Finder: Scrape emails or LinkedIn data with precision.

Scoring: Rank leads by interest or fit with AI or rules.

Automation: Schedule emails or follow-ups hands-free.

Analytics: Track what works—clicks, opens, conversions.

Integrations: Sync with CRMs, email, or social platforms.

These features turn a scattershot approach into a laser-focused strategy.

Top Benefits for Users

Lead generation software delivers standout wins:

Efficiency: Cut prospecting time by half, per user tales.

Precision: Hit your ideal customer profile dead-on.

Scale: Go from 10 leads to 1,000 without breaking a sweat.

Insight: Learn what converts and double down.

A startup using OptinMonster might snag email signups galore, while a B2B rep on Leadfeeder turns website visitors into hot leads.

Popular Lead Generation Software

The market buzzes with top picks:

HubSpot: Free CRM with lead forms and email tools.

Apollo: B2B goldmine for emails and outreach.

OptinMonster: Popup wizard for website conversions.

Leadfeeder: Tracks site visitors into actionable leads.

Pipedrive: Pipeline CRM with lead gen flair.

How to Choose the Right Lead Generation Software

Picking your tool takes a plan:

Focus: Inbound (OptinMonster) or outbound (Apollo)?

Audience: B2C (HubSpot) or B2B (Leadfeeder)?

Ease: Test it—clunky kills momentum.

Integrations: Link with your CRM or marketing stack.

Cost: Free (HubSpot) vs. paid (Apollo at $49/month)?

The Future of Lead Generation Software

The future is electric. AI will predict who’s ready to buy—think spotting intent before they click. Voice tools might capture leads via smart speakers, while blockchain could verify contact data. Real-time tracking will deepen, showing behavior as it happens, and privacy laws will push ethical sourcing. The trend is toward sharper, faster, and more compliant lead gen.

Challenges to Watch For

There are quirks. Free tiers like HubSpot’s might lack depth—upgrade for power. Learning curves—Apollo’s filters take time—can stall newbies. Costs climb; Leadfeeder’s premium hits $199/month. Bad data haunts cheap tools—vet accuracy. Over-automation can feel spammy—keep it personal. Security’s key—ensure GDPR or CCPA compliance to dodge fines.

Real-World Impact

Solos: A freelancer on Apollo books gigs with targeted outreach.

Teams: A sales squad with Pipedrive closes deals 30% faster.

Shops: An ecommerce site on OptinMonster doubles its email list.

Conclusion

Lead generation software is your fast track to a full pipeline—finding prospects, warming them up, and setting you up to win. It’s not just about numbers; it’s about connecting with the right people at the right moment. Whether you’re building a list or sealing the deal, the right tool can make it happen. Explore the options, pick your powerhouse, and start filling that funnel today.

Frequently asked questions

What is lead generation software? It’s a digital toolset to find, capture, and manage potential customers, automating the process from discovery to conversion.

Who uses lead generation software? Entrepreneurs, marketers, sales reps—anyone needing to grow a customer base, from startups to big firms.

How does it improve sales? It speeds lead discovery, targets better prospects, and tracks performance, fueling more wins.

Is it secure? Top tools encrypt data and follow privacy laws—check compliance and audits.

What’s the difference between lead generation and CRM software? Lead gen finds prospects (Apollo); CRM manages them (Salesforce)—many blend both.

How much does lead generation software cost? Ranges from free (HubSpot CRM) to $20-$200/month (OptinMonster, Leadfeeder), based on scale and features.

Can it integrate with other tools? Most sync with CRMs, email, or social—confirm what fits your stack.

How long until I see benefits? Basic leads hit fast; big gains—like sales spikes—grow with strategy and volume.