#scrape data from website

[arvale-artist]

Just throwing this out here, but if anyone wants to talk to me about Arvale, feel free to do so!

I also have my askbox open if you just have some questions. About the games in general or about the lore. I'll happily indulge! Maybe even accompanied by art if I feel like it, haha. You can even ask anonymously, if you're feeling extra shy.

[3idatascraping]

Extracting Shopify product data efficiently can give your business a competitive edge. In just a few minutes, you can gather essential information such as product names, prices, descriptions, and inventory levels. Start by using web scraping tools like Python with libraries such as BeautifulSoup or Scrapy, which allow you to automate the data collection process. Alternatively, consider using user-friendly no-code platforms that simplify the extraction without programming knowledge. This valuable data can help inform pricing strategies, product listings, and inventory management, ultimately driving your eCommerce success.

[webscreen-scraping]

You can get a huge number of products on Walmart. It uses big data analytics for deciding its planning and strategies. Things like the Free-shipping day approach, are sult of data scraping as well as big data analytics, etc. against Amazon Prime have worked very well for Walmart. Getting the product features is a hard job to do and Walmart is doing wonderfully well in that. At Web Screen Scraping, we scrape data from Walmart for managing pricing practices using Walmart’s pricing scraping by our Walmart data scraper.

[datascraping001]

Google Search Results Data Scraping

Google Search Results Data Scraping

Harness the Power of Information with Google Search Results Data Scraping Services by DataScrapingServices.com. In the digital age, information is king. For businesses, researchers, and marketing professionals, the ability to access and analyze data from Google search results can be a game-changer. However, manually sifting through search results to gather relevant data is not only time-consuming but also inefficient. DataScrapingServices.com offers cutting-edge Google Search Results Data Scraping services, enabling you to efficiently extract valuable information and transform it into actionable insights.

The vast amount of information available through Google search results can provide invaluable insights into market trends, competitor activities, customer behavior, and more. Whether you need data for SEO analysis, market research, or competitive intelligence, DataScrapingServices.com offers comprehensive data scraping services tailored to meet your specific needs. Our advanced scraping technology ensures you get accurate and up-to-date data, helping you stay ahead in your industry.

List of Data Fields

Our Google Search Results Data Scraping services can extract a wide range of data fields, ensuring you have all the information you need:

-Business Name: The name of the business or entity featured in the search result.

- URL: The web address of the search result.

- Website: The primary website of the business or entity.

- Phone Number: Contact phone number of the business.

- Email Address: Contact email address of the business.

 - Physical Address: The street address, city, state, and ZIP code of the business.

- Business Hours: Business operating hours

- Ratings and Reviews: Customer ratings and reviews for the business.

- Google Maps Link: Link to the business’s location on Google Maps.

- Social Media Profiles: LinkedIn, Twitter, Facebook

These data fields provide a comprehensive overview of the information available from Google search results, enabling businesses to gain valuable insights and make informed decisions.

Benefits of Google Search Results Data Scraping

1. Enhanced SEO Strategy

Understanding how your website ranks for specific keywords and phrases is crucial for effective SEO. Our data scraping services provide detailed insights into your current rankings, allowing you to identify opportunities for optimization and stay ahead of your competitors.

2. Competitive Analysis

Track your competitors’ online presence and strategies by analyzing their rankings, backlinks, and domain authority. This information helps you understand their strengths and weaknesses, enabling you to adjust your strategies accordingly.

3. Market Research

Access to comprehensive search result data allows you to identify trends, preferences, and behavior patterns in your target market. This information is invaluable for product development, marketing campaigns, and business strategy planning.

4. Content Development

By analyzing top-performing content in search results, you can gain insights into what types of content resonate with your audience. This helps you create more effective and engaging content that drives traffic and conversions.

5. Efficiency and Accuracy

Our automated scraping services ensure you get accurate and up-to-date data quickly, saving you time and resources.

Best Google Data Scraping Services

Scraping Google Business Reviews

Extract Restaurant Data From Google Maps

Google My Business Data Scraping

Google Shopping Products Scraping

Google News Extraction Services

Scrape Data From Google Maps

Google News Headline Extraction   

Google Maps Data Scraping Services

Google Map Businesses Data Scraping

Google Business Reviews Extraction

Best Google Search Results Data Scraping Services in USA

Dallas, Portland, Los Angeles, Virginia Beach, Fort Wichita, Nashville, Long Beach, Raleigh, Boston, Austin, San Antonio, Philadelphia, Indianapolis, Orlando, San Diego, Houston, Worth, Jacksonville, New Orleans, Columbus, Kansas City, Sacramento, San Francisco, Omaha, Honolulu, Washington, Colorado, Chicago, Arlington, Denver, El Paso, Miami, Louisville, Albuquerque, Tulsa, Springs, Bakersfield, Milwaukee, Memphis, Oklahoma City, Atlanta, Seattle, Las Vegas, San Jose, Tucson and New York.

Conclusion

In today’s data-driven world, having access to detailed and accurate information from Google search results can give your business a significant edge. DataScrapingServices.com offers professional Google Search Results Data Scraping services designed to meet your unique needs. Whether you’re looking to enhance your SEO strategy, conduct market research, or gain competitive intelligence, our services provide the comprehensive data you need to succeed. Contact us at info@datascrapingservices.com today to learn how our data scraping solutions can transform your business strategy and drive growth.

Website: Datascrapingservices.com

Email: info@datascrapingservices.com

[iwebscrapingblogs]

Real Estate Web Scraping | Scrape Data From Real Estate Website

In the digital age, data is king, and nowhere is this more evident than in the real estate industry. With vast amounts of information available online, web scraping has emerged as a powerful tool for extracting valuable data from real estate websites. Whether you're an investor looking to gain insights into market trends, a real estate agent seeking to expand your property listings, or a developer building a property analysis tool, web scraping can provide you with the data you need. In this blog, we'll explore the fundamentals of web scraping in real estate, its benefits, and how to get started.

What is Web Scraping? Web scraping is the automated process of extracting data from websites. It involves using software to navigate web pages and collect specific pieces of information. This data can include anything from property prices and descriptions to images and location details. The scraped data can then be analyzed or used to populate databases, allowing for a comprehensive view of the real estate landscape.

Benefits of Web Scraping in Real Estate Market Analysis: Web scraping allows investors and analysts to gather up-to-date data on property prices, rental rates, and market trends. By collecting and analyzing this information, you can make informed decisions about where to buy, sell, or invest.

Competitive Intelligence: Real estate agents and brokers can use web scraping to monitor competitors' listings. This helps in understanding the competitive landscape and adjusting marketing strategies accordingly.

Property Aggregation: For websites and apps that aggregate property listings, web scraping is essential. It enables them to pull data from multiple sources and provide users with a wide selection of properties to choose from.

Automated Updates: Web scraping can be used to keep databases and listings up-to-date automatically. This is particularly useful for platforms that need to provide users with the latest information on available properties.

Detailed Insights: By scraping detailed property information such as square footage, amenities, and neighborhood details, developers and analysts can provide more nuanced insights and improve their decision-making processes.

Getting Started with Real Estate Web Scraping Step 1: Identify the Target Website Start by choosing the real estate websites you want to scrape. Popular choices include Zillow, Realtor.com, and Redfin. Each website has its own structure, so understanding how data is presented is crucial. Look for listings pages, property details pages, and any relevant metadata.

Step 2: Understand the Legal and Ethical Considerations Before diving into web scraping, it's important to understand the legal and ethical implications. Many websites have terms of service that prohibit scraping, and violating these can lead to legal consequences. Always check the website’s robots.txt file, which provides guidance on what is permissible. Consider using APIs provided by the websites as an alternative when available.

Step 3: Choose Your Tools Web scraping can be performed using various tools and programming languages. Popular choices include:

BeautifulSoup: A Python library for parsing HTML and XML documents. It’s great for beginners due to its ease of use. Scrapy: An open-source Python framework specifically for web scraping. It's powerful and suitable for more complex scraping tasks. Selenium: A tool for automating web browsers. It’s useful when you need to scrape dynamic content that requires interaction with the webpage. Step 4: Develop Your Scraping Script Once you have your tools ready, the next step is to write a script that will perform the scraping. Here’s a basic outline of what this script might do:

Send a Request: Use a tool like requests in Python to send an HTTP request to the target website and retrieve the page content. Parse the HTML: Use BeautifulSoup or another parser to extract specific data from the HTML. This might include property prices, addresses, descriptions, and images. Store the Data: Save the extracted data in a structured format such as CSV or a database for further analysis. Step 5: Handle Dynamic Content and Pagination Many modern websites load content dynamically using JavaScript, or they may paginate their listings across multiple pages. This requires handling JavaScript-rendered content and iterating through multiple pages to collect all relevant data.

For Dynamic Content: Use Selenium or a headless browser like Puppeteer to render the page and extract the dynamic content. For Pagination: Identify the pattern in the URL for paginated pages or look for pagination controls within the HTML. Write a loop in your script to navigate through all pages and scrape the data. Step 6: Clean and Analyze the Data After collecting the data, it’s essential to clean and normalize it. Remove duplicates, handle missing values, and ensure consistency in the data format. Tools like pandas in Python can be incredibly helpful for this step. Once the data is clean, you can begin analyzing it to uncover trends, insights, and opportunities.

[foodspark-scraper]

Web Data Extraction: Scraping Data from a Website's Store Locator

When competing with large corporations in your field, it can be challenging to find an edge. But one way to gain a competitive advantage is by knowing how to scrape data from a website's store locator. One of the best ways to compete against larger companies is to understand how to scrape data from a website's store locator . It is a primary business. You're trying to find a way to keep costs down so that you can be competitive. This might be through outsourcing physical goods production overseas or working with local suppliers who can provide enough volume for cost savings.

Even if you don't perform a lot of manufacturing, there are still methods for you to benefit from effective data scrapers for your store locator services, allowing you to save expenses while maximizing revenues. This post will review how to scrape data from a website's store locator. We'll discuss how to get the most out of your internet store locator and make it work like a machine.

What is data scraping, and how does it help businesses?

Data mining is the process of collecting data and organizing it in a way that offers beneficial results. In the case of a website's store locator, the data can be used in many ways for maximum profit.

When scraping data for your store locator, you pull a lot of information from one source. When this source is a website, this is known as web crawling. You only have to make multiple visits to each page to collect all of this information if you want to view it in detail or compare it with other pages like your competitors'. The information you collect is used to organize your business in a database. It can then be exported into other programs that can be used for marketing purposes.

It is suitable for businesses to organize their data to better hone in on the most profitable markets and potential customers. If you could manage this data from multiple sources, you may be spending more time reading through it all instead of organizing it and analyzing it cost-effectively.

[mobiledatascrape]

OTT Media Platform Data Scraping | Extract Streaming App Data

Unlock insights with our OTT Media Platform Data Scraping. Extract streaming app data in the USA, UK, UAE, China, India, or Spain. Optimize your strategy today

know more: https://www.mobileappscraping.com/ott-media-app-scraping-services.php

[iwebdatascrape1]

How to Effortlessly Scrape Product Listings from Rakuten?

Use simple steps to scrape product listings from Rakuten efficiently. Enhance your e-commerce business by accessing valuable data with web scraping techniques.

Know More : https://www.iwebdatascraping.com/effortlessly-scrape-product-listings-from-rakuten.php

[iwebdatascrape]

E-Commerce Data Scraping Services - E-Commerce Data Collection Services

"We offer reliable e-commerce data scraping services for product data collection from websites in multiple countries, including the USA, UK, and UAE. Contact us for complete solutions.

know more:

[actosoluions]

Scrape Popular Retailers Data | Scrape Data From Any Ecommerce Website

Scrape data from any eCommerce Website with Actowiz Solutions. Scrape popular retailers data with data fields like product name, prices, ratings, reviews, etc.

[ellipsus-writes]

Ellipsus Digest: March 18

Each week (or so), we'll highlight the relevant (and sometimes rage-inducing) news adjacent to writing and freedom of expression.

This week: AI continues its hostile takeover of creative labor, Spain takes a stand against digital sludge, and the usual suspects in the U.S. are hard at work memory-holing reality in ways both dystopian and deeply unserious.

ChatGPT firm reveals AI model that is “good at creative writing” (The Guardian)

... Those quotes are working hard.

OpenAI (ChatGPT) announced a new AI model trained to emulate creative writing—at least, according to founder Sam Altman: “This is the first time i have been really struck by something written by AI.” But with growing concerns over unethically scraped training data and the continued dilution of human voices, writers are asking… why? 

Spoiler: the result is yet another model that mimics the aesthetics of creativity while replacing the act of creation with something that exists primarily to generate profit for OpenAI and its (many) partners—at the expense of authors whose work has been chewed up, swallowed, and regurgitated into Silicon Valley slop.

Spain to impose massive fines for not labeling AI-generated content (Reuters)

But while big tech continues to accelerate AI’s encroachment on creative industries, Spain (in stark contrast to the U.S.) has drawn a line: In an attempt to curb misinformation and protect human labor, all AI-generated content must be labeled, or companies will face massive fines. As the internet is flooded with AI-written text and AI-generated art, the bill could be the first of many attempts to curb the unchecked spread of slop.

Besos, España 💋

These words are disappearing in the new Trump administration (NYT)

Project 2025 is moving right along—alongside dismantling policies and purging government employees, the stage is set for a systemic erasure of language (and reality). Reports show that officials plan to wipe government websites of references to LGBTQ+, BIPOC, women, and other communities—words like minority, gender, Black, racism, victim, sexuality, climate crisis, discrimination, and women have been flagged, alongside resources for marginalized groups and DEI initiatives, for removal.

It’s a concentrated effort at creating an infrastructure where discrimination becomes easier… because the words to fight it no longer officially exist. (Federally funded educational institutions, research grants, and historical archives will continue to be affected—a broader, more insidious continuation of book bans, but at the level of national record-keeping, reflective of reality.) Doubleplusungood, indeed.

Pete Hegseth’s banned images of “Enola Gay” plane in DEI crackdown (The Daily Beast)

Fox News pundit-turned-Secretary of Defense-slash-perpetual-drunk-uncle Pete Hegseth has a new target: banning educational materials featuring the Enola Gay, the plane that dropped the atomic bomb on Hiroshima. His reasoning: that its inclusion in DEI programs constitutes "woke revisionism." If a nuke isn’t safe from censorship, what is?

The data hoarders resisting Trump’s purge (The New Yorker)

Things are a little shit, sure. But even in the ungoodest of times, there are people unwilling to go down without a fight.

Archivists, librarians, and internet people are bracing for the widespread censorship of government records and content. With the Trump admin aiming to erase documentation of progressive policies and minority protections, a decentralized network is working to preserve at-risk information in a galvanized push against erasure, refusing to let silence win.

Let us know if you find something other writers should know about, (or join our Discord and share it there!) Until next week, - The Ellipsus Team xo

[ferociouslycreativemystery]

survived.

DIY exposure therapy time. if you don't hear from me in the next 5 days it's because I exploded

[webscreen-scraping]

Unlock Data-Driven Insights in Real Estate Using Web Scraping

In real estate, timely access to property trends and market data is crucial for staying competitive. Web scraping is the key tool for unlocking a wealth of real estate data. This blog will cover Real Estate Web Scraping techniques, ethical practices, and gathering real-time trends to transform your approach from spreadsheets.

The real estate market is always changing. Web scraping allows you to gather a large amount of data for analyzing trends including market direction, property values, and ideal buying/selling times. With this information, investors can select properties with higher potential return on investment (ROI), real estate agents can create targeted marketing campaigns and competitively price properties, and home buyers/sellers can find the best deals and negotiate effectively. Web scraping also helps in building real estate aggregators and identifying customer needs for developers and builders aiming to construct properties that will sell quickly.

You can scrape various types of real estate data from websites, including property details such as basic information and descriptions, listing details like price and status, market data such as sales and rental information, and other data points like public records and demographic data.

Read More: Real Estate Web Scraping

[novella-november]

See, here's the thing about generative AI:

I will always, always prefer to read the beginner works of a young writer that could use some editing advice, over anything a predictive text generator can spit out no matter how high of a "quality" it spits out.

I will always be more interested in reading a fanfiction or original story written by a kid who doesn't know you're meant to separate different dialogues into their own paragraphs, over anything a generative ai creates.

I will happily read a story where dialogue isn't always capitalized and has some grammar mistakes that was written by a person over anything a computer compiles.

Why?

Because *why should I care about something someone didn't even care enough to write themselves?*

Humans have been storytellers since the dawn of humankind, and while it presents itself in different ways, almost everyone has stories they want to tell, and it takes effort and care and a desire to create to put pen to paper or fingers to keyboard or speech to text to actually start writing that story out, let alone share it for others to read!

If a kid writes a story where all the dialogue is crammed in the same paragraph and missing some punctuation, it's because they're still learning the ropes and are eager to share their imagination with the world even if its not perfect.

If someone gets generative AI to make an entire novel for them, copying and pasting chunks of text into a document as it generates them, then markets that "novel" as being written by a real human person and recruits a bunch of people to leave fake good reviews on the work praising the quality of the book to trick real humans into thinking they're getting a legitimate novel.... Tell me, why on earth would anyone actually want to read that "novel" outside of morbid curiosity?

There's a few people you'll see in the anti-ai tags complaining about "people being dangerously close to saying art is a unique characteristic of the divine human soul" and like...

... Super dramatic wording there to make people sound ridiculous, but yeah, actually, people enjoy art made by humans because humans who make art are sharing their passion with others.

People enjoy art made by animals because it is fascinating and fun to find patterns in the paint left by paw prints or the movements of an elephants trunk.

Before Generative AI became the officially sanctioned "Plagiarism Machine for Billionaires to Avoid Paying Artists while Literally Stealing all those artists works" people enjoyed random computer-generated art because, like animals, it is fascinating and fun to see something so different and alien create something that we can find meaning in.

But now, when Generative AI spits out a work that at first appears to be a veritable masterpiece of art depicting a winged Valkyrie plunging from the skies with a spear held aloft, you know that anything you find beautiful or agreeable in this visual media has been copied from an actual human artist who did not consent or doesn't even know that their art has been fed into the Plagiarism Machine.

Now, when Generative AI spits out a written work featuring fandom-made tropes and concepts like Alpha Beta Omega dyanamics, you know that you favorite fanfiction website(s) have probably all been scraped and that the unpaid labours of passion by millions of people, including minors, have been scraped by the Plagiarism Machine and can now be used to make money for anyone with the time and patience to sit and have the Plagarism Machine generate stories a chunk at a time and then go on to sell those stories to anyone unfortunate enough to fall for the scam,

all while you have no way to remove your works from the existing training data and no way to stop any future works you post be put in, either.

Generative AI wouldn't be a problem if it was exclusively trained on Public Domain works for each country and if it was freely available to anyone in that country (since different countries have different copyright laws)

But its not.

Because Generative AI is made by billionaires who are going around saying "if you posted it on the Internet at any point, it is fair game for us to take and profit off," and anyone looking to make a quick buck can start churning out stolen slop and marketing it online on trusted retailers, including generating extremely dangerous books like foraging guides or how to combine cleaning chemicals for a spotless home, etc.

Generative AI is nothing but the works of actual humans stolen by giant corporations looking for profit, even works that the original creators can't even make money off of themselves, like fanfiction or fanart.

And I will always, always prefer to read "fanfiction written by a 13 year old" over "stolen and mashed together works from Predictive Text with a scifi name slapped on it", because at least the fanfiction by a kid actually has *passion and drive* behind its creation.

[iwebscrapingblogs]

This blog will guide you about web scraping and how you can use it to scrape e-commerce websites for the growth of your business. 

For More Information:-

[ekingston]

Hi; I don't know if you're still following the word-stream stuff, but the app is back online on the app store as "booktok - books and podcasts". The reviews marking it as having AI scraped data are still on the page itself, even though the name has changed, and duckduckgo still directs to their page if you look up "word-stream audiobooks"-- although if I don't know how long that will last. The website is seemingly gone, but the app still presumably has access to all the stolen works in the database.

Best regards, -someone else whose fics were stolen

yup

word-stream is back

it just calls itself—in an obvious attempt to profit from the TikTok upheaval—BookTok, now. and it’s not just the app, either: the whole website is back online, same as it was just before Cliff Weitzman took it down.

(in case you missed it, here are the original story & the update.)

fortunately (so far) the fanfiction category hasn't been re-added, but if you go to the store page for the app you can see that it’s still using 'fan-created universes' as advertising.

Weitzman didn't register the app under his own name this time, but through something called 'Oak Prime Inc'. hilariously, however, the email address listed in BookTok's privacy policy still refers to word-stream.com, so if Cliff was trying to scrub the connection between Speechify and his BookTok app, he didn't do a very thorough job.

here's the thing (and i'm about to put this up in a separate, more easily digestible post): if you take a look at the terms & conditions of Cliff's other platform, Speechify, it claims a truly comprehensive license to use the works uploaded to that platform in any way Cliff sees fit, including publishing and monetizing it elsewhere. and i keep seeing posts on Reddit and Bluesky from both readers and writers, happily using the Speechify app to read fanfic, advanced reader copies and their own yet-to-be-published work to them.

this is a BAD IDEA. Cliff has already proven that he will take work authored by others without their permission and redistribute it wholesale if he thinks it might make him money.

Cliff is the financial beneficiary of both Speechify and word-stream/booktokapp. it seems pretty obvious to me that he's trying to claim, via Speechify's terms & conditions, that every work uploaded to Speechify is his to do with whatever he pleases, which naturally includes moving them to this other platform so he can charge people for two subscriptions instead of just the one.

thank you so much for keeping an eye on this, anon, and for reaching out!! like i said, another post will go up today about the above, but i'm going to ask you all to help ensure that my posts & my name aren't the only ones giving voice to this message. when i tried to approach people about this issue on social media, often the—completely justified!—response was 'why should I take your word for it?' and Wikipedia only allowed the mention of Weitzman's copyright infringement to remain on his page when 'The Endless Appetite for Fanfiction' was listed as a source.

it can't just be me. DON’T take my word for it. do your own research (i would love to be proven wrong about this!), talk to your friends, engage with posts on social media similar to the ones i mentioned above (those are just some examples, don’t pile on to the OPs!) and make sure people know what they're jeopardizing. help me protect authors from money-grubbing shitheads like this one.