13 Most Popular Websites to Scrape in 2025
Picture this: All you want to do is scrape data, but where do you even start? Everyone talks about “scraping websites”, but which ones? Why those? And what’s the point? Well, we’ve got the answers on the websites to scrape!
This isn’t a generic list of “top sites people scrape.” This is your shortcut to actionable data goldmines for 2025. Think Amazon for price wars, LinkedIn for B2B leads, Zillow for real estate trends, and 10 more sites that actually matter.
We’ll cut through the noise and tell you exactly what data to grab, why it’s valuable, which tools you should use, and most importantly, why scrape a website.
Because here’s the truth: Scraping isn’t about tools. It’s about the targets. And when you know where to go for data, those rich websites with valuable information, that’s just it!
So are you ready to scrape smarter, not harder? Let’s go!
But first:
Which is the Best Tool For Anyone To Scrape Any Website?
If you’ve ever Googled ‘how to scrape data from a web page’, you’ve probably been hit with a flood of tools that promise to do it all. But let’s be honest, which one of those tools actually delivered their promises?
Well, welcome to the world of web scraping, where every tool promises to give you the world but often ends up ‘showing you dust’!
But don’t lose hope just yet. There’s one tool that actually gets ahead of the pack and delivers on everything it promises. That tool is Scrapelead.
You see, unlike traditional scrapers that simply send requests to a page, hoping for the best, Scrapelead is designed with web data scraping in mind. Trust and believe, the tool is that intelligent.
So, whether targeting a small website or a popular website, Scrapelead allows you to paste the links and scrape data from a website ASAP.
On top of that, Scrapelead is also:
- A no-code platform.
- Built with proxy rotation and handles CAPTCHAs.
- A supporter of web scraping at scale, whether one page or a thousand pages.
- Capable of handling complex and dynamic sites– JavaScript-heavy pages got nothing on it!
- Good at giving real-time data previews, allowing you to export your data in Excel, JSON, or CSV.
You could try dozens of tools that promise to scrape a website for data, or use one that works across every major site with no hassle. The choice is yours!
Ready to start hassle-free scraping?
Now that we have the OG of scraping, let’s go ahead and look at:
Top Categories of Websites People Scrape
When it comes to scraping web data, you must understand that some websites are data-rich, consistently updated, and structured in a way that makes them great targets for efficient scraping.
On the other hand, other websites have inconsistent HTML, requiring login access every two seconds, or using very heavy JavaScript, making them super hard (but not impossible) to scrape.
(If you want a deep dive into this topic, this Reddit conversation is quite informative.)
So, where do we stand? Which types of sites do most people target?
Well, we have uncovered some top categories, which tend to be more scrapable, not just for the amount of data they have, but because of the valuable data they hold for:
- Research
- Trend Tracking
- Lead Generation
- Competitor Analysis
Let’s break them down below:
1. E-commerce Platforms (Amazon, eBay)
If you’ve been checking out any guides on web scraping, you’d have noticed that these are the most frequently targeted in web scraping examples. Well, it’s not by accident or coincidence!
E-commerce platforms are frequently scraped by users for the following reasons:
- Keep an eye on rivals’ prices so they can instantly modify their own pricing plans.
- Monitor product availability to stay ahead of demand and inventory planning.
- Gather consumer reviews to evaluate comments and enhance product offerings.
On top of that, these websites are constantly updated, which keeps scrapers coming back.
2. Travel and Rental Listings (Airbnb, Booking.com)
The websites in this category offer a wealth of structured data, including locations, dates, prices, and reviews.
Mainly, people scrape travel and rental listing sites to:
- Examine pricing trends, particularly across seasons, locations, and listing categories.
- Monitor availability and occupancy to identify high-demand opportunities or voids.
- Review rival listings to improve their own reviews, features, and descriptions.
- Conduct market research to know what’s happening in the industry( It can be very dynamic).
3. Real Estate Platforms (Zillow, Realtor.com)
If you’ve ever wondered how to scrape a website for location-filtered or residence information, then real estate platforms will often serve you right.
Moreover, people also scrape the platforms to:
- Keep an eye on market changes, rentals, sales, and property prices.
- Compile listing and location data comprising neighbourhood information, square size, and home characteristics.
- Examine market trends such as appreciation rates, demand hotspots, or investment potential.
This information is gold for investors, brokers, real estate agents, and analytical tools seeking to remain ahead in fiercely competitive housing markets.
4. Business Directories (Yelp, Yellow Pages)
Now, these are the ‘top dogs’ for lead generation and local SEO campaigns.
Individuals mainly scrape business directories to:
- Create prospect lists with company names, categories, and contact information.
- Enhance CRM data with confirmed websites, addresses, and phone numbers.
- Tracking business density, customer reviews, and ratings by area or sector helps you to study local markets.
5. Job Boards (Indeed, LinkedIn)
Websites in this category feature structured listings with details on filters, including roles, salaries, experience levels, education, skills, and even locations. These filters make job board websites the easiest to access data from.
People scrape job boards to:
- Monitor hiring patterns, including in-demand positions, skills, and areas.
- Collect job postings at scale for competitor research, lead generation, or aggregation.
- Benchmark pay and find top companies using salary and company data analysis.
Now, with such access also comes aggressive anti-bot protection, so proxy rotation may be something you really want to consider here.
6. Social Media / Data-Rich Sites (Reddit, Instagram, Twitter/X)
These aren’t your typical structured pages, but they’re still some of the most scraped.
People scrape these sites to:
- Track public opinion and trends for brand reputation and market knowledge.
- For B2B or influencer outreach, where you collect user or business profile data.
- Monitor engagement statistics such as comments, shares, and likes to evaluate material performance.
Of course, they are harder to access, but they’ve got high demand for sentiment analysis and trend mapping.
7. News and Content Aggregators (Medium, Wikipedia, NYTimes)
Raise your hand if you thought these sites were just for reading… don’t be shy. We listen, but we don’t judge.
These sites often gather information from other sites and combine it into one. However, people also scrape them to track changes, gather author data, or compile articles by topic.
With their consistent formatting, they have become super easy to gather data reliably.
Now that you know the categories, you should delve deeper into the specific websites.
So as promised, here are the:
Top 13 Most Popular Websites to Scrape (And Why)
Amazon is the world’s largest e-commerce marketplace, boasting over 310 million active users and approximately 2 million active sellers. It has more than 600 million products and over 4000 items sold every minute.
With such a massive catalogue and real-time pricing dynamics, Amazon is an indispensable source for competitive intelligence, price tracking, and product research.
What Data Can You Scrape from Amazon?
The primary data elements you can scrape include:
| Product Title | Price |
|---|---|
| Product ASIN | Ratings |
| Number of Reviews | Review Content |
| Product Images | Product Description |
| Availability | Best Seller Rank |
Why Scrape Amazon?
With dynamic pricing and a vast catalogue, Amazon scraping helps with:
- Competitive Pricing Analysis: Track pricing changes to stay competitive.
- Product Research: Identify trending products and best-selling items.
- Review Analysis: Monitor customer feedback to assess product sentiment.
- Market Trend Tracking: Detect emerging product categories and niches.
- Seller Monitoring: Keep tabs on top competitors and third-party sellers.
ScrapeLead’s Scrapers You Can Use:
Now, here are 3 Scrapelead scrapers that can help in gathering Amazon data:
Blogs You Can Refer To:
Google’s search engine handles more than 8 billion searches daily. It offers structured HTML pages and specialized verticals (maps, news, shopping) rich in SEO data.
SEO professionals and digital marketers primarily use scraping tools to track keyword rankings, snippet content, and local business listings at scale on Google.
What Data Can You Scrape from Google?
From Google Maps:
| Business Name | Address |
|---|---|
| Latitude & Longitude | Phone Number |
| Website URL | Ratings |
| Number of Reviews | Business Hours |
| Review Snippets | Place ID |
From Google Hotels:
| Hotel Name | Address |
|---|---|
| Price per Night | Ratings |
| Number of Reviews | Room Types |
| Amenities | Booking Links |
| Review Snippets | Check-in/Check-out |
From Google Flights:
| Airline Name | Flight Number |
|---|---|
| Departure Airport | Arrival Airport |
| Departure Time | Arrival Time |
| Flight Duration | Price |
| Stops | Booking Link |
And many more…
Why Scrape Google?
As the world’s most visited website, scraping Google can provide:
- SEO Analysis: Monitor keyword rankings, featured snippets, and search trends.
- Hotel Listings: Monitor hotel prices, reviews, and availability for competitive analysis.
- Job Postings: Extract job listings from Google Jobs for employment insights.
- Flight Data: Track flight prices, schedules, and availability for travel analysis.
- Local Business Data: Gather business info from Google Maps for lead generation.
- Trends and Insights: Monitor trending searches to spot emerging market opportunities.
- Reviews and Ratings: Analyze customer feedback across various businesses.
ScrapeLead’s Scrapers You Can Use:
Now, here are 7 Scrapelead scrapers that can help in gathering Google data:
eBay is an auction and fixed-price marketplace with millions of active listings. This is why it serves as a prime source for historical price trends and product availability data.
Sellers and analysts crawl the website to monitor bidding patterns, price fluctuations, and supply dynamics.
What Data Can You Scrape from eBay?
In terms of data, here are the primary ones you can scrape:
| Product Title | Price |
|---|---|
| Item Condition | Seller Name |
| Seller Rating | Shipping Info |
| Number of Bids | Product Images |
| Item Location | Item Specifics |
Why Scrape eBay?
eBay’s vast marketplace offers rich data for multiple purposes:
- Price Monitoring: Track bidding trends and price fluctuations for competitive analysis.
- Product Research: Identify top-selling items and emerging product categories.
- Seller Analysis: Analyze seller profiles, ratings, and feedback for sourcing or partnership opportunities.
- Inventory Tracking: Monitor product availability and stock levels to spot shortages or surpluses.
- Historical Data Analysis: Study price histories to predict future pricing trends.
- Customer Insights: Extract buyer reviews to understand consumer sentiment and product performance.
ScrapeLead Scrapers You Can Use:
Now, here are 2 Scrapelead scrapers that can help in gathering eBay data:
Blogs You Can Refer To:
As the second largest e-commerce retailer in the US, Walmart.com offers structured product pages for various diverse categories. It also provides detailed specs and customer reviews.
Retailers and brands are the primary scrapers of Walmart for various reasons, such as to:
- Benchmark pricing
- Track inventory
- Analyze consumer feedback
What Data Can You Scrape from Walmart?
In terms of data, here are the primary ones you can scrape:
| Product Title | Price |
|---|---|
| Product Description | Ratings |
| Number of Reviews | Product Images |
| Availability | Seller Info |
| Shipping Options | Item ID/SKU |
Why scrape Walmart?
Walmart’s extensive product listings and consumer data make it a goldmine for:
- Price Comparison: Benchmark product prices against competitors to stay competitive.
- Inventory Analysis: Track stock levels to spot demand surges or potential shortages.
- Product Research: Analyze product descriptions, specifications, and reviews to identify market gaps.
- Consumer Sentiment: Extract reviews to gauge customer satisfaction and identify product weaknesses.
- Promotional Tracking: Monitor discounts, deals, and seasonal offers for timely marketing strategies.
ScrapeLead’s Scrapers You Can Use:
There are 2 Scrapelead Scrapers that can help you gather Walmart data. The two are:
Blogs You Can Refer To:
TripAdvisor has over 1 billion reviews across 8 million listings for hotels, restaurants, and attractions, making it a goldmine of data in the hospitality industry.
Travel scrapers are the website’s primary data miners. They track pricing, ratings, and seasonal trends to inform their analysis.
Data-wise, here are the main ones you can gather from the website:
| Place Name | Address |
|---|---|
| Overall Rating | Number of Reviews |
| Review Content | Ranking |
| Price Range | Amenities/Features |
| Photos | Category Type |
Why Scrape TripAdvisor?
With millions of user-generated reviews, TripAdvisor is ideal for:
- Reputation Analysis: Monitor guest feedback to assess hospitality service quality.
- Price Tracking: Compare accommodation rates across seasons and locations for competitive pricing.
- Trend Spotting: Identify popular travel destinations and emerging hotspots.
- Competitor Benchmarking: Analyze rival hotel listings for amenities, pricing, and ratings.
- Travel Insights: Extract traveller demographics and preferences to refine marketing strategies.
Yelp is your go-to buddy for determining how any business is perceived. It hosts over 244 million reviews across local businesses and has well-structured listings. These listings include contact information, operating hours, and user feedback—they don’t come bare!
Marketers and lead generation teams love the website and scrape it frequently because it helps build business directories and shows how businesses are reputed physically and online.
What Data Can You Scrape from Yelp?
For data, it offers a broad network, so we only highlight the primary forms below:
| Business Name | Address |
|---|---|
| Phone Number | Rating |
| Number of Reviews | Price Range |
| Business Hours | Website URL |
| Photos | Categories |
Why Scrape Yelp?
Yelp’s detailed business listings and reviews provide valuable data for:
- Lead Generation: Extract contact info for targeted outreach and local marketing.
- Reputation Management: Track customer feedback and ratings to monitor brand sentiment.
- Competitor Analysis: Compare competitor reviews, ratings, and service offerings.
- Location Research: Identify business density and customer demand by area.
- Market Analysis: Gather insights on popular businesses and emerging service trends.
ScrapeLead Scrapers You Can Use:
Scrapelead has one main scraper for Yelp, which scrapes business listings in one go:
Now, the OG for business professionals! LinkedIn boasts over 1 billion members and over 69 million companies. Yeah, you read that right!
At this point, LinkedIn is not just an essential for B2B lead generation; it’s a necessity!
What Data Can You Scrape from LinkedIn?
Here’s a sneak peek of the primary data points from LinkedIn and their use cases:
| Name | Job Title |
|---|---|
| Company Name | Location |
| Industry | Number of Connections |
| Education | Skills |
| Summary | Experience |
Why scrape LinkedIn?
LinkedIn’s professional network is a goldmine for:
- Lead Generation: Build targeted B2B prospect lists based on job titles, industries, and locations.
- Recruitment Analysis: Monitor hiring trends, in-demand skills, and job postings.
- Competitor Research: Track company updates, employee growth, and partnerships.
- Industry Insights: Analyze content engagement to gauge industry sentiment and trending topics.
ScrapeLead Scrapers You Can Use:
For LinkedIn, Scrapelead offers a powerful LinkedIn scraper that allows you to extract any type of data you need.
Blogs You Can Refer To:
With 368 million monthly active users, X is another valuable social media platform on which anyone can access real-time public posts, user metadata, and trending topics.
It’s one of those areas where people just rant freely, making it an excellent station for sentiment and trend analysis. That’s why brands scrape it to monitor their campaign performance and gather public opinion.
What Data Can You Scrape from X?
Here’s some of the data you can gather from the platform:
| Username | Display Name |
|---|---|
| Bio | Location |
| Number of Followers | Number of Following |
| Number of Tweets | Tweet Content |
| Tweet Engagement | Hashtags & Mentions |
Why Scrape X (Twitter)?
With real-time data and trending topics, Twitter scraping helps with:
- Sentiment Analysis: Monitor public opinion on brands or events.
- Trend Tracking: Spot emerging topics and viral content.
- Campaign Monitoring: Assess engagement on tweets, hashtags, and mentions.
- Competitor Analysis: Track competitor mentions and customer feedback.
- Content Research: Gather user-generated content for social listening.
ScrapeLead’s Scrapers You Can Use:
Scrapeled offers the Twitter Scraper, which can extract a wide range of data from X:
Blogs You Can Refer To:
Facebook has over 3 billion monthly active users. This makes it a great place to gather data from pages and ad insights, as well as actual profile data. This data is invaluable in ad targeting and audience profiling.
Most people go there to scrape post contents and follower demographics for social listening.
What Data Can You Scrape from Facebook?
Here’s a breakdown of the primary forms of data you can gather from Facebook:
| Name | Profile Picture |
|---|---|
| Bio | Location |
| Number of Followers | Number of Posts |
| Posts Content | Engagement |
| Page/Group Category | Likes-Comments |
Why Scrape Facebook?
With billions of users and active pages, Facebook scraping helps with:
- Audience Insights: Analyze follower demographics and interests.
- Ad Monitoring: Track competitor ads and promotional content.
- Market Research: Gather reviews and feedback on products or services.
- Content Performance: Monitor engagement metrics like likes, shares, and comments.
- Lead Generation: Collect business page info and contact details.
ScrapeLead’s Scrapers You Can Use:
For Facebook, Scrapelead offers these two scrapers:
Blogs You Can Refer To:
Craigslist is often classified as an ad network. The site has various categories, including jobs, housing, for sale, and services. All of these categories are structured in simple HTML, making them ideal for scraping.
What Data Can You Scrape from Craigslist?
The various forms of data you can gather from Craigslist include:
| Listing Title | Price |
|---|---|
| Description | Location |
| Posting Date | Contact Info |
| Category | Image URLs |
| Seller Name/Username | Listing ID |
Why Scrape Craigslist?
With the massive amount of data that Craigslist has, it is valuable for:
- Real Estate Analysis: Track rental and sale listings for pricing insights.
- Job Listings: Extract job postings to monitor hiring trends.
- Market Research: Analyze item listings to gauge demand and pricing.
- Lead Generation: Gather contact info for services or products.
- Service Listings: Monitor local service providers and competition.
Indeed hosts over 200 million resumes and millions of job postings worldwide. It also offers structured listings with salary estimates and company ratings.
Recruiters and labour market analysts are the primary beneficiaries of this data, as they use it to extract job titles, descriptions, and compensation information.
What Data Can You Scrape from Indeed?
Here’s a breakdown of the data you can extract from Indeed:
| Job Title | Company Name |
|---|---|
| Location | Job Description |
| Salary | Job Type |
| Date Posted | Application Link |
| Company Rating | Required Skills |
Why scrape Indeed?
As a hub for job listings and salary data, Indeed scraping helps with:
- Hiring Trends: Track in-demand roles and skill requirements.
- Salary Analysis: Compare compensation data across industries.
- Company Insights: Monitor employer ratings and reviews.
- Job Aggregation: Collect listings for job boards or recruitment tools.
- Competitor Research: Analyze job postings from rival companies.
ScrapeLead’s Scrapers You Can Use:
For Indeed, Scrapelead offers the Indeed Job Listings Web Scraper, which gathers the above and more data:
Blogs You Can Refer To:
Zillow’s database hosts over 100 million listings that are updated daily. So if you’re eyeing either rentals, homes, or just any form of housing, it’s your go-to space.
Investors and agents are often the primary individuals who scrape the database for listing details, price histories, and property specifications.
What Data Can You Scrape from Zillow?
The primary data you can gather from Zillow includes:
| Property Title | Price |
|---|---|
| Address | Property Type |
| Bedrooms | Bathrooms |
| Square Footage | Listing Date |
| Photos | Zestimate |
Why Scrape Zillow?
As a data-rich platform for property listings, Zillow scraping helps with:
- Price Monitoring: Track property prices and rental rates.
- Market Analysis: Identify real estate trends by location.
- Investment Research: Compare property values and amenities.
- Rental Insights: Monitor vacancy rates and rental demand.
- Property Comparisons: Gather data for side-by-side listing analysis.
ScrapeLead’s Scrapers You Can Use:
The Zillow Properties Web Scraper from Scrapelead is excellent for gathering all the necessary data from the website.
This scraper is your go-to tool for all your real estate needs, from property details to views and saves.
Blogs You Can Refer To:
Yellowpages.com gets over 60 million monthly visits to its business directory. The high number is due to its structured listings for local companies, contact data, and category tags.
Sales and marketing teams are actively scraping the website as they build their prospect lists and enrich their CRMS.
What Data Can You Scrape from Yellow Pages?
Overall, here are some data types you can easily gather from the Yellow Pages:
| Business Name | Address |
|---|---|
| Phone Number | Website URL |
| Category | Business Description |
| Business Hours | Reviews |
| Location on Map | Contact Email |
Why Scrape Yellow Pages?
Yellow Pages scraping provides valuable business data for:
- Lead Generation: Extract contact details for potential clients.
- Market Research: Identify industry trends and competitor information.
- Local SEO: Boost local search rankings with business info.
- Customer Insights: Analyze customer reviews and feedback.
- Business Listings: Collect up-to-date information on local businesses.
ScrapeLead Scrapers You Can Use:
For Yellow Pages, you can use the Yellow Pages Scraper from Scrapelead:
It lets you gather business listings, contact details, customer reviews, ratings, and more, all in a matter of seconds.
Summing It All Up
We may not agree on everything, but one thing’s certain: the web is your oyster for valuable, publicly available data… if you know where (and how) to look.
So, whether you’re trying to scrape site content for research, leads, trends, or pricing, there’s a massive opportunity to know what’s possible and do it right.
And through the scraping, just know that ScrapeLead has your back!
Remember, we’ve only covered 13 websites, which are just a handful of the 10,000s you can scrape. With that in mind, make sure you check out all our scrapers, because after all, ScrapeLead is the best web scraper on the market right now!
We hope this guide was helpful, and we look forward to cheering you on in your scraping journey! Go forth and shine!!
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