The most scraped websites in 2025 are Amazon, TikTok, Google, LinkedIn, eBay, YouTube, Tripadvisor, X (Twitter), Indeed, and Facebook. These platforms generate the bulk of commercial web scraping activity because they hold massive volumes of product data, pricing information, job listings, and user-generated content that businesses need for competitive intelligence, AI training, and market research. According to F5 Labs, 10.2% of all global web traffic now comes from scrapers.
Which Websites Get Scraped the Most in 2025?
The ranking of most-scraped websites shifts yearly based on industry demand and AI training needs. The biggest change in 2025: TikTok jumped to the top of scraping targets, driven by demand for short-form video content data to train multimodal AI models. Here's the current ranking based on scraping API request volumes and industry reports.
| Rank | Website | Primary Data Scraped | Key Industry | Monthly Scraping Requests (est.) |
|---|---|---|---|---|
| 1 | Amazon | Product listings, prices, reviews | E-commerce | Billions |
| 2 | TikTok | Video metadata, trends, engagement | AI/ML, Marketing | Billions (new #1 growth) |
| 3 | Google (Search/Maps) | SERPs, keywords, local listings | SEO, Marketing | Billions |
| 4 | Professional profiles, job postings | Recruitment, B2B Sales | Hundreds of millions | |
| 5 | eBay | Auction prices, product listings | E-commerce | Hundreds of millions |
| 6 | YouTube | Video stats, comments, transcripts | Content, AI Training | Hundreds of millions |
| 7 | Tripadvisor | Hotel/restaurant reviews, pricing | Travel, Hospitality | Tens of millions |
| 8 | X (Twitter) | Posts, sentiment, trending topics | Finance, PR, Research | Tens of millions |
| 9 | Indeed | Job listings, salaries, company data | HR, Recruitment | Tens of millions |
| 10 | Public posts, business pages, ads | Marketing, Research | Tens of millions |
According to Decodo's 2025 analysis, the biggest shift is that everyone's racing to collect data for AI training, which means scrapers need far more diverse content than before. TikTok's rise reflects this — multimodal AI models need video metadata, captions, and engagement signals that only platforms like TikTok can provide.
What Data Do Scrapers Extract from Each Website?
Each website offers different types of valuable data. Understanding what gets scraped — and why — helps businesses identify the right sources for their intelligence needs.
Amazon — Product Intelligence at Scale
Amazon remains the single most scraped e-commerce platform. Scrapers extract product listings, real-time pricing, customer reviews, seller information, and inventory status. According to PromptCloud's 2025 report, 81% of US retailers now use automated price scraping for dynamic repricing — and most of that activity targets Amazon.
Businesses that scrape Amazon pricing data regularly report 20-30% improvements in their own pricing optimization. The challenge: Amazon invests heavily in anti-bot detection, making reliable extraction difficult without specialized tools. Our web scraping API comparison covers which services handle Amazon most effectively.
TikTok — The Fastest-Growing Scraping Target
TikTok jumped from outside the top 10 to the fastest-growing scraping target in 2025. With over 1.5 billion monthly active users and a unique algorithm-driven discovery system, TikTok holds data that's critical for AI training, trend analysis, and influencer marketing. Scrapers extract video metadata, hashtag trends, engagement metrics, creator profiles, and comment sentiment.
The demand is driven by two forces: AI companies training multimodal models need diverse video content data, and marketing teams need real-time trend intelligence. For teams working with TikTok data, reliable TikTok proxies are essential since the platform aggressively blocks scraping attempts.
Google — The SEO Data Source
Google search results are scraped more than any other single endpoint. SEO professionals, digital marketers, and competitive intelligence teams extract keyword rankings, search result positions, featured snippets, People Also Ask data, and local business listings from Google Maps.
Over 40% of all scraping API requests target Google. This makes sense: organic search drives the majority of website traffic, and understanding your ranking position relative to competitors requires constant monitoring. Google's anti-scraping protections are among the most sophisticated — including CAPTCHAs, rate limiting, and JavaScript challenges. Our CAPTCHA statistics analysis covers the specific challenges of scraping Google.
LinkedIn — B2B Intelligence Hub
LinkedIn is the primary target for B2B data extraction. Scrapers collect professional profiles, company information, job postings, and industry connections. This data powers recruitment automation, sales prospecting, and competitive hiring analysis.
Companies using LinkedIn scraping tools report up to 50% improvement in recruitment efficiency by identifying qualified candidates faster. However, LinkedIn is legally aggressive about protecting its data — the hiQ Labs v. LinkedIn case established that scraping public profiles is legal, but LinkedIn continues to enforce strict rate limits and account restrictions. For background on the legal landscape, see our legal battles that changed web scraping.
eBay, YouTube, and the Rest
eBay is scraped for auction pricing dynamics and product availability — sellers who monitor competitor pricing report 20% sales improvements. YouTube provides video performance metrics, comment sentiment, and transcript data that content creators and AI researchers both need. Tripadvisor feeds hospitality pricing intelligence. X/Twitter powers real-time sentiment analysis and financial trend tracking. Indeed provides salary benchmarks and job market data. And Facebook public pages supply market research and advertising intelligence.
How Much Web Traffic Comes from Scrapers?
Bot traffic — including scrapers — makes up a significant portion of all web traffic. The exact percentage varies by industry, but the numbers are striking.
| Industry | Scraper Traffic Share | Primary Scraping Purpose |
|---|---|---|
| Fashion/Retail | 53% | Price monitoring, trend tracking |
| Hospitality/Travel | 49% | Rate comparison, availability monitoring |
| Healthcare | 34% | Provider data, drug pricing |
| Real Estate | 28% | Property listings, market analysis |
| Finance | 22% | Market data, alternative data signals |
| Global Average | 10.2% | Mixed |
According to PromptCloud's 2025 State of Web Scraping report, the fashion and hospitality industries see the highest scraper traffic percentages. In fashion, over half of all web traffic comes from automated scrapers — mostly monitoring prices, inventory levels, and new product launches across competitor sites.
The anti-scraping response has been equally dramatic. Between 2022 and 2025, the number of commercial bot-management and anti-scraping services tracked by Wappalyzer jumped from 36 to 60. Websites are investing more than ever in detection and prevention. For scrapers, this means that CAPTCHA bypass capabilities and quality proxy networks aren't optional anymore.
What's Driving the Growth in Web Scraping?
Three forces are accelerating scraping demand in 2025-2026, and they're all connected to the AI boom.
AI training data hunger is the biggest driver. According to Future Market Insights, 65% of enterprises now use web scraping to feed AI and machine learning projects. As major platforms restrict API access (Reddit, X/Twitter, Stack Overflow all raised prices or limited free tiers), web scraping becomes the primary alternative for collecting training data. Our guide on scraping websites for LLM training covers the practical side of this shift.
Real-time competitive intelligence demands are intensifying. The web scraping market reached $1.03 billion in 2025 and is projected to hit $2.0 billion by 2030, growing at 14.2% CAGR. E-commerce drives the largest share, with dynamic pricing strategies requiring constant monitoring of competitor sites.
| Market Metric | 2023 | 2025 | 2030 (projected) | Growth Rate |
|---|---|---|---|---|
| Web scraping market size | $489M | $1.03B | $2.0B | 14.2% CAGR |
| AI-driven scraping market | N/A | $7.48B | N/A ($38.4B by 2034) | 19.93% CAGR |
| Cloud-based scraping share | ~55% | 68% | ~80% (est.) | 17.2% annually |
| Enterprises using scraping for AI | ~40% | 65% | ~80% (est.) | Growing steadily |
Alternative data in finance is the third accelerator. According to ScrapingDog's analysis, 67% of US investment advisors now use alternative data sourced through web scraping — up 20 percentage points in just one year. Hedge funds, quant traders, and financial analysts scrape pricing data, sentiment signals, and supply chain indicators from across the web.
How Do Scraping Success Rates Vary by Website?
Not all websites are equally easy to scrape. Anti-bot protections, JavaScript rendering requirements, and rate limiting create dramatically different success rates across platforms. Here's what we see in practice at ScrapingAPI.ai.
| Website | Scraping Difficulty | Success Rate (with API) | Success Rate (DIY) | Key Challenge |
|---|---|---|---|---|
| Amazon | High | 95-99% | 40-60% | Aggressive anti-bot, CAPTCHAs |
| TikTok | Very High | 85-95% | 20-40% | Heavy fingerprinting, rate limits |
| Google Search | High | 90-98% | 30-50% | CAPTCHAs, JS challenges |
| Very High | 80-90% | 15-30% | Account restrictions, legal threats | |
| eBay | Medium | 95-99% | 60-80% | Rate limiting |
| YouTube | Medium | 90-98% | 50-70% | JS rendering, dynamic loading |
| Tripadvisor | Medium | 90-95% | 50-70% | Anti-bot measures |
| X/Twitter | High | 85-95% | 25-45% | API restrictions, rate limits |
| Indeed | Medium | 90-98% | 55-75% | IP blocking, CAPTCHAs |
| Very High | 75-85% | 10-25% | Login walls, strict anti-scraping |
The gap between API-assisted and DIY scraping tells the whole story. On heavily protected sites like Amazon and TikTok, using a dedicated AI web scraping tool with built-in proxy rotation and CAPTCHA solving can triple your success rate compared to writing scripts from scratch.
For a deeper look at industry-specific success rates, see our real web scraping success rates across industries report. And for understanding what drives these differences in protection levels, our ethical web scraping guide explains the business motivations behind anti-bot investments.
