Access the Unreachable: Data Mining at Scale
Get structured data from hard-to-parse public sources — legal databases, pricing info,
scientific archives and more. We
bypass CAPTCHAs and roadblocks for you.
"Examples of data we can automatically extract from open sources — even those protected by CAPTCHA. These include marketplaces, legal databases, scientific papers, and more."
Ability to scrape court case databases, criminal records, and property registries for legal research or background checks (Scraping Public Records for Legal Case Analysis). This includes details like case numbers, filing dates, judgments, and ownership records – even from sites that require manual searches or have CAPTCHA barriers.
Aggregation of real estate information from listing websites and public records – property listings, prices, locations, and housing market trends. This is useful for real estate agencies, property investors, and market analysts to track inventory and price fluctuations across regions.
Collecting macroeconomic indicators, financial market data, and industry statistics from various websites. For example, scraping government economic databases or market reports that aren’t easily available in bulk. Such data supports market forecasting and strategic analysis in finance (Web Scraping For Financial Data. Web Scraping is a boon for the… | by Darshan Khandelwal | Medium) and other sectors.
Scraping product listings, prices, and customer reviews from e-commerce platforms (Amazon, eBay, Alibaba, etc.) for price monitoring and competitive analysis (10 Most Scraped Websites of Data in 2024 - ScrapingAPI.ai). This includes handling sites with anti-scraping measures (CAPTCHAs, IP blocks) to gather real-time pricing and inventory data reliably (10 Most Popular Websites for Web Scraping (2025 Update) | Octoparse).
Collecting public social media posts, comments, and consumer reviews from platforms like Twitter, Facebook, and online forums. Businesses use this data for sentiment analysis and brand monitoring. For example, analyzing consumer feedback can improve ad targeting accuracy by ~40% (10 Most Scraped Websites of Data in 2024 - ScrapingAPI.ai), helping refine marketing strategies.
Gathering data on businesses and professionals from directories and professional networks (e.g., Yellow Pages, LinkedIn). This includes company profiles, contact information, and job postings, which aids B2B lead generation and recruitment efforts (scraping professional networks can increase recruiting efficiency by ~50% (10 Most Scraped Websites of Data in 2024 - ScrapingAPI.ai)).
Extraction of information from online academic databases and libraries (research papers, citations, patents, etc.). This helps researchers and data scientists gather large datasets for analysis, enabling meta-studies or training AI models on scholarly data.
