Stealth mode

Scrape detailed cruise reviews from CruiseCritic.com including ratings, reviewer profiles, ship info, destinations, images, and helpfulness votes — perfect for travel analysts, cruise lines, and hospitality researchers.

Scrape detailed tour reviews from GetYourGuide.com by Tour ID. Collect ratings, author info, traveler types, media, replies, and 20+ fields per review — perfect for tour operators, travel analysts, and reputation managers.

Scrape structured car listing data from Autowini.com search results. Collect 45+ fields per vehicle including price, specs, condition, seller info, and media — perfect for dealers, researchers, and automotive data platforms.

Scrape verified guest reviews from Agoda.com hotel pages — including ratings, review text, check-in dates, reviewer info, and hotel responses. Filter by keyword, sort order, and page. Perfect for hospitality analytics, reputation management, and travel research.

Efficiently scrape property listings from Flatfox.ch, Switzerland's leading digital rental platform. Extract comprehensive rental data including apartments, houses, prices, locations, and property details. Perfect for real estate agencies, market researchers, and property investment analysts.

Scrape comprehensive vehicle listings from Mobile.de, Germany's largest automotive marketplace. Extract car specifications, pricing, seller information, and financing options from search results. Ideal for automotive dealers, market analysts, and price comparison platforms.

Scrape car listings from Mudah.my search pages and extract 80+ fields per ad — price, mileage, make, model, seller info, loan estimates, images, and more. Perfect for automotive analysts, dealers, and price comparison platforms.

Scrape comprehensive job listings from NoFluffJobs.pl, Poland's leading tech recruitment platform. Extract IT job postings with transparent salaries, tech stacks, remote work options, and seniority levels. Perfect for recruitment agencies, tech talent analysis, and Polish IT market intelligence.

Scrape structured job listings from Foundit.in (formerly Monster India) with 75+ data fields per record. Collect titles, salaries, skills, company info, and application URLs from any search results page — perfect for recruiters, analysts, and job aggregators.

Scrape book reviews from Goodreads.com, the world's largest book recommendation platform. Extract review text, ratings, user profiles, timestamps, and engagement metrics. Ideal for publishers, authors, market researchers, and sentiment analysis applications.

Scrape comprehensive product data from Liverpool.com.mx, Mexico's leading department store chain. Extract product details, pricing, variants, availability, ratings, and category information from search results. Ideal for price monitoring, market research, competitor analysis in Mexican retail market

Scrape comprehensive product reviews from Sephora.com including ratings, verified purchases, user feedback, and review metadata. Extract customer insights, sentiment data, and product performance metrics for beauty market research and competitive analysis.

Scrape Turo.com car search results effortlessly. Collect pricing, availability, ratings, host info, vehicle specs, and more — perfect for market research, pricing analysis, and competitive intelligence in the peer-to-peer car rental space.

Scrape product listings from Vinted (All domains), Europe's leading secondhand fashion marketplace. Extract prices, seller information, brand details, engagement metrics, and product photos from search results. Ideal for resellers, market researchers, and price comparison platforms.

Scrape job listings from ZonaJobs.com.ar with 30+ structured fields per result — including company info, work modality, salary flags, location, and publication dates. Perfect for recruiters, analysts, and HR professionals targeting the Latin American job market.

Scrape job listings from jobs.ams.at — Austria's official public employment portal. Extract titles, companies, locations, working hours, education levels, and more from any AMS search result page. Ideal for labor market research and HR analysis.

Scrape OpenTable restaurant search results effortlessly. Extract names, cuisines, availability slots, reviews, pricing, coordinates, and 30+ fields per restaurant — perfect for market research, travel apps, and food industry analysis.

Scrape TradeMe property search results in bulk — extract listing prices, locations, bedrooms, amenities, agent info, and 45+ fields per property. Perfect for real estate analysts, investors, and developers tracking the NZ market.

Scrape product listings from Carrefour Argentina's e-commerce platform. Extract prices, brands, categories, SKU specifications, inventory data, and promotional information. Ideal for price monitoring, competitive intelligence, market research, and retail analytics in the Argentine market.

Scrape car listings from Coches.net search results in bulk. Collect prices, specs, seller info, photos, financing details, and 40+ fields per vehicle — perfect for dealers, analysts, and automotive platforms.

Scrape product listings from Fravega.com, Argentina's leading electronics and home appliance retailer. Extract prices, brands, SKUs, stock status, installment plans, and product images from search pages. Ideal for price monitoring, market analysis, and competitive intelligence in Latin American.

Scrape hotel search results from Ostrovok.ru — Russia's leading booking platform. Collect names, ratings, prices, room groups, geo-data, and 35+ fields per property. Perfect for travel analysts, price monitors, and OTA researchers.

Scrape Sellpy.se product listings with 51+ data fields per item. Capture pricing, inventory status, brand info, images, customer favorites, and ranking metrics — perfect for market analysis, price monitoring, and resale business intelligence.

Scrape product search results from Walgreens with 51+ data fields including pricing, inventory, images, ratings, and fulfillment details. Perfect for price monitoring, retail analytics, and product intelligence across thousands of SKUs.