The Jiji Listings Scraper extracts marketplace listings from Jiji across Nigeria, Kenya, Ghana, Tanzania, and Uganda, capturing titles, prices, attributes, images, locations, demand signals, seller profiles, and contact details — ideal for price tracking, market research, and lead generation.
The Wayfair Listings Scraper extracts product cards from any Wayfair category, sub-category, or keyword search URL, capturing name, SKU, prices, discount, rating, reviews, image, variant count, sale flags, and delivery info — ideal for price tracking and competitive analysis.
The Mercari Listings Scraper extracts product listings from Mercari Japan's marketplace, capturing item names, prices, statuses, thumbnails, brands, and seller details. Ideal for resale market analysis, price tracking, and competitor research across Japan's largest C2C marketplace.
Carousell Listings Scraper extracts product listings from carousell.sg search results and detail pages, capturing titles, prices, conditions, descriptions, images, seller profiles, and posting dates — perfect for marketplace research, price monitoring, and competitor analysis.
The DHgate Listings Scraper extracts product data from DHgate search URLs, capturing titles, images, prices, URLs, shipping status, ratings, and available coupons—ideal for market research, price tracking, and supplier analysis.
Scrapes product details, retailer storefronts and cross-retailer search results from instacart.com. Independent tool, not affiliated with or endorsed by Instacart.
The Rakuten Japan Listings Scraper extracts product listings from Rakuten — capturing names, JPY prices, review scores, shop info, shipping, Rakuten points, structured tags, and category breadcrumbs — ideal for Japanese marketplace research, price monitoring, and catalog building.
Xianyu (Goofish) Listings Scraper extracts second-hand product listings from Alibaba's goofish.com — titles, prices, cities, seller info, images, and want counts. Supports anonymous home-feed scraping and authenticated keyword search with optional detail-page enrichment.
The Brand Store Locator Scraper extracts retail stockist and store location data from any brand's website, pulling records with store names, addresses, geo coordinates, phone numbers, and websites — ideal for retail intelligence, location data enrichment, and competitive distribution analysis.
The StockX Listings Scraper extracts product data from StockX based on search keywords and categories, capturing names, URLs, images, detailed pricing, condition, model, and category—ideal for market research and resale analysis.
The Collabstr Scraper extracts creator profiles from the Collabstr influencer marketplace, capturing names, bios, locations, platforms, exact service-package pricing, ratings, reviews, and real Instagram/TikTok/YouTube handles — ideal for influencer discovery, pricing benchmarks, and B2B outreach.
Scrape job listings from ZipRecruiter by keyword and location: title, company, salary, description, and more. Independent tool, not affiliated with or endorsed by ZipRecruiter, Inc. All trademarks are property of their respective owners.
WooCommerce Product Scraper extracts product data from any WooCommerce store, capturing names, prices, descriptions, images, categories, stock status, and ratings — ideal for market research, competitor analysis, and e-commerce monitoring.
The Bloomberg Category News Scraper extracts news articles from Bloomberg by category, capturing headlines, authors, publish dates, images, and article links. Ideal for news aggregation, market analysis, and trend monitoring.
Scrapes OfferUp search results by keyword, location, and price filters — capturing titles, prices, conditions, images, and locations. Enable full detail mode to also collect descriptions, post dates, seller names, ratings, and verification status.
The Dice.com Jobs Scraper extracts US tech job listings from Dice.com based on search keywords and location (state), capturing salary details, remote work status, company logo, job URL, and job descriptions. Ideal for job market analysis and recruitment insights.
The LoopNet Listings Scraper enables fast and efficient data extraction from LoopNet search URLs. It gathers key property details, including price, listing agent, location, images, and URLs. Ideal for real estate investors, market analysts, and commercial property researchers.
The Viator Scraper extracts activity and tour data from Viator by processing an array of URLs, capturing paginated results with titles, prices, discounts, location details, images, and direct links—ideal for travel research and competitor analysis.
The Poshmark Listings Scraper extracts product data from Poshmark search URLs, capturing titles, images, links, brand, size, price, and old price—ideal for resale market analysis and price tracking.
The Threads Posts Scraper extracts posts, replies, profiles and keyword search results from Threads — text, likes, reply/repost/quote counts, media, link previews, authors and timestamps —no login needed. Ideal for brand monitoring, sentiment and creator research.
The Allegro Listings Scraper enables quick and efficient data extraction from allegro.pl, allegro.cz, and allegro.sk. It gathers information from listing pages on one of Europe’s leading e-commerce marketplaces, providing valuable insights for market analysis and price monitoring.
The OddsPortal Scraper extracts fixtures, results and betting odds from OddsPortal.com, capturing every bookmaker's price, average and best odds, payouts, final scores and full market books with opening and closing lines - ideal for betting models and odds backtesting.
The AliExpress Image Search Scraper finds AliExpress products that match a photo — reverse image search returning ranked listings with sale and original prices, discounts, unit price, ratings, units sold and a best-match flag for your ship-to country — ideal for sourcing and price benchmarking.
The TikTok Video Transcript Scraper turns TikTok videos into searchable text, capturing full transcripts with timestamps and spoken language, plus caption, hashtags, author, follower count, publish date, length, sound and engagement counts — ideal for content research and AI pipelines.