ScrapeBadger

Scrape X/Twitter tweets for just $0.15 per 1,000 results. Advanced search with 40+ filters, batch tweet lookup, replies, retweeters, favoriters, quotes, and similar tweets. No API key needed, no rate limits.

Scrape Amazon customer reviews by ASIN or URL — rating, title, body, author, date, verified flag, helpful votes and review images. Filter by star, verified-only or media-only; bulk ASINs, auto-pagination, 20 marketplaces. No login or CAPTCHAs. From $0.60/1K reviews.

Scrape Google Search (SERP) results at scale: organic, paid ads, AI Overview, knowledge graph, People Also Ask, local pack, news, related searches. Supports desktop / mobile, 200+ domains, location & language targeting. No CAPTCHAs — handled by ScrapeBadger's residential proxy + browser farm.

ScrapeBadger's Twitter/X User Profile Scraper extracts public user data: IDs, profiles, followers, followings, & latest tweets. Perfect for market research, influencer ID, and building datasets. It's cost-effective, easy to use, and requires no API key. Get powerful user insights today!

This X(Twitter) scraping actor is degined to get all things trends related - trends by types, trends places, locations & more!

Scrape Vinted listings, item details, user profiles, and catalog data across 26 European markets. Filter by brand, price, color, condition. Structured JSON with prices, photos, seller info. For market research, price monitoring, e-commerce.

Scrape Google AI Mode (generative answer responses from udm=50): structured text blocks, citations with links and titles. Accepts one or more queries. Ideal for building AI-vs-AI comparisons, answer-engine monitoring, and SEO research on how Google's AI summarises topics.

This Twitter (X) scraping actor is designed for lists: getting list members, list tweets, searching for lists.

Scrape Google Scholar at scale: paper search with year range + language filters, author profile lookup (h-index, i10-index, interests, co-authors, full article list), citation formats (MLA, APA, Chicago, Harvard, Vancouver) with BibTeX / RIS / EndNote / RefWorks exports.

Scrape Reddit posts, users, subreddits and other data with affordable ScrapeBadger Reddit Scraper. High success rates and fast support. 20 modes: posts, comment trees, subreddits, rules, wiki, user data, keyword & domain search, trending. No Reddit API key needed. From $1.00/1K items.

Scrape Google's autocomplete / suggestions endpoint at scale. Returns up to 10 suggestions per seed, enriched with Knowledge Graph entity_name + thumbnail when Google surfaces them. Supports bulk seeds (one run = many queries). Ideal for SEO keyword research, long-tail discovery, and entity mapping.

This Twitter (X) scraping actor is designed to extract communities information: tweets, members, moderators, search for different communities, get communities tweets.

Scrape Amazon product detail by ASIN or URL — title, brand, price, list price & savings, rating breakdown, bullet points, variations, images, BSR and all-seller offers / buy-box. Bulk ASIN input, 20 marketplaces. No Amazon login or CAPTCHAs. Powered by ScrapeBadger. From $1.25/1K products.

Scrape Amazon search results by keyword, browse a category node, or get keyword autocomplete suggestions. Returns ASIN, title, price, rating, Prime & badges across 20 marketplaces with auto-pagination and price/sort filters. No login or CAPTCHAs. From $0.08/1K results.

Scrape Google Shopping at scale: product titles, prices, ratings, reviews, thumbnails, merchant source, delivery, on-sale tags, and native Google IDs (gpcid / product_id) ready to pipe into product-detail enrichment.

Scrape Google Maps at scale: search places by keyword or location, fetch full place details (hours, contact, rating breakdown, popular times), reviews with topic filters, photos, and place posts. 200+ country domains, GPS + business-type targeting. No CAPTCHAs — handled by ScrapeBadger.

Ask ChatGPT any prompt at scale and get the answer, its markdown, every citation and the source domains behind it as structured JSON. Built for answer-engine optimisation, AI search monitoring and research.

Scrape Google Jobs at scale: structured job listings with title, company, location, salary, posted date, job type, schedule, apply links, qualifications and responsibilities. Two data sources — Google Careers RPC (fast, ~1-2s) for Google's own openings.

Scrape Google Maps photos at scale. Batch input: pass one or many place_ids / data_ids in a single run — no need to configure a separate task per place. Each photo is pushed as its own dataset record stamped with the source place_id. Cheapest photos-only actor on Apify.

Measure how often ChatGPT, Gemini and Perplexity mention your brand: mention count, first position, share of voice against named competitors, whether your domain is cited and at what rank. Answer-engine optimisation (AEO) tracking in one actor.

Scrape eBay sold and completed listings — the real transaction prices behind any keyword. Filter by category, condition and price range across every eBay domain. For resale pricing, market research and comps.

Reverse image search on Yandex — the strongest public engine for finding where a photo appears online. Give it an image URL and get the pages hosting it, visually similar images, other resolutions and Yandex's own tags.

Scrape public LinkedIn profiles by their public ID: headline, about, location, follower count, current company, full experience and education history, languages and awards. Also pulls public posts and articles.

Scrape Google Trends at scale: interest over time, interest by region, related topics & queries, trending-now searches with category/hours/status/sort filters, unified explore (TIMESERIES / GEO_MAP / RELATED_TOPICS / RELATED_QUERIES) and topic autocomplete.