Apify builder
FalconScrape Production-ready scraping actors for news, jobs, ecommerce and lead generation.
Leaderboard position
out of 8,902
New actors
#5
↑ +55
Total actors
#31
↑ +12
Monthly users
#22
↑ +56
Total users
#56
↑ +19
Monthly runs
#99
↑ +55
Total runs
#173
↑ +20
Portfolio stats
New actors
119
↑ +69
Total actors
389
↑ +155
Monthly users
4,511
↑ +3,296
Total users
21K
↑ +8,061
Monthly runs
155.5K
↑ +99.7K
Total runs
608.1K
↑ +173.2K
New actors
Each bar shows one day in the last 30 days.
Portfolio concentration
29 of 389 actors cover 80%+ of monthly users.
The AliExpress Product Details Scraper extracts full product data from any AliExpress product URL — every variant with its price and stock, discounts, ratings, sales, shipping options andseller details — ideal for dropshipping, price monitoring and sourcing.
59%
users
The LinkedIn Job Details Scraper extracts job data from LinkedIn job detail URLs, capturing job titles, company names, logos, locations, posting times, descriptions, number of applicants, job criteria, similar jobs, and related job listings—ideal for recruitment insights and job market analysis.
2%
users
The Mercado Libre Listings Scraper extracts product listings across all 18 LATAM Mercado Libre sites, capturing titles, prices, discounts, sellers, shipping, ratings, attributes, and full detail pages — ideal for price monitoring, market research, and catalog enrichment.
2%
users
The AliExpress Listings Scraper extracts product data from AliExpress search URLs, capturing images, titles, prices, stock status, and store details—ideal for market research, price tracking, and competitor analysis.
2%
users
The Ozon Listings Scraper extracts products from Ozon.ru categories, searches and product pages — prices, discounts, stock, ratings, reviews, sellers, variants, characteristics and images — ideal for price monitoring, competitor research and catalogue building on theRussian marketplace.
1%
users
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.
1%
users
Scrape Fiverr search results and gig pages: titles, sellers, ratings, prices, plus full Basic/Standard/Premium package comparison with delivery times, revisions, features and paid extras.
<1%
users
The Alibaba Listings Scraper extracts paginated product results from Alibaba based on a search query, capturing product titles, prices, images, URLs, discounts, delivery estimates, ratings, and reviews—ideal for market research and supplier analysis.
<1%
users
The LinkedIn Company Jobs Scraper extracts every open role at named companies worldwide, capturing job titles, locations, posted dates, salaries, seniority, and applicant counts, plus each company’s industry, size, followers, and website — ideal for recruitment and sales prospecting.
<1%
users
Scrape 1688.com (Alibaba's domestic-China B2B marketplace) wholesale products by keyword or offer ID. Filter by price, MOQ and supplier city. Get tiered prices, orders and 30-day sales, supplier rating with service scores, factory inspection, manufacturer vs wholesaler, attributes and images.
<1%
users
Extract business leads from the Better Business Bureau (BBB): names, ratings, accreditation, phones, addresses and categories. Search many keywords across many cities or ZIP codes in one run, with duplicates removed.
<1%
users
Finds decision makers (CEO, CTO, VP, etc.) at target companies using public LinkedIn data. Extracts names, titles, locations, education, and company details with confidence scoring. Ideal for sales prospecting, lead generation, and recruitment research.
<1%
users
The Flipkart Listings Scraper extracts product data from Flipkart by search query, category URL, or product URL — capturing prices, MRPs, discounts, ratings histograms, key specs, images, availability, and warranty — ideal for price monitoring, catalog tracking, and market research.
<1%
users
The Amazon Today's Deals Scraper efficiently extracts product listings from Amazon's Today's Deals page, capturing previous and current prices, price changes, titles, images, and product links. Ideal for price tracking, deal monitoring, and e-commerce analysis.
<1%
users
The Coupang Listings Scraper extracts product listings from Coupang.com, capturing titles, sale and original prices, discount rates, ratings, review counts, Rocket delivery badges, rank, and ad flags — ideal for price monitoring, market research, and competitive analysis.
<1%
users
The OLX Listings Scraper extracts product listings from OLX marketplaces across Poland, Bulgaria, Romania, Portugal, and Ukraine, capturing titles, prices, seller details, photos, and location — ideal for price monitoring and second-hand market analysis.
<1%
users
Give it any company URL - it finds the career page, detects the ATS and pulls every open role from the source: Greenhouse, Lever, Ashby, Workday, Oracle HCM, SmartRecruiters, Workable. 33 fields with the real apply URL, posting date and filters, plus AI-extracted skills and salary.
<1%
users
Extracts full product data from any Alibaba product URL — quantity price tiers, every variant with its price and stock, MOQ, lead times, specifications, certifications and the supplier's trade history — for sourcing, supplier vetting and price monitoring.
<1%
users
The Clutch.co Listings Scraper extracts paginated business data from Clutch.co URLs, capturing company titles, logos, hourly rates, reviews, ratings, and offered services—ideal for market research and competitor analysis.
<1%
users
The X (Twitter) Video Transcript Scraper turns posted videos into searchable text, capturing full AI transcripts with timestamps and detected language, plus author, handle, post text, publish date, likes, replies and view count — ideal for content research, competitor analysis and AI pipelines.
<1%
users
ActorHunt MCP
ActorHunt gives paid members MCP access to keyword data, actor evidence, and Store movement for deciding what to build next.
