Apify builder
Blackcube Building reliable data-extraction actors on Apify.
Leaderboard position
out of 6,961
New actors
#12
↑ +12
Total actors
#62
↑ +112
Monthly users
#249
↑ +55
Total users
#681
↓ -208
Monthly runs
#478
↑ +142
Total runs
#952
↓ -330
Portfolio stats
New actors
105
↑ +13
Total actors
197
↑ +193
Monthly users
253
↑ +249
Total users
460
↑ +453
Monthly runs
5,242
↑ +5,213
Total runs
8,186
↑ +8,101
New actors
Each bar shows one day in the last 30 days.
Portfolio concentration
136 of 197 actors cover 80%+ of monthly users.
Used by brand teams, sellers and review-analysis pipelines tracking product sentiment. Amazon reviews scraper by ASIN or URL: rating, title, text, date, verified purchase, helpful votes, images. Checks 24 marketplaces, which each publish different reviews, and deduplicates. Failures are free.
8%
users
Paste LinkedIn job URLs or ids and get the full posting: description as text and HTML, seniority, employment type, function, industries, applicants, salary when stated. Closed jobs are free.
3%
users
Used by recruiters and hiring-signal pipelines that need job listings straight from the source. Career site job listing API across 14 ATS including Greenhouse, Lever, Ashby, Workday and Workable. Paste a company domain; it finds the board and returns every open role with salary and seniority.
2%
users
Find and qualify Shopify stores. Each lead carries the contact email, socials, country, currency, product and collection counts, theme, installed apps, price band, and the date the store last published a product - so you can tell a live brand from a dead one. Pay per store.
2%
users
Scrape LinkedIn Pulse articles by URL: title, summary, full body as text and HTML, cover, dates, reading time, exact like and comment counts, author with exact followers, newsletter. No login.
2%
users
Used by brand-monitoring teams, market researchers and AI pipelines that need Reddit at volume. Reddit scraper for posts, comments, subreddits, users and search in one flat table, with score and upvote ratio on every row. No API key, no login. Filters run before billing, so discarded rows are free.
2%
users
Build a contact sheet for every company on your list: the published business email, phone number and social profiles, deduplicated into one row per business. Several URLs for the same company collapse into a single row, so the CRM import stays clean.
1%
users
Scrape eBay trading card prices with the grade parsed out. Separate PSA, BGS, CGC and SGC slabs from raw cards automatically - grading company and grade are their own fields. Pokemon, sports, TCG. No login.
1%
users
One Actor instead of six. TripAdvisor, Trustpilot, Sitejabber, ResellerRatings, ConsumerAffairs and PissedConsumer, all read in a single run and returned in one schema, so nothing has to be merged afterwards. Re-runs bill only what is new. Failures are free.
<1%
users
Scrape every product in an Amazon category or browse node as list rows: ASIN, title, price, rating, sponsored flag and image, paged to the depth you set. Paste a category or browse-node URL and run. Turn on full details to enrich each row into a product. Failures are free.
<1%
users
Pull Amazon's Hot New Releases for any category as ranked rows: rank, ASIN, title, price, rating and image, all 100 across the two list pages. Point it at a New Releases URL and run. Turn on full details to enrich each row into a complete product. Failures are free.
<1%
users
Scrape Amazon star ratings by ASIN: average rating, total rating count and the full 1-5 star histogram, plus estimated counts per star that Amazon only shows as percentages. Covers every rating on the listing, not a sample. 24 marketplaces, each with its own distribution.
<1%
users
Read what consumers actually wrote about a company on Trustpilot, Sitejabber, ConsumerAffairs and PissedConsumer in one run and one schema, complaints included. Filter to one and two stars to get only the negative reviews. Re-runs bill only what is new. Failures are free.
<1%
users
Pull real customer feedback from Trustpilot for any company: what people praise, what they complain about, in their own words, with the star rating, the date, the reviewer's country and the company's reply. Filter by keyword or rating. Pay per review.
<1%
users
Pull a rival Etsy shop's listings and see exactly how they price, tag and position: price range and median, total favourites, bestseller count and their most-used SEO tags, plus every listing behind those numbers. Pay per listing, no run-start fee.
<1%
users
Every Etsy listing gets 13 tags and they are the biggest lever in Etsy search. This pulls all 13 from any listing, search term or shop, with the title, category path and favourite count beside them so you can see which tags are attached to what sells. Pay per listing.
<1%
users
Used by competitive-intelligence teams and performance agencies tracking rival creative. Facebook Ads Library scraper (Meta Ad Library) by keyword, advertiser or pasted URL, returning every creative including the dynamic and carousel variants others drop. Filtered and failed rows are free.
<1%
users
Google News as a JSON API. Query by keyword, topic, country or language and get back the real publisher URL for every article - not Google's encoded redirect. Optional full article text and author. No API key, no login. Pay per article, failed runs are free.
<1%
users
Used by social analysts, agencies and creator-tracking pipelines monitoring accounts at scale. Instagram posts scraper for posts, reels and carousels from any public profile: exact like, comment and play counts, captions, every media URL. No login, no cookies. Change-only re-runs; failures free.
<1%
users
Used by social analysts and agencies tracking accounts post by post. Instagram profile posts scraper: paste usernames for their newest posts, reels and carousels, newest first, with exact counts, captions, hashtags, media URLs, location and co-authors. Private profiles are free rows.
<1%
users
Used by recruiters, sales teams and hiring-signal pipelines tracking which companies are growing. LinkedIn company jobs scraper: every open role a company lists, up to the public cap of 1,000. Paste company slugs or URLs and the company id is resolved from its page. No login, no cookies.
<1%
users
Used by competitive-intel and social teams watching what rival companies post. LinkedIn company posts scraper returns the newest posts a company page shows publicly: full text, exact reaction and comment counts, media type, reshare origin and post URL. A page with no posts is free.
<1%
users
The recent public posts of LinkedIn members: full text, exact reaction and comment counts, media, reshare origin, the author. Read from the public profile, no login. About 7 in 10 profiles are shown.
<1%
users
Used by recruiters, sales teams and market researchers who need LinkedIn at volume. LinkedIn scraper for jobs, company pages, public posts with their top comments, and Pulse articles in one typed dataset. Exact employee, follower and reaction counts. No login, no cookies. Failures are free.
<1%
users
Read the sheets you cannot share with a link. Share the sheet once with your own Google service account, paste its JSON key, and internal spreadsheets become a typed dataset - same schema, same multi-tab handling, same change monitoring. Link-shared sheets work here with no credentials.
<1%
users
Find Shopify stores you do not already have URLs for, then qualify them in the same run. Filter by country, catalogue size, activity and keywords; every store that fails a filter is free. Each result carries contact details, store size, theme, apps, price band and currency.
<1%
users
Turn public crypto and trading channels into a structured feed. Every post carries its tickers, any wallet or contract addresses, sentiment, views and reactions. Built for backtesting and channel comparison, not for following calls. No Telegram account needed.
<1%
users
Search TikTok by keyword and get the videos it returns, each with exact play, like and comment counts, hashtags, sound and creator. No login. Charged per video delivered, never per search.
<1%
users
ActorHunt MCP
ActorHunt gives paid members MCP access to keyword data, actor evidence, and Store movement for deciding what to build next.
