Collect published contact emails from Facebook. Start with Facebook page URLs; each returned email record keeps email addresses, phone numbers, audience size, page names, and websites.
1
Users / 7d
28
Runs / 30d
—
Rating
Updated 1 Oct 2026
Apify builder
@reapx
Leaderboard position
out of 6,984
New Actors / 7d
#5283
Total Actors
#76
Active users / 7d
#228
Total users
#706
Runs / 30d
#484
Total runs
#221
Portfolio stats
New Actors / 7d
0
Total Actors
196
Active users / 7d
169
+1 since first snapshot
Total users
458
Runs / 30d
6K
+34 since first snapshot
Total runs
409.7K
Portfolio history
Daily publishing
0
Each bar represents one UTC day.
No new public Actors were detected during this 7-day window.
Actor portfolio
196 matching of 196 Actors · page 3 of 9
Collect published contact emails from Facebook. Start with Facebook page URLs; each returned email record keeps email addresses, phone numbers, audience size, page names, and websites.
1
Users / 7d
28
Runs / 30d
—
Rating
Keep Facebook event records in one working calendar file. Start with Facebook event URLs; each returned event keeps event identifiers, titles, start date text, responses count, and video views count.
1
Users / 7d
28
Runs / 30d
Map Facebook audiences for account research. Start with Facebook follower URLs; each returned follower keeps audience size, names, followers label, page identifiers, and source links.
1
Users / 7d
27
Runs / 30d
Compare Facebook Groups by identity and visible activity. Keep name, description, privacy state, membership, recent signals, and source URL in one working file.
1
Users / 7d
32
Runs / 30d
Keep Facebook search results in rows you can compare. Start with Facebook searches or result URLs; each returned search result keeps titles, authors, descriptions, position, and seller details.
1
Users / 7d
28
Runs / 30d
Collect Facebook videos and their publishing signals. Start with Facebook video URLs; each returned video keeps author names, reactions count, comment counts, shares count, and views count.
1
Users / 7d
30
Runs / 30d
Read Glassdoor reviews as a source-linked corpus. Start with Glassdoor review or listing URLs; each returned review keeps text, authors, ratings, titles, and review URL.
1
Users / 7d
28
Runs / 30d
Compare live listings on Goofish. Start with Goofish listing URLs; each returned listing keeps listing identifiers, titles, prices, price text, and price type.
1
Users / 7d
28
Runs / 30d
Study Google ads across brands and campaigns. Start with Google ad URLs; each returned ad keeps advertiser, advertiser name, advertiser ID, advertiser identifiers, and advertiser names.
1
Users / 7d
28
Runs / 30d
Compare flight options surfaced by Google. Start with Google flight URLs; each returned flight keeps date, departure date, prices, query, and origin city.
1
Users / 7d
28
Runs / 30d
Compare open roles on Google. Start with Google job URLs; each returned job keeps job identifiers, titles, companies, job URL, and locations.
1
Users / 7d
28
Runs / 30d
Build a lead file from Google Maps. Start with Google Maps page URLs; each returned lead keeps names, titles, addresses, phone numbers, and email addresses.
1
Users / 7d
88
Runs / 30d
Read Google Maps reviews as a corpus tied to the place that received them. Keep rating, text, author details, date fields, place identity, and source links together.
1
Users / 7d
28
Runs / 30d
Compare app listings and publisher details from Google Play. Start with Google Play app URLs; each returned app keeps offers iap price range, app identifiers, titles, developer email, and developer address.
1
Users / 7d
29
Runs / 30d
Compare Google Play apps, publishers, and listing details. Start with Google Play URLs; each returned record keeps titles, rating value, rating count, prices, and app identifiers.
1
Users / 7d
28
Runs / 30d
Read Google Play reviews as a source-linked corpus. Start with Google Play review or listing URLs; each returned review keeps review identifiers, user names, text, publication dates, and replied at.
1
Users / 7d
28
Runs / 30d
Compare Google products, offers, and identifiers. Start with Google product URLs; each returned product keeps product identifiers, titles, prices, price value, and list price.
1
Users / 7d
28
Runs / 30d
Compare returned Google Search prices. Start with Google Search product or listing URLs; each returned price record keeps prices, price value, list price, list price value, and titles.
1
Users / 7d
27
Runs / 30d
Study Instagram ads across brands and campaigns. Start with Instagram ad URLs; each returned ad keeps advertiser, ad body text, titles, ad ID, and text.
1
Users / 7d
27
Runs / 30d
Keep Instagram accounts and published activity in one structured export. Review profiles, posts, captions, dates, and engagement in the same dataset.
1
Users / 7d
31
Runs / 30d
Collect Instagram media records with source details. Start with Instagram media file URLs; each returned media file keeps titles, authors, handles, descriptions, and publication dates.
1
Users / 7d
28
Runs / 30d
Map Instagram audiences for account research. Start with Instagram follower URLs; each returned follower keeps followers, names, handles, source handles, and user identifiers.
1
Users / 7d
28
Runs / 30d
Follow an Instagram hashtag across the posts and accounts using it. Keep captions, creators, dates, media, engagement, and source links in the order returned.
1
Users / 7d
31
Runs / 30d
Collect short-form video records from Instagram. Start with Instagram short-video URLs; each returned short video keeps titles, authors, handles, descriptions, and publication dates.
1
Users / 7d
29
Runs / 30d
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