Monitors your Apify account actor performance. Takes daily snapshots, computes diffs, and delivers an HTML report via email.
2
Users / 90d
1
Runs / 30d
โ
Rating
Updated 15 Sept 2026
Apify builder
@thenetaji
Leaderboard position
out of 6,249
New Actors / 90d
#49
Total Actors
#82
Active users / 90d
#114
Total users
#112
Runs / 30d
#109
Total runs
#151
Portfolio stats
New Actors / 90d
134
Total Actors
163
Active users / 90d
1.9K
+394 since first snapshot
Total users
8.9K
Runs / 30d
136.3K
+27.5K since first snapshot
Total runs
800.6K
Portfolio history
Daily publishing
134
Each bar represents one UTC day.
Actor portfolio
163 matching of 163 Actors ยท page 3 of 7
Monitors your Apify account actor performance. Takes daily snapshots, computes diffs, and delivers an HTML report via email.
2
Users / 90d
1
Runs / 30d
โ
Rating
Fetch full public LinkedIn company page details โ industry, size, headquarters, specialties, similar and affiliated pages, and recent updates โ for one or more company handles or URLs.
2
Users / 90d
29
Runs / 30d
Search TikTok Shop for any keyword and export what sells. Every result carries its title, image, price, star rating, units sold, seller, and variants โ with the shops matching your keyword collected alongside. Turn on product details to add the full page to each row.
2
Users / 90d
36
Runs / 30d
The TikTok Video Downloader allows fast, high-quality downloads of TikTok videos without needing an account and without any watermarks. Ideal for content creators, it offers a user-friendly interface and simultaneous downloads with batch download support. Try now!
1
Users / 90d
39
Runs / 30d
Both halves of Walmart in one Actor. Search by keyword to export the products a term returns, or paste product links to read those pages in full. Pick the mode, fill in that section, and every row comes back as the same structured record.
1
Users / 90d
39
Runs / 30d
Scrape Lidl !!
1
Users / 90d
31
Runs / 30d
Scrape waitrose for a cheap price!!
1
Users / 90d
30
Runs / 30d
Read a 2GIS organisation in full from its id: the phone numbers, websites and email addresses a search row never carries, plus the street address with its city, coordinates, every category, opening hours, the chain it belongs to and 2GIS's own structured attributes.
1
Users / 90d
14
Runs / 30d
Export a 2GIS business's written reviews with the stars, full text, both dates, the reviewer's name and review count, the photo count and the business's own reply. Each row names which source it came from, because 2GIS aggregates Flamp, Booking and others under one listing.
1
Users / 90d
11
Runs / 30d
Both 2GIS datasets behind one mode picker: search 206 cities for businesses by name or category, or export a business's written reviews. Search rows carry a flag saying whether 2GIS matched your query at all; review rows name which source each review came from.
1
Users / 90d
14
Runs / 30d
Search 206 cities across Russia, the CIS, the Gulf, Czechia, Italy and Chile for businesses by name or category. Rows carry the address, coordinates, categories, opening hours and ratings โ and a flag on every one saying whether 2GIS matched your query or quietly returned something else.
1
Users / 90d
11
Runs / 30d
Pull a competitor's video ads from the Meta, Google, TikTok, and LinkedIn ad libraries and take each one apart: a word-timed transcript, the cut list, and a structured teardown of the hook, offer, call to action, and claims โ then one summary row showing what recurs across the whole batch.
1
Users / 90d
15
Runs / 30d
Export an Airbnb stay's booking calendar night by night. Paste one room link or a list and get up to a year of dates, each marked free or taken, with whether a stay can start or end on it and the minimum and maximum nights the host allows.
1
Users / 90d
28
Runs / 30d
Export every review on an Airbnb stay. Paste one room link or a list and each review comes back with its full text, star rating, the reviewer's name and country, the host's reply, and the exact date it was posted โ not the '3 days ago' the page shows.
1
Users / 90d
28
Runs / 30d
Search Airbnb anywhere and export every stay it returns. Set dates and guest counts and each row comes back priced for that trip, with the rating, review count, coordinates and photos. Turn on stay details to add amenities, the host and per-category scores.
1
Users / 90d
27
Runs / 30d
Give it numeric App Store IDs or apps.apple.com links. Get one app row per match with developer, ratings, price, version, release notes, genres, languages, supported devices, artwork, screenshots, and storefront links.
1
Users / 90d
2
Runs / 30d
Every App Store dataset behind one mode picker: the full catalog record for an app ID or link, ranked keyword search, a publisher's portfolio, recent public reviews, or the US top-free chart. Each mode takes its own input and returns that dataset's fields.
1
Users / 90d
22
Runs / 30d
Search a country storefront by keyword and export ranked apps with full metadata. Every row includes its app and developer IDs, ratings, price, version, release notes, genres, artwork, screenshots, and source query.
1
Users / 90d
20
Runs / 30d
Export any Avito city-category โ cars, flats, phones โ as rows with the title, the price as a number and as Avito writes it, the address and map coordinates, the photos, the seller's name and rating, and Avito's own attribute line. Repeated listings are dropped as the walk goes.
1
Users / 90d
11
Runs / 30d
Get any Booking.com property by its URL or slug: guest score with the full subscore breakdown, address, description, lead photo, and up to ten featured guest reviews. No Booking.com account needed.
1
Users / 90d
22
Runs / 30d
Search Booking.com by destination and export every property returned: coordinates, address, star rating, guest review score, description, photo, and paid-placement markers. Add check-in/check-out dates for real per-stay prices.
1
Users / 90d
22
Runs / 30d
thenetaji/builtwith-technology-profile-scraper
0%
users
Turn website domains into technology profiles with current and historical detections, first and last seen dates, categories, product links, visibility counts, and the published monthly technology-spend estimate.
1
Users / 90d
26
Runs / 30d
Read a software product's Capterra profile from its page address: the vendor's full description, the aggregate rating and review count, supported platforms, Capterra's own category for it, and the product Q&A that the reviews page does not carry.
1
Users / 90d
20
Runs / 30d
Export a product's Capterra reviews with the headline, the overall comment, and pros and cons kept as separate answers. Every row names the reviewer's job title, industry and how long they used the product, with the per-criterion scores behind the stars.
1
Users / 90d
21
Runs / 30d
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