Overview
Reveal pricing, MAU and last update on Apify actor card.
Apify Stats by ParseBird reveals key metrics on every actor card in the Apify Store — so you can compare actors at a glance without clicking into each one. Features: • Pricing at a glance — See the cost per 1,000 results (e.g. $4/1K), monthly subscription price, or "PPU" for pay-per-usage actors, right on the card • Monthly Active Users (MAU) — Instantly see how popular each actor is by its 30-day active user count • Last update — Know how recently each actor was modified, displayed as relative time (e.g. "3 hours ago", "5 days ago") • Bookmark actors — Save any actor with one click and access them all from your personal dashboard • Dashboard — Click the extension icon to view your bookmarked actors, filter by pricing type, sort by name/MAU/date, and search by name — all with affiliate-free direct links to Apify • One-click ON/OFF toggle — Toggle stats on or off from the dashboard; Apify tabs refresh automatically • Lightweight — No tracking, no data collection, no account required • Works on apify.com/store, apify.com/store/categories, and all Apify Store listing pages • Supports both light and dark themes • Opens the dashboard on first install so you can get started right away Who is this for: • Apify users comparing web scraping and automation tools • Developers evaluating actors by cost, popularity, and freshness • Teams selecting the best actor for a project without opening dozens of tabs
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Details
- Version1.1.0
- UpdatedApril 15, 2026
- Size137KiB
- LanguagesEnglish
- DeveloperWebsite
Email
support@emailbuttons.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes