ApifyForge Actor Recommender
ApifyForge Actor Recommender matches your plain-English description to the best Apify actor from a catalog of scrapers and API tools across 10 categories. Results are ranked by keyword relevance, 30-day success rate, and user count, and the top 5 matches are returned with per-event pricing. No account required.
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How the ApifyForge Actor Recommender works
The ApifyForge Actor Recommender loads the full actor catalog from the Apify API and runs matching entirely in your browser. It tokenizes your query, removes stop words, and scores each of the curated actors using a weighted formula: title matches score 3x, category matches 2x, and description matches 1x. An exact-phrase bonus adds 5 points for title matches and 3 points for description matches.
After keyword scoring, ApifyForge adds reliability and popularity signals. The 30-day success rate (succeeded runs divided by total runs, as tracked by the Apify platform) contributes a 5x weight. User popularity uses a log-scaled count with a 3x weight, so an actor with 10,000 users scores higher than one with 100, but the difference is logarithmic rather than linear. The top 5 results are displayed with success rate, total users, total runs, and per-event pricing.
- Type your use case in plain English (e.g., "scrape Google Maps for business emails")
- ApifyForge tokenizes your query and scores curated actors in your browser
- Results appear ranked by relevance, reliability, and popularity with pricing
ApifyForge scoring breakdown
Each actor receives a composite score from three weighted factors. Keyword relevance dominates so that the most topically relevant actor always ranks first, while reliability and popularity act as tiebreakers.
| Factor | Weight | Source | What it measures |
|---|---|---|---|
| Keyword relevance | 10x | Title (3x), category (2x), description (1x) + exact-phrase bonus | How closely the actor matches your query |
| 30-day success rate | 5x | Apify platform stats | Succeeded runs / total runs over last 30 days |
| User popularity | 3x | Log-scaled total user count from Apify Store | How many users have run the actor |
ApifyForge Recommender vs other actor discovery methods
There are several ways to find the right Apify actor. The table below compares ApifyForge Actor Recommender with the Apify Store search, the Apify API, and manual browsing.
| Feature | ApifyForge Recommender | Apify Store search | Apify API query | Manual browsing |
|---|---|---|---|---|
| Catalog size | curated catalogue | 3,000+ community | 3,000+ (full access) | Varies by category |
| Natural-language input | Yes | Keyword only | No (structured params) | No |
| Reliability scoring | 30-day success rate, weighted | Not shown in results | Raw stats available | Must check each actor |
| Pricing in results | Per-event price shown | Free/paid badge | Available via API | Must visit each page |
| Side-by-side comparisons | 44 dedicated pages | No | No | No |
| Account required | No | No | Yes (API token) | No |
| Cost | Free | Free | Free (within rate limits) | Free |
Limitations
- ApifyForge indexes curated actors, not the full Apify Store catalog of 3,000+. If the actor you need is outside this subset, search the Store directly.
- Matching is keyword-based, not semantic. Queries like "find decision-makers at SaaS companies" work best when rephrased as "B2B lead generation email enrichment".
- Success rate data reflects the last 30 days and may not represent long-term reliability. An actor with 99% success rate over 10 runs is less statistically meaningful than 99% over 10,000 runs.
- Pricing shown is the primary per-event cost. Some actors have additional compute costs (memory and timeout) billed separately by Apify.
- The recommender runs entirely client-side. On slow connections, the initial catalog load (curated actor records) may take 2-3 seconds.
Frequently asked questions
How does the ApifyForge Actor Recommender work?
The ApifyForge Actor Recommender uses client-side keyword matching against a catalog of Apify actors. It tokenizes your plain-English query, scores each actor by title match (3x weight), description match (1x), and category match (2x), then adds an exact-phrase bonus. Results are ranked by a composite of keyword relevance (10x), 30-day success rate (5x), and log-scaled user popularity (3x). The top 5 results are returned with pricing, success rate, and user count.
Which Apify actor should I use for lead generation?
For email finding from websites, ApifyForge recommends Website Contact Scraper ($0.15 per 100 sites). For B2B enrichment, Waterfall Contact Enrichment combines 3 data sources at $0.05 per contact. For Google Maps leads, Google Maps Email Extractor finds business emails at $0.25 per 100 results. Use the ApifyForge recommender to compare these options based on your specific use case.
How many actors does ApifyForge index?
ApifyForge indexes Apify actors across 10 categories: Lead Generation, SEO Tools, Ecommerce, Social Media, AI, Developer Tools, Automation, Jobs, News, and Travel. The catalog is refreshed regularly from Apify Store data via the Apify API.
Does the ApifyForge Actor Recommender require an account?
No. The ApifyForge Actor Recommender requires no account and runs entirely in your browser — no server calls are made after the initial actor catalog load. The actors it recommends have their own pricing, typically $0.01 to $0.50 per event, displayed alongside each result.
What is the difference between ApifyForge and the Apify Store?
The Apify Store lists 3,000+ community actors. ApifyForge indexes a curated subset of curated actors and adds features the Store does not offer: natural-language search, 44 side-by-side comparisons, quality scores based on 30-day success rates, and category-level recommendations. ApifyForge is an independent project, not an official Apify product.
Can I compare actors before choosing one?
Yes. After the recommender returns results, you can view each actor on Apify for full documentation. For detailed side-by-side comparisons, ApifyForge offers 44 dedicated comparison pages covering web scraping, lead generation, SEO, ecommerce, and social media categories with pricing, success rates, and feature breakdowns.
Last updated March 27, 2026