Apify builder

Muhammad Afzal

@muhammadafzal

Leaderboard position

out of 4,039

New actors

#233

↓ -68

Total actors

#381

↑ +35

Monthly users

#1,171

↓ -261

Total users

#1,528

↑ +16

Monthly runs

#1,452

↓ -182

Total runs

#2,120

↓ -66

Portfolio stats

New actors

5

↓ -1

Total actors

15

↑ +5

Monthly users

7

↓ -3

Total users

41

↑ +11

Monthly runs

113

↓ -6

Total runs

344

↑ +85

New actors

Actors published by day

Each bar shows one day in the last 30 days.

May 21 Jun 19

Portfolio concentration

Actors driving most users

4 of 15 actors cover 80%+ of monthly users.

📰 Extract Google News Articles — AI & RAG Ready

Extract Google News articles by keyword, topic, or URL with full-text extraction for AI/RAG pipelines. Get headlines, sources, snippets, images, authors, and clean article text in structured JSON. Export scraped data, run the scraper via API, or integrate with other tools.

3 users/m View on Apify

43%

users

🔧 USA Plumbers Scraper — Leads with Phone, Address & Website

Scrape USA plumbing businesses from Google Maps. Returns business name, phone, address, website, rating, reviews & hours. CRM-ready JSON. No login needed.

1 users/m View on Apify

14%

users

AutoScout24 Car Listings Scraper — Prices, Specs & Details

Scrape car listings from AutoScout24 across European markets. Extracts make, model, price, mileage, fuel type, transmission, power, equipment, seller info, and photos into structured JSON. Built for AI agents and LLM pipelines.

1 users/m View on Apify

14%

users

Craigslist Scraper — Extract Listings, Prices & Locations

Scrape Craigslist for classified listings across cities and categories. Extract titles, prices, locations, dates, descriptions, and images. Search by keyword across multiple categories in a single run. Residential proxy included for reliable scraping — no manual proxy setup needed.

1 users/m View on Apify

14%

users

ActorHunt MCP

Feed your AI agent workflows with better Apify Store data.

ActorHunt gives paid members MCP access to keyword data, actor evidence, and Store movement for deciding what to build next.