Apify builder

Vagadro

@vagadro

Data engineer and automation builder focused on building automation tools.

Leaderboard position

out of 4,055

New actors

-

Total actors

#805

↓ -131

Monthly users

#1,056

↓ -105

Total users

#1,663

↓ -55

Monthly runs

#1,128

↓ -96

Total runs

#1,674

↑ +122

Portfolio stats

New actors

0

↓ -1

Total actors

5

+0

Monthly users

9

+0

Total users

32

↑ +6

Monthly runs

219

↑ +4

Total runs

610

↑ +223

New actors

Actors published by day

Each bar shows one day in the last 30 days.

May 22 Jun 20

Portfolio concentration

Actors driving most users

4 of 5 actors cover 80%+ of monthly users.

airbnb_property_prices_multi_dates

Track Airbnb nightly rates across custom date ranges. Enter any listing URL, start/end dates, and step interval to extract prices automatically. Outputs structured JSON ready for analysis. Ideal for revenue analysts and property managers.

2 users/m View on Apify

22%

users

booking_com_property_listings

Scrape Booking.com search results without an API. Extract property name, address, guest ratings, review count, price with currency, most popular facilities, and full description for every listing. Export as JSON or CSV. Proxy support included.

2 users/m View on Apify

22%

users

google_maps_lead_generator

Scrape any business type from Google Maps. Enter a search query like "restaurants in Noida"/"digital marketing in Cyber City" etc and extract business name, category, address, phone, website, rating, and review count instantly. No API key needed. Export as JSON or CSV.

2 users/m View on Apify

22%

users

Google_Reviews_Scrapper

The Google Reviews Scraper is a powerful Apify actor designed to automatically extract reviews, ratings, and reviewer data from Google Maps. It helps businesses, researchers, and marketers collect large volumes of review data quickly and reliably.

2 users/m View on Apify

22%

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.