Pricing

$1.00 / 1,000 apis/actors

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Apify Store Scraper

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Scrape Actors/APIs from Apify Store to extract titles, descriptions, stats (runs, builds, users over 7, 30, 90 days), images, and pricing information. Ideal for market research and performance analysis.

0.0 (0)

Pricing

$1.00 / 1,000 apis/actors

Total users

Monthly users

Runs succeeded

>99%

Last modified

9 months ago

Automation

Developer tools

You can access the Apify Store Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "categoryNames": ["all-categories"],
10    "sortBy": "ByRelevance",
11    "pricingModel": "all",
12    "managedBy": "all",
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("yourapiservice/apify-store-scraper").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21    print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Apify Store Scraper API in Python

The Apify API client for Python is the official library that allows you to use Apify Store Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Apify Store Scraper API in JavaScript

Apify Store Scraper API through CLI

Apify Store Scraper OpenAPI definition

Apify Store Scraper API

Apify Store Scraper

jupri/apify-store

Scrape Apify.com Store

cat

Apify Store Scraper API

louisdeconinck/apify-store-scraper-api

The Apify Store Scraper API allows you to extract detailed information about actors from the Apify Store, including actor details, pricing, metrics, categories, and user information.

Louis Deconinck

5.0

Apify public actor scraper

eloquent_mountain/apify-public-actor-scraper

Apify Store Actor Scraper Efficiently scrape comprehensive data from Apify Store actors using Selenium. Extracts key information such as URL, Title, Creator, Description, Users, and Stars

Paco

Apify Actors

prog-party/apify-actors

This Apify Actors Actor retrieves data from Apify, allowing to filter, and returns a list of actors as a Dataset.

Prog Party

Apify Scraper

dz_omar/apify-scraper

Extract actor data from the Apify Store, including pricing, stats, and user info. Supports multiple queries, filters, and crash-safe state persistence. 🧑‍💻 Open-source and ideal for research, analysis, and discovering tools.

Abdlhakim hefaia

5.0

Public Actors Lister

jancurn/public-actors-fetcher

Downloads a list of all Actors published in Apify Store, with all properties such as URL, title, description, etc. This is useful to create a knowledge file for a GPT, so that it knows which Actors can it use.

Jan Čurn

5.0

RapidAPI Scraper

louisdeconinck/rapidapi-scraper

Scrape detailed information about APIs from RapidAPI marketplace without the need for an account. Users can expect to receive comprehensive data about each API, including pricing, categories, and detailed descriptions.

Louis Deconinck

5.0

Apify To NotebookLM

flamboyant_leaf/apify-to-notebooklm

Save Apify datasets to Google Drive as shareable docs and analyze with NotebookLM. Creates a Google Doc (first 1MB) with your data and provides a shareable link. No setup required—just connect to your actor and get links for sharing or AI-powered analysis.

AIRabbit

Fox News Scraper

harvest/fox-news-scraper

Extracts the latest news articles from Fox News, categorized by different feeds (e.g., Latest, World News, Politics, Technology, etc.). The scraper returns structured data including article titles, links, publication dates, and content.