jlucasmcrell/apify-scrapers

Overview

Production scrapers and lead extractors for Google Maps, Glassdoor, Airbnb, SEC EDGAR, and public registries, built to run through the Apify API. Written in Python, the repository provides ready-to-use scraping logic for common data collection tasks.

Best for

Best for
Developers who need ready-made Apify scrapers for common public data sources without building from scratch.

Use cases

• Extract business leads from Google Maps
• Collect Glassdoor company reviews and ratings
• Pull SEC EDGAR filings or public registry records

How to use

Install

pip install apify-client pandas python-dotenv

Tested with

Claude Desktop, Cursor, ChatGPT

Notes

Production scrapers and lead extractors for Google Maps, Glassdoor, Airbnb, SEC EDGAR, and public registries, built to run through the Apify API. Written in Python, the repository provides ready-to-use scraping logic for common data collection tasks.

0 stars on GitHub. Last updated 2026-09-13. Licensed MIT.

Use cases

• Extract business leads from Google Maps
• Collect Glassdoor company reviews and ratings
• Pull SEC EDGAR filings or public registry records

Pros

• Covers multiple high-demand data sources in one repo
• Built for Apify, so deployment and scaling are handled externally
• Python makes it easy to modify or extend

Cons

• No GitHub stars, so community adoption and reliability are unverified
• Requires an Apify account and API usage costs
• Limited to Python and the Apify ecosystem

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.