Discourse Forum Scraper
Extract topics and full post text from any Discourse forum. Clean plain-text output for LLM training, RAG corpora and community research.
1 users/m View on Apify
14%
users
Apify builder
Neil Sangwaiya
@bindler $$$$$ Revenue rank #2,839 ↑ +485
I build scrapers and data pipelines that return clean, structured output.
Leaderboard position
out of 6,961
New actors
#342
Total actors
#1,284
↓ -80
Monthly users
#1,732
↓ -96
Total users
#3,005
↓ -109
Monthly runs
#2,495
↑ +2,551
Total runs
#4,922
↑ +712
Portfolio stats
New actors
7
Total actors
7
+0
Monthly users
7
+0
Total users
14
+0
Monthly runs
89
↑ +64
Total runs
106
↑ +69
New actors
Actors published by day
Each bar shows one day in the last 30 days.
Aug 25 Sep 23
Portfolio concentration
Actors driving most users
6 of 7 actors cover 80%+ of monthly users.
Documentation Site Scraper
Scrape any documentation site to clean markdown. Works on Docusaurus, Mintlify, GitBook, MkDocs, ReadTheDocs and more. Preserves code blocks for RAG and LLM training.
1 users/m View on Apify
14%
users
GitHub Repo to RAG
Turn any public GitHub repository into a clean dataset of code and documentation files. One download, no API token, no rate limits. Built for AI coding assistants and RAG.
1 users/m View on Apify
14%
users
HTML Table Extractor
Extract every table from any web page into clean rows, JSON and markdown. Correctly handles colspan, rowspan and stacked headers that break other extractors.
1 users/m View on Apify
14%
users
PDF to Markdown for RAG
Convert PDFs to clean markdown with real reading order. Handles two-column layouts, detects headings and paragraphs. Built for RAG pipelines and LLM ingestion.
1 users/m View on Apify
14%
users
WordPress Content Scraper
Scrape posts, pages and content from any WordPress site via the REST API. Clean plain text with authors, categories and tags, ready for LLM training and RAG.
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.