Scrape Mastodon with AI
Extract Mastodon toots, user profiles, instance data, and hashtag trends using Apify and Claude Code.
How scraped Mastodon data flows across your company
One scrape generates intelligence for every department — automatically
- → Find open-source community leads
- → Track developer tool discussions
- → Identify Mastodon influencers
- → Source privacy-conscious prospects
- → Open-source community engagement
- → Hashtag trend analysis
- → Developer content research
- → Cross-platform content strategy
- → Instance growth tracking
- → Community migration monitoring
- → Engagement benchmarking
- → Fediverse adoption trends
- → Developer profiles stored
- → Toot engagement indexed
- → Instance data catalogued
- → Source attribution tagged
- → Find open-source community leads
- → Track developer tool discussions
- → Identify Mastodon influencers
- → Source privacy-conscious prospects
- → Open-source community engagement
- → Hashtag trend analysis
- → Developer content research
- → Cross-platform content strategy
- → Instance growth tracking
- → Community migration monitoring
- → Engagement benchmarking
- → Fediverse adoption trends
- → Developer profiles stored
- → Toot engagement indexed
- → Instance data catalogued
- → Source attribution tagged
Cancel your Fedica subscription
Fedica
- × Subscription fees
- × Data locked in their dashboard
- × Per-seat pricing
- × Export limits
SoloStack + Claude Code
- ✓ Pay-per-use, no subscription
- ✓ Your data in your repo
- ✓ Zero vendor lock-in
- ✓ Unlimited exports
What this skill file teaches Claude
Drop one markdown file into your repo. Claude Code learns how to run this entire workflow.
Cross-Instance Scraping
Pull data from any public Mastodon instance — mastodon.social, fosstodon.org, hachyderm.io, and thousands more.
Toot Extraction
Extract toot text, media, CW tags, boosts, favorites, and reply threads.
Hashtag Monitoring
Track hashtags across multiple instances simultaneously — get the full fediverse picture.
Profile Data
Pull follower counts, bio, header images, pinned toots, and instance affiliation.
Instance Analytics
Extract instance-level stats — user count, active users, registration status, and rules.
pocesar/mastodon-scraper · ~$0.15 per 1,000 toots Build it with plain English
Tell Claude Code what to do. It handles the rest.
Scraping #buildinpublic + #indiehacker across 5 instances... ✓ 2,341 toots collected ✓ 890 unique authors ✓ Top instance: mastodon.social (1,234 toots) ✓ Peak discussion: Monday-Wednesday ✓ Most boosted: open-source launch announcement (456 boosts) Data saved to mastodon-buildinpublic.json
Extracting toots from 30 devs on Fosstodon... ✓ 30 profiles scraped ✓ 4,567 toots this month ✓ Average favorites: 23 per toot ✓ Top languages: Rust, TypeScript, Python ✓ Most discussed: AI tooling, new frameworks Data saved to mastodon-fosstodon-devs.json
Analyzing instance activity across tech communities... ✓ 50 instances surveyed ✓ Top tech instances: hachyderm.io (45K active), fosstodon.org (38K), mastodon.social (280K total) ✓ Fastest growing: hachyderm.io (+12% MoM) ✓ Most engaged: fosstodon.org (highest favorites/toot ratio) Instance report saved to mastodon-instances.json
What you can build with this
Open-source community intelligence
Mastodon is where open-source developers hang out. Scrape Fosstodon, Hachyderm, and tech instances to find potential users, contributors, and advocates for your tools.
Privacy-focused audience research
Mastodon users tend to be privacy-conscious tech professionals — a valuable demographic. Understand their preferences and pain points for targeted messaging.
Decentralized trend monitoring
Track hashtags across the entire fediverse. Unlike centralized platforms, trends on Mastodon reflect genuine community interest, not algorithmic amplification.
Instance-level market sizing
Analyze instance user counts, activity levels, and growth rates to identify which communities are gaining momentum in your industry.
Things to know
Each Mastodon instance has its own API rate limits (typically 300 req/5min). When scraping across many instances, distribute requests to avoid hitting individual instance limits.
Instance operators can block scraping. Some instances have strict rules against automated access. Check instance rules before scraping.
Mastodon supports content warnings (CW). Posts behind CW tags still contain data but may be sensitive. Handle CW content appropriately.
Get the full skill file
Everything above is 80% of the skill file. Download the complete version with full implementation details, agent prompts, and ready-to-run scripts.
Common questions
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