Bluesky Posts & Profiles Scraper

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Apify Actor that scrapes Bluesky via the public AT Protocol API. Search posts by query, fetch posts from specific authors, optionally enrich each post with Claude-powered sentiment / topic / entity / summary fields.

No Bluesky account required. The AT Protocol exposes public read endpoints at https://public.api.bsky.app — this Actor uses only those, so there's no auth setup beyond Apify itself.

What you get per scraped post

Every output item is a flat object with these fields (see src/types.ts for the full Zod schema):

{
"uri":"at://did:plc:abc.../app.bsky.feed.post/3kxyz",
"cid":"bafyrei...",
"url":"https://bsky.app/profile/alice.bsky.social/post/3kxyz",
"text":"Hello Bluesky! …",
"language":["en"],
"author_did":"did:plc:abc...",
"author_handle":"alice.bsky.social",
"author_display_name":"Alice",
"like_count":42,
"repost_count":7,
"reply_count":3,
"quote_count":1,
"created_at":"2026-05-10T12:00:00.000Z",
"indexed_at":"2026-05-10T12:00:01.000Z",
"is_reply":false,
"reply_root_uri":null,
"reply_parent_uri":null,
"has_media":true,
"has_external_link":false,
"has_video":false,
"embed_images":[{"url":"https://...","alt":"An orange sky"}],
"embed_external_url":null,
"embed_external_title":null,
"mentions":["did:plc:..."],
"links":["https://..."],
"hashtags":["atproto"],
"labels":[],
"semantic":{
"sentiment":"positive",
"topics":["climate","policy"],
"entities":[{"name":"COP30","kind":"event"}],
"summary":"Short auto-generated summary."
},
"source_mode":"search",
"source_query":"climate change",
"scraped_at":"2026-05-11T05:14:00.000Z"
}

semantic only appears when enrich_with_claude is on.

Modes

Mode search — by query

{
"mode":"search",
"search_query":"climate change OR climatechange",
"sort":"latest",
"language":"en",
"max_items":500
}

Uses app.bsky.feed.searchPosts under the hood. Supports OR, quoted phrases, and hashtag queries.

Mode author_feed — by user

{
"mode":"author_feed",
"actors":["bsky.app","atproto.com","alice.bsky.social"],
"author_filter":"posts_no_replies",
"max_items_per_actor":200,
"max_items":1000
}

Calls app.bsky.feed.getAuthorFeed once per actor in the list, with cursor-based pagination.

Optional: Claude enrichment

Toggle enrich_with_claude: true and provide an Anthropic API key. Each post then gets a semantic field added before being pushed to the dataset.

You choose which fields to compute (cheaper subsets cost less):

{
"enrich_with_claude":true,
"claude_api_key":"sk-ant-…",
"claude_model":"claude-haiku-4-5",
"enrichment_fields":{
"sentiment":true,
"topics":true,
"entities":false,
"summary":false
}
}

Posts are batched (10 per call) so you pay roughly $0.002 per 10 posts at Haiku 4.5 rates with sentiment + topics on.

If enrichment fails for any reason (rate limit, malformed model response, network), the batch falls through unchanged — the run never fails because of optional enrichment.

Local development

git clone https://github.com/<your-username>/apify-bluesky-scraper
cd apify-bluesky-scraper
npminstall
npm run build
npmtest# 27 unit tests, ~2s

Pushing to Apify Store

npminstall-g apify-cli
apify login # browser auth
apify push # uploads source + builds the Actor on Apify Cloud

After the build succeeds, open the Actor in Apify Console:

1. Fill in seoTitle and seoDescription (this is the main discoverability lever — see Apify Store guidance)
2. Set pricing model: PAY_PER_EVENT recommended at $0.003/post (matches the leading competitor's tier)
3. Publish under the Publication tab

Cost model (per Apify run)

The Bluesky public API has no documented hard rate limit but is empirically rate-friendly at ~100 requests/min from a single IP. The Actor's built-in retry+backoff handles 429s automatically.

Why this Actor

Bluesky has 30M+ users, the AT Protocol is open, but tooling lags — the leading scraper on Apify Store has fewer than 500 installs. This one is:

• Fully open — MIT licensed, every transform in src/transform.ts is auditable
• Test-covered — 27 unit tests with mocked Bluesky responses, no flaky integration suite
• LLM-ready — optional Claude enrichment makes posts useful for brand monitoring, sentiment dashboards, and RAG ingestion without an additional pipeline
• Cheap by default — pay-per-event pricing means small runs cost cents, not dollars

Project structure

.actor/
├── actor.json # Apify Actor metadata(categories, dataset views, memory limits)
├── input_schema.json # Console UI input form definition
└── Dockerfile # Apify Cloud build
src/
├── main.ts # Actor entry — orchestrates search/feed → transform → push
├── input.ts # Zod-validated Input schema mirroring input_schema.json
├── types.ts # ScrapedPost output schema
├── transform.ts # BskyPostView → ScrapedPost mapper(handles embeds, facets, reposts)
├── bluesky/
│ ├── client.ts # XRPC fetch client with retry+backoff and paginated iterators
│ └── types.ts # Bluesky response shapes
└── enrichment/
 └── claude.ts # Optional batched Claude enrichment
test/
├── fixtures.ts # Sample Bluesky responses(plain post, reply, image, link, mention, repost)
├── transform.test.ts # 12 tests
├── client.test.ts # 9 tests
└── input.test.ts # 6 tests

License

MIT — see LICENSE.