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Build a Bluesky dataset for social research

For researchers who need a corpus rather than a feed. Pass a list of public handles and get one flat table — post text, author handle, DID, display name, ISO timestamps and BCP-47 language codes — ready for pandas, a vector store or an annotation tool. Handles that do not resolve return an error row instead of breaking the run.

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Bluesky Posts Scraper 🦋 Any Account, No Login
Bluesky Posts Scraper 🦋 Any Account, No Logincleanfeed/bluesky-posts-extractor
Success
Source account
Author handle
Post text
+6 fields
Text
Number
Boolean
List
Object

Input

Accounts(required):nature.com+3
Max posts per account:50

Output fields

Success
Source account
Author handle
Post text
Created at
Likes
Reposts
Replies
Post URL
Error code

How it works

Sign up on Apify or log in

The Bluesky Posts Scraper 🦋 Any Account, No Login Actor is ready to run with the inputs already set for "Build a Bluesky dataset for social research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a Bluesky dataset for social research" task

The Bluesky Posts Scraper 🦋 Any Account, No Login Actor will start running based on the input automatically. You can also change all the input fields, like accounts and max posts per account, to match your specific use case.

Receive the "Build a Bluesky dataset for social research" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as success, source account, author handle, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build a Bluesky dataset for social research" task via API.

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Connect "Build a Bluesky dataset for social research" with 100+ integrations, or run it via API or MCP.

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