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Bluesky Scraper icon

Bluesky Brand Monitoring: Track Mentions & Engagement

Social teams can see who's posting about a brand on Bluesky, with each post's author, like count, and repost count for real-time mention tracking.

Run this use case nowRun on Apify →

How it works

  1. 1
    Open it on Apify

    Hit Run on Apify — it opens the tool in the cloud, no install.

  2. 2
    Set the inputs

    Adjust searchQuery, authorHandles, maxItems (sensible defaults are pre-filled).

  3. 3
    Click Run

    The tool runs on Apify’s cloud and collects the data for you.

  4. 4
    Export the results

    Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Inputs

FieldWhat it doesType
searchQueryKeyword(s) to search Bluesky posts for (e.g. "artificial intelligence"). Leave empty if you instead want to scrape specific authors via Author handles.string
authorHandlesBluesky handles to scrape (e.g. bsky.app, jay.bsky.team). For each handle the actor returns the author's profile plus their recent posts. The leading @ is optioarray
maxItemsMaximum number of posts to return per search query or per author handle. Pagination follows the API cursor until this limit is reached.integer
notionConnectorOptional. Write each post as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors,string
notionParentIdOptional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your wostring

What you get

A structured dataset — each result includes fields like:

authorHandlesdetailssearchQuery

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.

More use cases for Bluesky Scraper

Scrape Multiple Bluesky Accounts: Posts + Profiles

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Bluesky Dataset by Keyword for Sentiment & NLP

Researchers collect thousands of keyword-matched Bluesky posts as a clean dataset for sentiment analysis, text labeling, and NLP model training.