This document outlines the functionality and characteristics of the Bluesky Scraper node, which enables collecting posts from Bluesky, the decentralized social media platform.

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Node Inputs

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Required Fields

  • Scrape Type: Choose how to collect posts from Bluesky
    • Custom Feed: Collect posts from a specific custom feed
    • Author: Collect posts from a specific Bluesky user
    • Search Query: Collect posts matching search keywords

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Type-Specific Required Inputs

Depending on your selected Scrape Type, one of these fields will be required:
  • Query: Keywords or phrases to search for (when using Search Query type)
    • Example: “artificial intelligence” or “climate solutions”
  • Author Handle: Username of a specific Bluesky user (when using Author type)
    • Example: “bsky.app” or “@bsky.app”
  • Custom Feed URI: URI of a custom Bluesky feed (when using Custom Feed type)
    • Example format: at://did:plc:xyz/app.bsky.feed.generator/feedname
    • Note: You can find this URI by viewing the feed details on Bluesky

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Optional Fields

  • Number of Posts: Limit the quantity of posts to retrieve
    • Higher numbers may increase processing time
    • Leave blank to use default value (25)
  • Date Filtering Options:
    • Use Dates?: Toggle to enable/disable date filtering
    • Date Range: Quick selection for common time periods
      • Options include “Last 24 hours”, “Last week”, “Last month”, etc.
    • Use Exact Dates?: Toggle for precise timestamp filtering
      • Start Date (UTC): Beginning of custom date range
      • End Date (UTC): End of custom date range

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Show As Input

You can configure certain parameters as dynamic inputs in the “Configure Inputs” section:
  • scrape_type: String
    • Accepted values: “Custom Feed”, “Author”, “Search Query”
    • Dynamically choose scraping method from previous nodes
  • query: String
    • Search term when using Search Query type
    • Example: “climate change innovation”
  • author: String
    • Author handle when using Author type
    • Example: “bsky.app”
  • feed_uri: String
    • Custom feed URI when using Custom Feed type
    • Example: “at://did:plc:abc123/app.bsky.feed.generator/feedname”
  • num_posts: Number
    • Maximum number of posts to retrieve
    • Example: 50
When enabled as inputs, these parameters can be dynamically set by previous nodes in your workflow. If not enabled, the values set in the node configuration will be used.

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Node Output

The Bluesky Scraper node produces the following outputs:
  • Post Text: Content of each post (as List of text)
  • Post URLs: Direct links to each post (as List of text)
  • Author Handles: Usernames of post authors (as List of text)
  • Like Counts: Number of likes per post (as List of text)
  • Repost Counts: Number of reposts per post (as List of text)

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Node Functionality

The Bluesky Scraper node collects posts from the Bluesky platform using various criteria, enabling social media monitoring, content analysis, and trend tracking.

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Key Features

  • Flexible data collection from multiple sources (feeds, authors, or search queries)
  • Date filtering for targeted time periods
  • Multiple output options for comprehensive data analysis
  • Loop Mode support for processing collected posts

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When To Use

The Bluesky Scraper node is particularly valuable in scenarios requiring social media data collection and analysis. Common use cases include:
  • Social Listening: Monitor conversations about your brand or industry
  • Competitive Analysis: Track competitor activity and engagement
  • Content Research: Gather posts on specific topics for research
  • Trend Analysis: Identify emerging trends and discussions
  • Author Tracking: Monitor specific users’ posts and engagement
  • Feed Monitoring: Follow custom feeds for relevant content

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Example Workflows

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1. Brand Monitoring

Bluesky Scraper → Categorizer → Slack Message Sender
Setup:
  • Scrape Type: Search Query
  • Query: “your company name”
  • Use Dates?: Yes
  • Date Range: Last 24 hours
  • Configure categorizer to classify sentiment Purpose: Monitor brand mentions and send daily reports via Slack

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2. Competitive Intelligence

Bluesky Scraper → Ask AI → Google Sheets Writer
Setup:
  • Scrape Type: Author
  • Author Handle: “competitor_handle”
  • Number of Posts: 100 Purpose: Analyze competitor posts and summarize their messaging strategy

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3. Topic Research

Bluesky Scraper → Extract Data → CSV Writer
Setup:
  • Scrape Type: Search Query
  • Query: “industry keyword”
  • Use Dates?: Yes
  • Date Range: Last month Purpose: Gather posts about specific industry topics for research

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4. Multi-Author Analysis

Google Sheets Reader → Bluesky Scraper (Loop Mode) → Ask AI → Airtable Writer
Setup:
  • Google Sheet with list of author handles
  • Scrape Type: Author (connected to sheet output)
  • Loop Mode enabled Purpose: Analyze content patterns across multiple authors

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5. Custom Feed Dashboard

Bluesky Scraper → Summarizer → Notion Page Writer
Setup:
  • Scrape Type: Custom Feed
  • Custom Feed URI: Your selected feed URI
  • Number of Posts: 50 Purpose: Create a regular digest of important content from custom feeds

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Loop Mode Pattern

In Loop Mode, the Bluesky Scraper node can process multiple queries, authors, or feeds in sequence: 
Input: [query1, query2, query3]
Process: Scrape posts for each query
Output: Lists of posts for each query
This pattern is particularly useful for:
  • Monitoring multiple keywords
  • Tracking several competitors
  • Processing different custom feeds

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Important Considerations

In summary, the Bluesky Scraper node provides powerful capabilities for collecting and analyzing content from the Bluesky platform, with flexible configuration options to suit a wide range of social media monitoring and analysis needs.