Contact

If you encounter any issues or need to exchange information, please feel free to contact us through the following link: My profile

Bluesky User Posts Scraper: Extract Social Media Data for Analysis & Research

Introduction

Bluesky is a rapidly growing decentralized social media platform that has emerged as a significant player in the social networking landscape. As an alternative to traditional platforms, Bluesky offers unique features for open discourse and content sharing, attracting journalists, influencers, brands, and active communities across diverse topics.

For businesses conducting social media monitoring, brand analysis, competitive intelligence, or academic research, accessing structured Bluesky post data is essential. However, manually collecting posts and engagement metrics from user profiles is impractical when analyzing content trends, tracking brand mentions, or studying social media behavior patterns.

The Bluesky User Posts Scraper automates extraction of comprehensive post data from user profiles, enabling systematic collection of content, engagement metrics, and conversation threads for analysis and research purposes.

Scraper Overview

The Bluesky User Posts Scraper is a specialized tool designed to extract post-level data from Bluesky user profiles. It captures complete post content, engagement metrics, author information, embedded media, and reply threads.

Key capabilities include filtering by post type (with/without replies, media posts, video posts, author threads), configurable extraction limits, and bulk profile processing. The scraper serves social media analysts, brand managers, researchers, journalists, and marketing professionals who need structured access to Bluesky content data.

Input Configuration

Example url 1: https://bsky.app/profile/nbcnews.com

Example url 2: https://bsky.app/profile/iuculano.bsky.social

Example url 3: https://bsky.app/profile/mirror.co.uk

Example Screenshot of product information page:

Input Format

{
  "urls": [
    "https://bsky.app/profile/politico.com"
  ],
  "max_items_per_url": 100,
  "filter": "posts_with_replies",
  "ignore_url_failures": true,
  "max_retries_per_url": 2
}

The urls parameter: Add Bluesky profile URLs you want to scrape. Paste URLs individually or use bulk edit to add a prepared list. These should be direct profile links (e.g., https://bsky.app/profile/username).

The filter parameter: Filter posts by type:

• "posts_with_replies" - All posts including those with reply conversations
• "posts_no_replies" - Original posts without replies
• "posts_with_media" - Posts containing images, videos, or other media
• "posts_and_author_threads" - Posts and threaded content from the author
• "posts_with_video" - Video posts only

The max_items_per_url parameter: Limit posts extracted per profile (default: 20). Increase for comprehensive historical analysis or decrease for recent activity monitoring.

The ignore_url_failures parameter: If true, scraper continues even if some profiles fail after retries. Essential for batch processing multiple accounts.

The max_retries_per_url parameter: Number of retry attempts for failed requests (default: 2). Adjust based on connection stability needs.

Output Format

[
  {
  "uri": "at://did:plc:wmho6q2uiyktkam3jsvrms3s/app.bsky.feed.post/3miy5b4uq6z2i",
  "cid": "bafyreief5zp5376at2rybdyhyyas2tx7qm7arrbldo4xt6o7ud5w6davzy",
  "author": {
    "did": "did:plc:wmho6q2uiyktkam3jsvrms3s",
    "handle": "nbcnews.com",
    "display_name": "NBC News",
    "avatar": "https://cdn.bsky.app/img/avatar/plain/did:plc:wmho6q2uiyktkam3jsvrms3s/bafkreifjfoaox34dlcdm4dxje7x7awyyzqcw4jiv4x4i3lrxtyx63qdzru",
    "associated": {
      "activity_subscription": {
        "allow_subscriptions": "followers"
      }
    },
    "labels": [],
    "created_at": "2023-05-31T01:09:28.017Z",
    "verification": {
      "verifications": [
        {
          "issuer": "did:plc:z72i7hdynmk6r22z27h6tvur",
          "uri": "at://did:plc:z72i7hdynmk6r22z27h6tvur/app.bsky.graph.verification/3lndpvtksqg2l",
          "is_valid": true,
          "created_at": "2025-04-21T10:47:52.030Z"
        }
      ],
      "verified_status": "valid",
      "trusted_verifier_status": "valid"
    }
  },
  "record": {
    "$type": "app.bsky.feed.post",
    "created_at": "2026-04-08T11:00:18Z",
    "embed": {
      "$type": "app.bsky.embed.external",
      "external": {
        "description": "Police said the parents had walked away from the boy and appeared to be on their phones at the time of the attack.",
        "thumb": {
          "$type": "blob",
          "ref": {
            "$link": "bafkreidp3cuuvk3gzlv2xlurftmu6p53fvko3tacw4lqusfxmsuehfgu5a"
          },
          "mime_type": "image/jpeg",
          "size": 520465
        },
        "title": "Parents of toddler hurt by wolf at Zoo America charged with child endangerment",
        "uri": "https://nbcnews.to/4bYOP67"
      }
    },
    "text": "The parents of a toddler who suffered a minor injury at a Pennsylvania theme park zoo after squeezing through a fence near a wolf enclosure and making contact with one of the animals are charged with endangering the welfare of children, police say."
  },
  "embed": {
    "external": {
      "uri": "https://nbcnews.to/4bYOP67",
      "title": "Parents of toddler hurt by wolf at Zoo America charged with child endangerment",
      "description": "Police said the parents had walked away from the boy and appeared to be on their phones at the time of the attack.",
      "thumb": "https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:wmho6q2uiyktkam3jsvrms3s/bafkreidp3cuuvk3gzlv2xlurftmu6p53fvko3tacw4lqusfxmsuehfgu5a"
    },
    "$type": "app.bsky.embed.external#view"
  },
  "bookmark_count": 0,
  "reply_count": 2,
  "repost_count": 0,
  "like_count": 9,
  "quote_count": 0,
  "indexed_at": "2026-04-08T11:00:19.048Z",
  "labels": [],
  "replies": null,
  "from_url": "https://public.api.bsky.app/xrpc/app.bsky.feed.getAuthorFeed?actor=nbcnews.com&limit=50"
}
]

The scraper returns structured post data with each field providing specific analytical value:

• URI: Unique resource identifier for the post. Essential for tracking specific posts, building post databases, and referencing content.

• CID: Content identifier hash. Technical identifier for content verification and deduplication across scraping runs.

• Author: Post author information including username and profile details. Critical for author attribution, influence analysis, and building user networks.

• Record: Complete post record including text content, timestamps, and metadata. Core data containing the actual post content for text analysis, sentiment mining, and content categorization.

• Embed: Embedded content including images, videos, links, and quoted posts. Provides rich media context, enables visual content analysis, and tracks content sharing patterns.

• Bookmark Count: Number of times post was bookmarked. Indicates content value and user intent to revisit, useful for identifying high-value content.

• Reply Count: Number of replies to the post. Measures conversation engagement, topic resonance, and community interaction levels.

• Repost Count: Number of times post was shared/reposted. Key virality metric showing content amplification and reach extension.

• Like Count: Number of likes received. Primary engagement indicator measuring content approval and audience resonance.

• Quote Count: Times the post was quoted by others. Shows deeper engagement where users add commentary, indicating thought leadership.

• Indexed At: Timestamp when post was indexed by Bluesky. Enables temporal analysis, trending detection, and time-series studies.

• Labels: Content labels and moderation tags. Important for content classification, filtering sensitive material, and compliance monitoring.

• Replies: Full reply thread data. Provides conversation context, enables sentiment analysis of discussions, and reveals community dynamics.

Each field supports social listening, competitive analysis, influencer identification, trend detection, and audience research across Bluesky's growing user base.

Usage Guide

Setting Up Profile Extraction

Step 1: Identify Target Profiles

Navigate to Bluesky and identify profiles to monitor:

• Brand accounts for competitive intelligence
• Influencers for partnership evaluation
• News outlets for media monitoring
• Industry leaders for trend analysis
• Community accounts for audience research

Copy profile URLs from the address bar.

Step 2: Configure Filtering

Select appropriate filter based on research objectives:

• posts_with_replies - Comprehensive activity including conversations
• posts_no_replies - Clean content stream without noise
• posts_with_media - Visual content analysis
• posts_with_video - Video marketing research
• posts_and_author_threads - Complete narrative threads

Step 3: Set Extraction Volume

Configure max_items_per_url:

• 20-50 posts for recent activity snapshots
• 100-500 posts for monthly trend analysis
• 1000+ posts for historical research

Best Practices

Profile Selection:

• Organize URLs by category (competitors, influencers, partners)
• Verify profiles are active before large extractions
• Track profile handle changes over time
• Document profile selection criteria for reproducible research

Filter Strategy:

• Use posts_no_replies for clean content analysis
• Use posts_with_replies for engagement and sentiment analysis
• Use posts_with_media for visual content strategies
• Combine filters across multiple runs for comprehensive datasets

Data Quality:

• Verify extracted post counts match expectations
• Check timestamp ranges cover desired periods
• Validate engagement metrics for reasonableness
• Handle deleted or private posts gracefully

Use Case Specific Approaches:

Brand Monitoring:

• Extract competitor posts with media filter
• Track engagement patterns over time
• Identify content strategies that drive engagement
• Monitor posting frequency and timing

Influencer Research:

• Use posts_with_replies to assess community engagement
• Analyze reply sentiment and conversation quality
• Track quote counts for thought leadership indicators
• Measure reach through repost metrics

Content Strategy:

• Compare posts with/without replies for engagement drivers
• Analyze media posts for visual content performance
• Study thread structures for narrative techniques
• Identify optimal posting patterns

Trend Analysis:

• Track indexed_at timestamps for viral content timing
• Monitor reply/repost velocity for trending detection
• Analyze label patterns for topic classification
• Study embed types for content format trends

Common Troubleshooting

URL Issues:

• Verify profile URLs are correctly formatted
• Check for suspended or deleted accounts
• Ensure handles haven't changed
• Test URLs manually before bulk processing

Filtering Problems:

• Confirm filter selection matches data needs
• Verify filter returns expected post types
• Test different filters on sample profiles
• Check for empty results on restricted accounts

Volume Management:

• Adjust max_items for profile activity levels
• Handle rate limits with appropriate delays
• Process large profiles in batches
• Monitor extraction completion rates

Benefits and Applications

Social Media Monitoring: Track brand mentions, sentiment, and engagement across Bluesky. Monitor competitor activity, content strategies, and audience response patterns. Identify emerging trends and conversation topics in real-time.

Influencer Analysis: Evaluate potential partners through engagement metrics, content quality, and audience interaction patterns. Identify micro-influencers in niche communities. Track influencer performance over time.

Content Research: Analyze successful content formats, posting strategies, and engagement drivers. Study viral content patterns and conversation triggers. Benchmark content performance against competitors.

Audience Intelligence: Understand community dynamics through reply analysis. Identify active participants and conversation leaders. Map network connections and information flow patterns.

Trend Detection: Track emerging topics through hashtag and keyword analysis. Monitor conversation velocity and virality indicators. Identify early signals of trending discussions.

Academic Research: Study social media behavior, discourse patterns, and community formation. Analyze information diffusion and network effects. Research platform-specific communication dynamics.

The scraper provides advantages through:

• Flexible filtering for targeted data collection
• Complete engagement metrics for performance analysis
• Reply thread capture for conversation analysis
• Media embed extraction for visual content research
• Temporal data for time-series studies
• Scalable bulk processing for multiple profiles

Output integrates with analytics platforms, sentiment analysis tools, social listening dashboards, and research databases for immediate activation in monitoring, analysis, and strategic planning.

Conclusion

The Bluesky User Posts Scraper transforms manual social media monitoring into efficient automated data collection. By providing structured access to Bluesky post data with flexible filtering and comprehensive metrics, it enables data-driven social media strategies and research.

Whether monitoring brand presence, analyzing influencer performance, researching content strategies, or studying social media behavior, this scraper delivers the systematic extraction capabilities needed for effective Bluesky analysis.

Start extracting Bluesky insights today and enhance your social media intelligence capabilities.

Your feedback

We are always working to improve Actors' performance. So, if you have any technical feedback about Pinterest Search Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.