How to Scrape Bluesky (bsky.app): API and Web Methods
Learn how to scrape Bluesky (bsky.app) posts, profiles, and engagement data. Master the AT Protocol API and web scraping techniques for real-time social...
Anti-Bot Protection Detected
- Rate Limiting
- Limits requests per IP/session over time. Can be bypassed with rotating proxies, request delays, and distributed scraping.
- IP Blocking
- Blocks known datacenter IPs and flagged addresses. Requires residential or mobile proxies to circumvent effectively.
- Proof-of-Work
- Session Token Rotation
About Bluesky
Learn what Bluesky offers and what valuable data can be extracted from it.
Bluesky is a decentralized social media platform built on the AT Protocol (Authenticated Transfer Protocol), originally incubated as an internal project at Twitter. It emphasizes user choice, algorithmic transparency, and data portability, functioning as a microblogging site where users share short-form text posts, images, and engage in threaded conversations. The platform is designed to be open and interoperable, allowing users to host their own data servers while still participating in a unified social network.
The platform contains a wealth of public social data, including real-time posts, user profiles, engagement metrics like reposts and likes, and community-curated 'Starter Packs'. Because the underlying protocol is open by design, much of this data is accessible via public endpoints, making it a highly valuable resource for researchers and developers. The data is particularly high-quality due to the platform's focus on professional and technical communities.
Scraping Bluesky is essential for modern social listening, market research, and academic studies on decentralized systems. As high-profile users migrate from traditional social giants, Bluesky provides a clear, real-time window into shifting social trends and public discourse without the restrictive and expensive API barriers common in legacy social media ecosystems.
Why Scrape Bluesky?
Discover the business value and use cases for extracting data from Bluesky.
Real-time sentiment analysis of public discourse
Tracking user migration from other social platforms
Academic research on decentralized social networks
Lead generation for SaaS and tech-focused products
Competitive analysis for brand engagement
Training datasets for Natural Language Processing (NLP) models
Scraping Challenges
Technical challenges you may encounter when scraping Bluesky.
Single Page Application (SPA) architecture requires JavaScript rendering for web views
Complex nested JSON structures in the AT Protocol API responses
Rate limits on public XRPC endpoints that require session rotation for large volumes
Dynamic CSS classes in the React-based frontend make selector-based scraping fragile
Handling the real-time Firehose stream requires high-performance websocket processing
Scrape Bluesky with AI
No coding required. Extract data in minutes with AI-powered automation.
How It Works
Describe What You Need
Tell the AI what data you want to extract from Bluesky. Just type it in plain language — no coding or selectors needed.
AI Extracts the Data
Our artificial intelligence navigates Bluesky, handles dynamic content, and extracts exactly what you asked for.
Get Your Data
Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why Use AI for Scraping
AI makes it easy to scrape Bluesky without writing any code. Our AI-powered platform uses artificial intelligence to understand what data you want — just describe it in plain language and the AI extracts it automatically.
How to scrape with AI:
- Describe What You Need: Tell the AI what data you want to extract from Bluesky. Just type it in plain language — no coding or selectors needed.
- AI Extracts the Data: Our artificial intelligence navigates Bluesky, handles dynamic content, and extracts exactly what you asked for.
- Get Your Data: Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why use AI for scraping:
- No-code interface allows non-developers to scrape complex social data
- Automatically handles dynamic rendering and infinite scroll pagination
- Cloud-based execution bypasses local IP restrictions and rate limits
- Direct integration with Google Sheets and webhooks for real-time alerts
No-Code Web Scrapers for Bluesky
Point-and-click alternatives to AI-powered scraping
Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Bluesky. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.
Typical Workflow with No-Code Tools
Common Challenges
Learning curve
Understanding selectors and extraction logic takes time
Selectors break
Website changes can break your entire workflow
Dynamic content issues
JavaScript-heavy sites often require complex workarounds
CAPTCHA limitations
Most tools require manual intervention for CAPTCHAs
IP blocking
Aggressive scraping can get your IP banned
No-Code Web Scrapers for Bluesky
Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Bluesky. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.
Typical Workflow with No-Code Tools
- Install browser extension or sign up for the platform
- Navigate to the target website and open the tool
- Point-and-click to select data elements you want to extract
- Configure CSS selectors for each data field
- Set up pagination rules to scrape multiple pages
- Handle CAPTCHAs (often requires manual solving)
- Configure scheduling for automated runs
- Export data to CSV, JSON, or connect via API
Common Challenges
- Learning curve: Understanding selectors and extraction logic takes time
- Selectors break: Website changes can break your entire workflow
- Dynamic content issues: JavaScript-heavy sites often require complex workarounds
- CAPTCHA limitations: Most tools require manual intervention for CAPTCHAs
- IP blocking: Aggressive scraping can get your IP banned
Code Examples
import requests
def scrape_bsky_api(handle):
# Using the public XRPC API endpoint for profile data
url = f"https://bsky.social/xrpc/app.bsky.actor.getProfile?actor={handle}"
headers = {"User-Agent": "Mozilla/5.0"}
try:
response = requests.get(url, headers=headers)
response.raise_for_status()
data = response.json()
print(f"Display Name: {data.get('displayName')}")
print(f"Followers: {data.get('followersCount')}")
except Exception as e:
print(f"Request failed: {e}")
scrape_bsky_api('bsky.app')When to Use
Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.
Advantages
- ●Fastest execution (no browser overhead)
- ●Lowest resource consumption
- ●Easy to parallelize with asyncio
- ●Great for APIs and static pages
Limitations
- ●Cannot execute JavaScript
- ●Fails on SPAs and dynamic content
- ●May struggle with complex anti-bot systems
How to Scrape Bluesky with Code
Python + Requests
import requests
def scrape_bsky_api(handle):
# Using the public XRPC API endpoint for profile data
url = f"https://bsky.social/xrpc/app.bsky.actor.getProfile?actor={handle}"
headers = {"User-Agent": "Mozilla/5.0"}
try:
response = requests.get(url, headers=headers)
response.raise_for_status()
data = response.json()
print(f"Display Name: {data.get('displayName')}")
print(f"Followers: {data.get('followersCount')}")
except Exception as e:
print(f"Request failed: {e}")
scrape_bsky_api('bsky.app')Python + Playwright
from playwright.sync_api import sync_playwright
def scrape_bluesky_web():
with sync_playwright() as p:
browser = p.chromium.launch(headless=True)
page = browser.new_page()
page.goto("https://bsky.app/profile/bsky.app")
# Wait for React to render post items using stable data-testid
page.wait_for_selector('[data-testid="postText"]')
# Extract the text of the first few posts
posts = page.query_selector_all('[data-testid="postText"]')
for post in posts[:5]:
print(post.inner_text())
browser.close()
scrape_bluesky_web()Python + Scrapy
import scrapy
import json
class BlueskySpider(scrapy.Spider):
name = 'bluesky_api'
# Targeting the public author feed API
start_urls = ['https://bsky.social/xrpc/app.bsky.feed.getAuthorFeed?actor=bsky.app']
def parse(self, response):
data = json.loads(response.text)
for item in data.get('feed', []):
post_data = item.get('post', {})
yield {
'cid': post_data.get('cid'),
'text': post_data.get('record', {}).get('text'),
'author': post_data.get('author', {}).get('handle'),
'likes': post_data.get('likeCount')
}Node.js + Puppeteer
const puppeteer = require('puppeteer');
(async () => {
const browser = await puppeteer.launch();
const page = await browser.newPage();
await page.goto('https://bsky.app/profile/bsky.app');
// Use data-testid for more stable selectors in the SPA
await page.waitForSelector('div[data-testid="postText"]');
const postData = await page.evaluate(() => {
const items = Array.from(document.querySelectorAll('div[data-testid="postText"]'));
return items.map(item => item.innerText);
});
console.log('Latest posts:', postData.slice(0, 5));
await browser.close();
})();What You Can Do With Bluesky Data
Explore practical applications and insights from Bluesky data.
Brand Reputation Monitoring
Businesses can track real-time sentiment and brand mentions among high-value technical and professional user groups.
How to implement:
- 1Set up a keyword scraper for brand names and product terms.
- 2Scrape all posts and replies hourly to capture fresh mentions.
- 3Run sentiment analysis on post text using pre-trained NLP models.
- 4Visualize sentiment trends on a dashboard to detect PR issues early.
Use Automatio to extract data from Bluesky and build these applications without writing code.
What You Can Do With Bluesky Data
- Brand Reputation Monitoring
Businesses can track real-time sentiment and brand mentions among high-value technical and professional user groups.
- Set up a keyword scraper for brand names and product terms.
- Scrape all posts and replies hourly to capture fresh mentions.
- Run sentiment analysis on post text using pre-trained NLP models.
- Visualize sentiment trends on a dashboard to detect PR issues early.
- Competitive Intelligence
Analyze competitor engagement strategies and community growth on an open platform.
- Collect a list of competitor handles on Bluesky.
- Scrape their follower counts and daily post volume over time.
- Analyze the most liked posts to determine high-performing content themes.
- Identify 'super-fans' who engage frequently with competitor content.
- Decentralized Network Research
Academic researchers can map the topology of decentralized networks and community clusters.
- Scrape public 'Starter Packs' to identify defined community groups.
- Extract follower/following networks between specific actors.
- Apply graph theory to visualize the connectivity of the AT Protocol ecosystem.
- Track the speed and depth of information diffusion.
- B2B Lead Generation
Sales teams can find high-quality leads by identifying users discussing specific industry problems.
- Scrape posts containing 'how do I' or 'need alternative to' in niche industries.
- Extract the user bio and handle to assess prospect quality.
- Filter for users with significant following in relevant circles.
- Automate personalized outreach based on the context of their posts.
- Training AI Conversation Models
Developers can extract massive datasets of human conversation to fine-tune Large Language Models.
- Connect to the Bluesky Firehose to stream all public posts.
- Filter for threads with 5+ replies to ensure meaningful conversational data.
- Clean data by stripping PII and irrelevant links.
- Format the result into JSONL for model fine-tuning pipelines.
Supercharge your workflow with AI Automation
Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.
Pro Tips for Scraping Bluesky
Expert advice for successfully extracting data from Bluesky.
Always prefer the AT Protocol API over DOM scraping as it is faster and won't break when the UI updates.
Monitor the 'X-RateLimit-Remaining' header in API responses to avoid being throttled by the PDS.
Use App Passwords for authenticated scraping to keep your main account credentials secure.
When scraping the website directly, target 'data-testid' attributes which are specifically designed for testing and scraping stability.
Tap into the websocket firehose at 'wss
//bsky.network/xrpc/com.atproto.sync.subscribeRepos' for high-volume real-time data needs.
Implement exponential backoff strategies to handle the Proof-of-Work challenges occasionally triggered by high frequency.
Testimonials
What Our Users Say
Join thousands of satisfied users who have transformed their workflow
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
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Frequently Asked Questions About Bluesky
Find answers to common questions about Bluesky