Instagram Tagged Posts Scraper

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Extract posts where a user is tagged on Instagram. This scraper navigates to the "Tagged" tab of any Instagram profile and extracts all posts where the target user has been tagged by others.

Features

• 🏷️ Tagged Posts Extraction: Scrapes posts from the /tagged/ tab of any Instagram profile
• 📊 Engagement Metrics: Extracts likes, comments, and views for each post
• 📸 Media URLs: Collects image and video URLs from posts
• 👤 Author Information: Gets details about who posted/tagged the user
• 🔐 Cookie Authentication: Supports MongoDB cookie rotation and file-based cookies
• 🛡️ Anti-Detection: Human behavior simulation, stealth scripts, and random delays
• 📧 Email Alerts: Automatic notifications when cookies fail or are exhausted

Input Parameters

Example Input

{
"username":"instagram",
"maxPosts":20,
"humanizeBehavior":true
}

Output Format

Each tagged post is returned with the following structure:

{
"tagged_username":"instagram",
"post_url":"https://www.instagram.com/p/ABC123/",
"description":"Post caption here...",
"post_type":"image",
"like_count":12345,
"comment_count":234,
"view_count":0,
"pub_date":"2024-01-15T10:30:00",
"media_urls":["https://instagram.com/..."],
"scraped_at":"2024-01-20T15:30:00.000Z",
"authorMeta":{
"username":"photographer",
"full_name":"John Photographer",
"profile_url":"https://www.instagram.com/photographer/",
"is_verified":false
}
}

Cookie Authentication

Option 1: MongoDB Cookie Rotation (Automatic)

The scraper automatically connects to MongoDB for cookie rotation. This provides:

• Round-robin cookie selection
• Automatic failover when cookies fail
• Usage tracking and failure detection
• Email alerts for cookie failures

Option 2: Manual Cookie Input

Export cookies from your browser and provide them in the cookies parameter:

1. Install a browser extension like "Cookie-Editor" or "EditThisCookie"
2. Log into Instagram in your browser
3. Export cookies as JSON
4. Paste the JSON into the cookies input parameter

Option 3: File-Based Cookies

Place a cookies file in the scraper directory:

• www.instagram.com.cookies (1).json
• www.instagram.com.cookies.json
• cookies.json
• IG_Cookies.json

Anti-Blocking Measures

This scraper includes multiple anti-detection features:

1. Stealth Scripts: Override navigator properties to avoid bot detection
2. Human Behavior Simulation: Random mouse movements, scrolling, and delays
3. Cookie Rotation: Automatic rotation through multiple accounts
4. Random Delays: Variable delays between requests
5. Firefox Browser: Uses Firefox which has better anti-detection properties

Error Handling

The scraper handles various error scenarios:

• Profile Not Found: Returns error message if profile doesn't exist
• Private Account: Tagged posts are not accessible for private accounts
• No Tagged Posts: Returns message if user has no tagged posts
• Rate Limiting: Automatically stops if Instagram blocks access
• Cookie Failure: Rotates to next cookie and sends email alert

Limitations

• Tagged posts are only visible if the target profile is public
• Instagram may limit access without authentication
• Rate limits apply - avoid scraping too many posts too quickly
• Some posts may be restricted based on account settings

Local Development

# Install dependencies
pip install-r requirements.txt
# Install Playwright browsers
playwright install firefox
# Run locally
apify run

Deployment to Apify

# Login to Apify
apify login
# Push to Apify
apify push

Support

If you encounter issues:

1. Ensure cookies are valid and not expired
2. Check if the target profile is public
3. Reduce maxPosts to avoid rate limiting
4. Enable humanizeBehavior to reduce detection risk