Substack Notes Scraper 🔍

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Extract valuable content and engagement data from Substack Notes search results. This actor helps you gather insights about discussions, trends, and user engagement around specific topics on Substack's social platform.

🎯 Use Cases

• Monitor discussions around specific keywords or topics
• Track user engagement and content performance
• Analyze visual content trends through attached images
• Research user behavior and community interactions
• Gather social proof and testimonials
• Track competitor activities and engagement

✨ Features

• 🔎 Search-based data extraction
• 👤 Detailed user information (name, handle, bio)
• 📊 Engagement metrics (reactions, restacks, comments)
• 🖼️ Image attachments with dimensions
• ⏱️ Timestamp data for temporal analysis
• 🔄 Automatic pagination handling
• 🚀 Stealth mode to avoid detection

🔢 Output

The actor provides detailed JSON output including:

• User profile information
• Note content and metadata
• Engagement metrics
• Image attachments
• Timestamps
• Search context

💡 Input Parameters

• keywords (Array): List of keywords to search for
• maxItems (Number): Maximum number of items to scrape
• proxyConfiguration (Object): Proxy settings (optional)

📌 Limitations

• Respects Substack's rate limits and terms of service
• Search results are limited to public notes
• Image downloads require additional processing

💪 Tips for Best Results

1. Use specific keywords for targeted results
2. Adjust maxItems based on your needs
3. Consider using proxies for large-scale scraping
4. Allow sufficient run time for complete data collection

Input Example

A full explanation of an input example in JSON.

{
"keywords":[
"sale"
],
"maxItems":50
}

Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

[
{
"keyword":"sale",
"entityKey":"c-91995525",
"type":"comment",
"user":{
"id":310653644,
"name":"Chris Sale",
"handle":"chrissalephoto",
"photoUrl":"https://substack-post-media.s3.amazonaws.com/public/images/b5673547-b3db-4089-9e43-f32170dba61b_96x96.jpeg",
"bio":"Landscape photographer based in Cumbria. Sharing stories from the Eden Valley and the North Pennines. "
},
"comment":{
"id":91995525,
"body":"Bothy | Melmerby Fell, North Pennines AONB | February 2025",
"date":"2025-02-08T14:19:40.888Z",
"reactionCount":60,
"reactions":{
"❤":60
},
"restacks":1,
"childrenCount":5
},
"attachments":[
{
"id":"5a9aef05-696f-4bb5-a9bf-45807bcaf2da",
"type":"image",
"imageUrl":"https://substack-post-media.s3.amazonaws.com/public/images/8bc060ec-f0c6-43a4-b4b8-6ca80b54cec9_2160x2700.jpeg",
"imageWidth":2160,
"imageHeight":2700
}
],
"scrapedAt":"2025-02-10T05:59:15.575Z"
},
 ...
]

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