Substack Notes Scraper 🔍📥- Cheap

🗒️ Substack Notes Scraper 🔍📥

The Substack Notes Scraper is your go-to tool for collecting structured data from public Substack Notes. Perfect for content analysis, trend detection, influencer discovery, or community research — this scraper extracts short-form post data including author info, reactions, and replies in just minutes.

🔍 What It Does

Provide a keyword or other input, and the scraper delivers:

✅ Clean, structured data on Substack Notes ✅ Full user metadata: name, handle, photo, etc. ✅ Rich content: the note’s text, date, replies, and engagement ✅ Nested data like reactions, children count, and publications ✅ Ready-to-use format for CRMs, dashboards, sentiment analysis, or research

📄 Output Fields

Field	Description
entity_key	Unique identifier for the note/comment
type	The type of content (comment, note, etc.)
user	Object containing author info (id, name, handle, photo_url)
content	Text content of the note
date	ISO timestamp when the note was posted
edited_at	ISO timestamp if edited, or "N/A" if never edited
reactions	Object showing emoji reactions and their counts (e.g., {"❤": 3})
reaction_count	Total number of reactions
restacks	Number of times this note was re-shared
children_count	Number of replies or child comments
publication	Name of the associated publication

🛠 How to Use the Scraper

It’s simple and beginner-friendly:

🔗 Paste in a keyword or input configuration 🔢 Optionally define how many notes to extract

🚀 Run the scraper — and get clean, structured Substack Notes data in minutes!

💰 Pricing

This scraper uses a pay-per-month model. You’re only charged for successful results.

• Price: $19.49 per month.

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💡 Use Cases

📩 Lead Generation — Discover active users in niche newsletter communities

📊 Engagement Analytics — Monitor reactions and restacks across topics

📢 Influencer Discovery — Identify creators with high engagement

🔍 Trend Tracking — Surface popular conversations in the Substack ecosystem

🧠 Sentiment or Content Analysis — Research narratives in independent publishing

📥 Input Schema

Input example :

{
  "keyword": "daniel",
  "maxitems": 100
}

Input Fields:

Field	Type	Description
keyword	string	🔍 A keyword to search for relevant notes
maxitems	integer	🔢 Maximum number of notes to extract

💡 The keyword can be a name, handle, or any relevant search term.

Output

{
  "entity_key": "c-158543857",
  "type": "comment",
  "user": {
    "id": 101456967,
    "name": "Daniel Hettenbach",
    "handle": "danielhettenbach",
    "photo_url": "https://substack-post-media.s3.amazonaws.com/image.jpg"
  },
  "content": "Daniel.\n\nYes Shawn.\n\nWhy are you a great Poet?\n\nBecause I lost everything.\n\nI don't understand Daniel.\n\nYou won't till you do.",
  "date": "2025-09-22T02:35:57.767Z",
  "edited_at": "N/A",
  "reactions": {
    "❤": 3
  },
  "reaction_count": 3,
  "restacks": 1,
  "children_count": 1,
  "publication": "Daniel Hettenbach"
}

📫 Support

😊 Leave us a star ⭐⭐⭐⭐⭐ if you are satisfied with the product! 🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️