# Substack Notes Scraper 🔍📥- Cheap (`scrapestorm/substack-notes-scraper---cheap`) Actor

🔍 Easily Scrape Substack Notes
Enter a profile or keyword to collect real-time Notes from Substack 🗒️💬
Get insights like content, author, post date, reactions, restacks, replies & more 📊🧠
Seamlessly integrate with tools like Google Drive to automate community tracking & boost productivity ⚡🧩

- **URL**: https://apify.com/scrapestorm/substack-notes-scraper---cheap.md
- **Developed by:** [Storm\_Scraper](https://apify.com/scrapestorm) (community)
- **Categories:** Social media, Videos, Automation
- **Stats:** 8 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$19.49/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#rental-actors

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### 🗒️ 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 🌪️🌩️](https://apify.com/scrapestorm)

# Actor input Schema

## `keywords` (type: `array`):

List of keywords. Each keyword will be scraped separately, with its own note limit (see maxItemsPerKeyword).

## `searchType` (type: `string`):

'Top' returns the most popular/relevant notes, while 'Recent' returns the latest notes. This determines both the search URL and the intercepted API endpoint.

## `maxItemsPerKeyword` (type: `integer`):

Maximum number of notes to extract for EACH keyword in the 'keywords' list (not a global total).

## `proxy` (type: `object`):

Select the proxy configuration to use for the actor.

## Actor input object example

```json
{
  "keywords": [
    "science",
    "AI"
  ],
  "searchType": "top",
  "maxItemsPerKeyword": 60,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "science",
        "AI"
    ],
    "searchType": "top",
    "maxItemsPerKeyword": 60,
    "proxy": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapestorm/substack-notes-scraper---cheap").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": [
        "science",
        "AI",
    ],
    "searchType": "top",
    "maxItemsPerKeyword": 60,
    "proxy": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("scrapestorm/substack-notes-scraper---cheap").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "science",
    "AI"
  ],
  "searchType": "top",
  "maxItemsPerKeyword": 60,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call scrapestorm/substack-notes-scraper---cheap --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapestorm/substack-notes-scraper---cheap"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/JB43Jr4QBr9wd19e1/builds/kbSSrCzG7QyBZqen5/openapi.json