# Substack Profile Scraper (`getdataforme/substack-profile-scraper`) Actor
The Substack Profile Scraper efficiently extracts detailed data from Substack profiles and posts for analysis, research, and content aggregation....
- **URL**: https://apify.com/getdataforme/substack-profile-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, E-commerce, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $9.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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 Profile Scraper
### Introduction
The Substack Profile Scraper is a powerful tool designed to efficiently extract detailed information from Substack profiles and posts. This actor enables users to gather comprehensive data for analysis, research, and content aggregation, enhancing your understanding of Substack publications.
### Features
- **Efficient Data Extraction**: Quickly scrape detailed information from Substack profiles and posts.
- **High Data Quality**: Ensures accurate and reliable data collection.
- **Comprehensive Output**: Provides extensive details including post content, author information, and publication metadata.
- **User-Friendly Interface**: Easy setup and execution with minimal configuration.
- **Scalable Performance**: Handles multiple URLs efficiently for large-scale data collection.
- **Customizable Parameters**: Tailor the scraping process to meet specific needs.
- **Versatile Applications**: Suitable for various use cases such as market research and academic studies.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|------------|--------|----------|---------------------------------------|-------------------------------------------------------------------------|
| startUrls | array | Yes | URLs to start with for scraping data. | `[{"url": "https://bearingwitnessatice.substack.com/p/in-massachusetts-ice-arrested-236"}]` |
### Example Usage
#### Example Input JSON
```json
{
"startUrls": [
{
"url": "https://bearingwitnessatice.substack.com/p/in-massachusetts-ice-arrested-236"
}
]
}
````
#### Example Output JSON
```json
[
{
"id": 192885763,
"title": "In Massachusetts, ICE \"arrested\" 245 children between the ages of 2 and 13 years-old",
"subtitle": "Jared Berezin, co-organizer of Bearing Witness @ ICE, April 1st 2026, Burlington MA",
"slug": "in-massachusetts-ice-arrested-236",
"type": "newsletter",
"audience": "everyone",
"canonical_url": "https://substack.com/home/post/p-192885763",
"post_date": "2026-04-02T01:27:24.750Z",
"updated_at": "2026-04-02T16:34:20.853Z",
"wordcount": 606,
"description": "Jared Berezin, co-organizer of Bearing Witness @ ICE, April 1st 2026, Burlington MA",
"truncated_body_text": "I want to tell you about someone who was detained here in Burlington...",
"body_text": "I want to tell you about someone who was detained here in Burlington...",
"cover_image": "https://substackcdn.com/image/fetch/$s_!dAuk!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fbbfaf925-eb97-4e09-ba2e-2ea41867738c_1184x1404.png",
"tags": ["immigration", "Asylum", "Burlington", "ICE", "human rights", "Constitution", "politics", "nonviolence", "Maine"],
"embedded_image_urls": ["https://substack-post-media.s3.amazonaws.com/public/images/bbfaf925-eb97-4e09-ba2e-2ea41867738c_1184x1404.png"],
"youtube_video_ids": ["fcS1sWSdNog"],
"outbound_links": ["https://scholar.google.com/scholar_case?case=8535303533054877270&hl=en&as_sdt=40000006"],
"reaction_count": 6,
"comment_count": 0,
"restacks": 5,
"tts_audio_url": "https://substack-video.s3.amazonaws.com/video_upload/post/192885763/tts/e9490e4c-14e2-4e2a-8c3f-3c92ffc87767/en-US-OnyxTurboMultilingualNeural.mp3",
"author_name": "Bearing Witness @ ICE",
"author_handle": "bearingwitnessatice",
"publication_id": 5285974,
"publication_name": "Bearing Witness @ ICE",
"publication_subdomain": "bearingwitnessatice",
"scraped_at": "2026-04-17T07:28:48.973Z"
}
]
```
### Use Cases
- **Market Research and Analysis**: Gather insights into publication trends and audience engagement.
- **Competitive Intelligence**: Monitor competitor publications and strategies.
- **Content Aggregation**: Compile posts for newsletters or content platforms.
- **Academic Research**: Analyze publication data for studies on media and communication.
- **Business Automation**: Automate data collection for business intelligence tools.
### Installation and Usage
```
1. Search for "Substack Profile Scraper" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)
```
### Output Format
The output is a JSON array containing detailed information about each Substack post, including fields such as `title`, `subtitle`, `post_date`, `body_text`, `author_name`, and `publication_name`. This structured data allows for easy analysis and integration into other systems.
### Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form:
We're here to help you get the most out of this Actor!
# Actor input Schema
## `startUrls` (type: `array`):
URLs to start with.
## Actor input object example
```json
{
"startUrls": [
{
"url": "https://bearingwitnessatice.substack.com/p/in-massachusetts-ice-arrested-236"
}
]
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"startUrls": [
{
"url": "https://bearingwitnessatice.substack.com/p/in-massachusetts-ice-arrested-236"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/substack-profile-scraper").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://bearingwitnessatice.substack.com/p/in-massachusetts-ice-arrested-236" }] }
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/substack-profile-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"startUrls": [
{
"url": "https://bearingwitnessatice.substack.com/p/in-massachusetts-ice-arrested-236"
}
]
}' |
apify call getdataforme/substack-profile-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/substack-profile-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Substack Profile Scraper",
"description": "The Substack Profile Scraper efficiently extracts detailed data from Substack profiles and posts for analysis, research, and content aggregation....",
"version": "0.0",
"x-build-id": "gXkLMepRQ2xGtAfI4"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~substack-profile-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-substack-profile-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~substack-profile-scraper/runs": {
"post": {
"operationId": "runs-sync-getdataforme-substack-profile-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~substack-profile-scraper/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-substack-profile-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "URLs to start with.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```