# Substack Scraper (Posts, Likes, Comments, Full Text) (`juliob.rangel/substack-scraper-fast`) Actor

Export every post of any Substack newsletter (substack.com or custom domain): title, subtitle, date, authors, likes, comments, restacks, word count, paid or free, tags, podcast link and, optionally, the full text. Export to Excel, CSV or JSON.

- **URL**: https://apify.com/juliob.rangel/substack-scraper-fast.md
- **Developed by:** [Julio Barcellos Rangel](https://apify.com/juliob.rangel) (community)
- **Categories:** News, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 post scrapeds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Substack Scraper (Posts, Likes, Comments, Full Text)

Export **every post of any Substack newsletter**, on substack.com or a custom domain: title, subtitle, date, authors, **likes, comments, restacks**, word count, free or paid, tags, podcast link and, if you want, the **full text**. Great for content research, competitor analysis and building datasets for AI.

### What you get

| Field | Example |
|---|---|
| publication, title, subtitle, url | lennysnewsletter.com · All of the Lenny & Friends Summit talks are now online! |
| postDate, type | 2026-09-29T13:15:57Z · newsletter / podcast |
| authors | \["Lenny Rachitsky"] |
| likes, comments, restacks | 283 · 6 · 5 |
| wordCount, isPaid, audience | 1,276 · false · everyone |
| tags, coverImage, podcastUrl | ... |
| preview, content | first lines · full text (optional) |

### How to use

1. Add newsletters: `platformer`, `https://www.lennysnewsletter.com` or `name.substack.com`.
2. Set max posts per newsletter, a start date, and whether you want the full text.
3. Click Start. Export to Excel, CSV, JSON, or use the API.

### Pricing

Pay only per post returned.

***

## Extrator do Substack (PT-BR)

Exporte todos os posts de qualquer newsletter do Substack: título, data, autores, curtidas, comentários, se é pago e, se quiser, o texto completo. Você paga só por post retornado.

# Actor input Schema

## `publications` (type: `array`):

Substack names, URLs or custom domains, e.g. platformer, https://www.lennysnewsletter.com, astralcodexten.substack.com.

## `maxPostsPerPublication` (type: `integer`):

Newest posts first.

## `includeContent` (type: `boolean`):

Add the post text (only the free preview for paid posts).

## `onlyPostsNewerThan` (type: `string`):

Optional date (YYYY-MM-DD).

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

Apify Proxy settings.

## Actor input object example

```json
{
  "publications": [
    "https://www.lennysnewsletter.com"
  ],
  "maxPostsPerPublication": 50,
  "includeContent": false,
  "proxy": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "publications": [
        "https://www.lennysnewsletter.com"
    ],
    "maxPostsPerPublication": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("juliob.rangel/substack-scraper-fast").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 = {
    "publications": ["https://www.lennysnewsletter.com"],
    "maxPostsPerPublication": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("juliob.rangel/substack-scraper-fast").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 '{
  "publications": [
    "https://www.lennysnewsletter.com"
  ],
  "maxPostsPerPublication": 50
}' |
apify call juliob.rangel/substack-scraper-fast --silent --output-dataset

```

## MCP server setup

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

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/1KkyTVAQJRpznidx1/builds/IJeyX8LQNa4pP5J9d/openapi.json