# Newsletter Scraper – Substack, Beehiiv & Ghost (`ninhothedev/newsletter-scraper`) Actor

$1/1K 🔥 Fast newsletter & RSS scraper! Titles, authors, dates, links & full content from any feed. JSON, CSV, Excel or API in seconds. Paste feed URLs & extract thousands of posts for content & monitoring ⚡

- **URL**: https://apify.com/ninhothedev/newsletter-scraper.md
- **Developed by:** [ninhothedev](https://apify.com/ninhothedev) (community)
- **Categories:** News
- **Stats:** 2 total users, 2 monthly users, 88.2% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 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 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

## Newsletter Scraper – Substack, Beehiiv & Ghost

**Scrape newsletter archives into clean data.** Paste a Substack, Beehiiv or Ghost publication URL and get every post's **title, author, date, full content and link** — as JSON, CSV or Excel. The actor finds the RSS feed automatically. **Free, no key, no proxy.**

### How to use (30 seconds)

Add publication URLs to `newsletterUrls`, e.g. `https://www.lennysnewsletter.com`. No need to know the feed path — it's resolved automatically (`/feed`, `/rss`, …).

### Why use it

- 📨 **3 platforms, one actor** — Substack, Beehiiv and Ghost (and any RSS newsletter).
- 🧱 **Full content** — title, author, publish date, **full post text** (HTML-stripped), summary, hero image, word count, link.
- 🤖 **AI / research ready** — clean text for content analysis, competitive research, RAG and AI training.
- ⚡ **Fast & free** — via public RSS. **No key, no proxy** → tiny cost, high margin.
- 📤 **Export anywhere** — JSON, CSV, Excel, XML or the dataset API.

### Output (one item per post)

`newsletter` · `platform` · `title` · `url` · `author` · `published` · `summary` · **`content_text`** · `image` · `word_count` · `scraped_at`.

### FAQ

**Key or proxy?** No. **Which platforms?** Substack, Beehiiv, Ghost + any RSS newsletter. **How many posts?** As many as the feed exposes (newsletters typically publish recent posts in RSS).

### Legal & privacy

Public newsletter content via RSS. Respect each publisher's terms and copyright; don't republish paywalled content.

***

**Keywords:** newsletter scraper, substack scraper, beehiiv, ghost, rss, content research, email marketing, creator economy, JSON CSV Excel.

# Actor input Schema

## `newsletterUrls` (type: `array`):

Substack / Beehiiv / Ghost publication URLs (or any newsletter RSS), e.g. https://www.lennysnewsletter.com. The RSS feed is found automatically.

## `maxPostsPerNewsletter` (type: `integer`):

Cap posts scraped per publication (newest first).

## Actor input object example

```json
{
  "newsletterUrls": [
    "https://www.lennysnewsletter.com"
  ],
  "maxPostsPerNewsletter": 50
}
```

# Actor output Schema

## `posts` (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 = {
    "newsletterUrls": [
        "https://www.lennysnewsletter.com"
    ],
    "maxPostsPerNewsletter": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("ninhothedev/newsletter-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "newsletterUrls": ["https://www.lennysnewsletter.com"],
    "maxPostsPerNewsletter": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("ninhothedev/newsletter-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 '{
  "newsletterUrls": [
    "https://www.lennysnewsletter.com"
  ],
  "maxPostsPerNewsletter": 50
}' |
apify call ninhothedev/newsletter-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=ninhothedev/newsletter-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/ANrNEU4e12tjHTXAr/builds/4ypszUcSn3TnU3dDi/openapi.json