# Substack Posts, Reactions & Engagement Scraper

**Use case:** 

Extract Substack newsletter posts sorted by newest or top engagement, including reactions, comments, restacks, word count, and audience tier.

## Input

```json
{
  "publicationTargets": [
    "pragmaticengineer"
  ],
  "scrapePublicationProfiles": true,
  "scrapePosts": true,
  "maxPostsPerPublication": 12,
  "postSortBy": "top",
  "maxSpendUsd": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "record_type": {
    "label": "Record type",
    "format": "string"
  },
  "publication_subdomain": {
    "label": "Publication",
    "format": "string"
  },
  "title": {
    "label": "Post Title",
    "format": "string"
  },
  "subtitle": {
    "label": "Subtitle",
    "format": "string"
  },
  "published_at": {
    "label": "Published",
    "format": "string"
  },
  "audience": {
    "label": "Audience",
    "format": "string"
  },
  "reaction_count": {
    "label": "Reactions",
    "format": "integer"
  },
  "comment_count": {
    "label": "Comments",
    "format": "integer"
  },
  "word_count": {
    "label": "Words",
    "format": "integer"
  },
  "author_name": {
    "label": "Author",
    "format": "string"
  },
  "post_url": {
    "label": "Post URL",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Substack Newsletters, Sponsor Leads & Posts Scraper Actor is ready to run with the inputs already set for "Substack Posts, Reactions & Engagement Scraper". [Sign up or log in](https://console.apify.com/create-task-from-example/44YhAoHv3f9aiZeBA) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Substack Posts, Reactions & Engagement Scraper" task

The Substack Newsletters, Sponsor Leads & Posts Scraper Actor will start running based on the input automatically. You can also change all the input fields, like substack subdomains or publication urls, extract newsletter b2b sponsor lead profiles, and more, to match your specific use case.

### 3. Receive the "Substack Posts, Reactions & Engagement Scraper" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as record type, publication, post title, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Substack Posts, Reactions & Engagement Scraper" task via API](https://apify.com/storeintel/substack-newsletter-leads-posts-scraper.md).

## FAQ

### Can I sort Substack posts by highest engagement ('top')?

Yes, set postSortBy to 'top' to retrieve the most liked and commented posts from any Substack publication.

### Does it support Substack newsletters on custom domains?

Yes, pass either a Substack subdomain or any custom domain powered by Substack.

## About this Actor

This example demonstrates how to use [Substack Newsletters, Sponsor Leads & Posts Scraper](https://apify.com/storeintel/substack-newsletter-leads-posts-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/storeintel/substack-newsletter-leads-posts-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/storeintel/substack-newsletter-leads-posts-scraper.md

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`).