# Read newest posts from a Substack publication

**Use case:** 

Read up to 20 newest public posts from https://www.thefp.com and save post rows with source links and available metadata.

## Input

```json
{
  "target": "publicationArchive",
  "publicationTargets": [
    "https://www.thefp.com"
  ],
  "sortBy": "newest",
  "includeArticleContent": false,
  "maxItems": 20
}
```

## Output

```json
{
  "resultType": {
    "label": "Result type",
    "format": "text"
  },
  "post": {
    "label": "Post",
    "format": "object"
  },
  "publication": {
    "label": "Publication",
    "format": "object"
  },
  "comment": {
    "label": "Comment",
    "format": "object"
  },
  "discovery": {
    "label": "Discovery",
    "format": "object"
  },
  "quality": {
    "label": "Quality",
    "format": "object"
  }
}
```

## About this Actor

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


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

- **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).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/maximedupre/substack-api.md

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).