# Search Substack posts for science

**Use case:** 

Search the arxivblog publication for posts with science in the title or subtitle and save up to 25 public post rows. Rows can include links, titles, dates, authors, access status, and quality notes when available.

## Input

```json
{
  "target": "publicationSearch",
  "publicationTargets": [
    "arxivblog"
  ],
  "postQuery": "science",
  "includeArticleContent": false,
  "maxItems": 25
}
```

## 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).
