# Facebook comment sentiment analysis

**Use case:** 

Collect the comments under a product announcement or campaign post for sentiment analysis, no limit: comment text, author name, date, reaction count and reply count, one row per comment, ready for an Excel formula, a sentiment model or an LLM prompt. Paste the post URL, set how many comments you want, run, and download Excel, CSV or JSON. No Facebook login needed. $1 per 1,000 comments.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.facebook.com/xbox/posts/pfbid035NS8wbutsSx84cmCm2XcPtU2cvbSW3asxaHfJhTgYHJBpydN38bV99EDW3wCG37Cl"
    }
  ],
  "resultsLimit": 500,
  "includeNestedComments": false,
  "viewOption": "RANKED_UNFILTERED",
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "profileName": {
    "label": "Author",
    "format": "string"
  },
  "date": {
    "label": "Posted (UTC)",
    "format": "string"
  },
  "text": {
    "label": "Comment",
    "format": "string"
  },
  "likesCount": {
    "label": "Likes",
    "format": "string"
  },
  "commentsCount": {
    "label": "Replies",
    "format": "integer"
  },
  "threadingDepth": {
    "label": "Depth",
    "format": "integer"
  },
  "replyToCommentId": {
    "label": "Reply to",
    "format": "string"
  },
  "commentUrl": {
    "label": "Comment URL",
    "format": "string"
  },
  "postTitle": {
    "label": "Post",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Facebook Comments Scraper · No Login · $1/1k](https://apify.com/alfalfa/facebook-comments-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/alfalfa/facebook-comments-scraper.md) to learn more, explore other use cases, and run it yourself.


## 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.
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).
- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/alfalfa/facebook-comments-scraper.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).