# Facebook Post Search by Keyword

**Use case:** 

Search public Facebook posts by keyword or topic and export post text, author, date, reactions, comments, shares, image and post URL. This example searches posts about electric vehicles. Use it for brand monitoring, social listening or trend research. Works without a Facebook login or cookies.

## Input

```json
{
  "queries": [
    "electric vehicles"
  ],
  "searchType": "posts",
  "maxResults": 50,
  "locationUid": "",
  "maxConcurrency": 3,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "query": {
    "label": "Query"
  },
  "position": {
    "label": "#",
    "format": "number"
  },
  "postUrl": {
    "label": "Post URL",
    "format": "link"
  },
  "createdAt": {
    "label": "Posted",
    "format": "datetime"
  },
  "authorName": {
    "label": "Author"
  },
  "authorUrl": {
    "label": "Author URL",
    "format": "link"
  },
  "text": {
    "label": "Text"
  },
  "contentType": {
    "label": "Content"
  },
  "reactionCount": {
    "label": "Reactions",
    "format": "number"
  },
  "commentCount": {
    "label": "Comments",
    "format": "number"
  },
  "shareCount": {
    "label": "Shares",
    "format": "number"
  },
  "imageUrl": {
    "label": "Image",
    "format": "image"
  },
  "id": {
    "label": "Post ID"
  }
}
```

## How it works

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

The Facebook Search Scraper Actor is ready to run with the inputs already set for "Facebook Post Search by Keyword". [Sign up or log in](https://console.apify.com/create-task-from-example/IHOzbeiB4KtgHlvXc) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Facebook Post Search by Keyword" task

The Facebook Search Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search queries, search type, and more, to match your specific use case.

### 3. Receive the "Facebook Post Search by Keyword" 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 query, #, post url, 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 "Facebook Post Search by Keyword" task via API](https://apify.com/coregent/facebook-search-scraper.md).

## FAQ

### Can I monitor brand mentions on Facebook?

Yes. Search your brand name as a post query and schedule the task daily. Each row keeps the query and its position.

### Which engagement numbers are included?

Reaction, comment and share counts as Facebook shows them on each post.

### Do I need to log in?

No. Only public posts that Facebook shows to logged-out visitors are collected.

### Can I search pages, people or events instead?

Yes. Change Search type to Pages, People, Videos, Places, Events or Top.

## About this Actor

This example demonstrates how to use [Facebook Search Scraper](https://apify.com/coregent/facebook-search-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/coregent/facebook-search-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/coregent/facebook-search-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`).