# Facebook Posts Search Scraper (`scrapium/facebook-posts-search-scraper`) Actor

- **URL**: https://apify.com/scrapium/facebook-posts-search-scraper.md
- **Developed by:** [Scrapium](https://apify.com/scrapium) (community)
- **Categories:** Automation, Lead generation, Social media
- **Stats:** 5 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

## Facebook Posts Search Scraper

Scrape public Facebook posts by search query. Extracts post content, engagement metrics, and metadata.

### Key Features

- **Bulk search** – Multiple queries or URLs in one run
- **Proxy fallback** – No proxy by default; auto-fallback to datacenter → residential on block
- **Live saving** – Results saved as they’re scraped
- **Retry logic** – 3 retries with exponential backoff

### Input

| Field | Type | Description |
|-------|------|-------------|
| `startUrls` | array | Facebook search URLs (e.g. `https://www.facebook.com/search/top/?q=football`) |
| `searchQueries` | array | Search keywords (used if `startUrls` is empty) |
| `maxPosts` | integer | Max posts per query (1–500, default: 50) |
| `postTimeRange` | string | Filter: `24h`, `7d`, `30d`, `90d` |
| `proxyConfiguration` | object | Proxy settings (default: no proxy) |

**Example input:**

```json
{
  "searchQueries": ["football", "cricket"],
  "maxPosts": 50,
  "postTimeRange": "",
  "proxyConfiguration": { "useApifyProxy": false }
}
```

### Output

Each post includes:

- `facebookUrl`, `pageId`, `pageName` – Page info
- `postId`, `url`, `topLevelUrl` – Post identifiers
- `time`, `timestamp` – Post date
- `likes`, `comments`, `shares` – Engagement
- `text`, `link`, `thumb` – Content
- `searchQuery` – Query that matched

### How to Use

1. Open [Apify Console](https://console.apify.com) → **Actors**
2. Select **facebook-posts-search-scraper**
3. Set inputs (queries, max posts, proxy)
4. Run the actor
5. View results in the **OUTPUT** tab
6. Export as JSON or CSV

### Proxy Behavior

- **Default:** No proxy
- **On block:** Datacenter proxy (SHADER)
- **If still blocked:** Residential proxy with 3 retries
- **After fallback:** Remaining requests use the new proxy

### Cautions

- Data is from **public** sources only
- You are responsible for legal compliance (privacy, ToS, etc.)

# Actor input Schema

## `searchQueries` (type: `array`):

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💡 Enter topics you want to explore!

Examples: football • cricket • tech news • recipes • travel

🎯 Each keyword = a separate search → more posts discovered

## `maxPosts` (type: `integer`):

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📈 How many posts to collect per keyword?

🎚️ Range: 1 → 5,000 posts
💯 Default: 50 (quick runs)
🚀 Need more? Crank it up to 5000!

## `postTimeRange` (type: `string`):

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📅 Filter by recency—get only fresh content!

⏳ All time (default) • 24h • 7d • 30d • 90d

## `proxyConfiguration` (type: `object`):

Optional proxy settings for Facebook requests.

## Actor input object example

```json
{
  "searchQueries": [
    "football"
  ],
  "maxPosts": 10,
  "postTimeRange": "",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "football"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapium/facebook-posts-search-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQueries": ["football"],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("scrapium/facebook-posts-search-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQueries": [
    "football"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call scrapium/facebook-posts-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapium/facebook-posts-search-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/fTYjgKZMof6c3NDgK/builds/Cwj87m7KiCBOj2qkd/openapi.json