# Facebook Reels Posts Scraper – Cheap 🎬 (`scrapestorm/facebook-reels-posts-scraper---cheap`) Actor

🔍 Scrape Facebook Reels Instantly

Enter a keyword and instantly extract highly relevant Facebook Reels, including caption, views, duration, upload date & reel URL 🎬
Perfect for content research, trend analysis, short-form video datasets & enriching your Google Sheets, automations or AI pipelines

- **URL**: https://apify.com/scrapestorm/facebook-reels-posts-scraper---cheap.md
- **Developed by:** [Storm\_Scraper](https://apify.com/scrapestorm) (community)
- **Categories:** Social media, Videos, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

$19.49/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.
You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

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

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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 Reels Scraper – Fast, Accurate & Powerful 🎬🚀📘 

The Facebook Reels Scraper is a powerful and efficient tool designed to extract public Reels from Facebook based on a keyword search.

Perfect for market research, content discovery, trend analysis, short-form content datasets, competitor tracking, and more.

### 🔍 What This Scraper Does

Provide a keyword and the number of Reels you want — the scraper automatically searches Facebook Reels and returns clean, structured data.

✅ It extracts:

| Field         | Description                                       |
| ------------- | ------------------------------------------------- |
| `reelId`      | Unique Facebook Reel ID                           |
| `title`       | Title or caption of the Reel                      |
| `reelUrl`     | Direct link to the Reel                           |
| `views`       | Number of views                                   |
| `likes`       | Number of likes (when visible)                    |
| `duration`    | Reel duration                                     |
| `uploadDate`  | Upload date (when available)                      |
| `description` | Caption / description text                        |
| `snippet`     | Preview text extracted from related/similar Reels |
| `platform`    | `"Facebook Reels"`                                |
| `thumbnail`   | Reel thumbnail image URL                          |

⚠️ If a field appears as N/A, it simply means that this information is not publicly available on the scraped Reel.

ℹ️ If the scraper returns fewer items than your MAX_ITEMS setting, it means only that number of Reels exists for the selected keyword and time filter. 

Try using a broader keyword 🔎 or set the time filter to any ⏱️ to increase the results.

### 🛠 How to Use the Scraper

Using the Facebook Reels Scraper is extremely easy:

- Enter a keyword (e.g. fitness reels, comedy, travel, food recipes)

- Choose a time filter (any / month / year)

- Set the maximum number of Reels

- Run the scraper

- Export your structured dataset

💾 Export options:

    📦 JSON

    📊 CSV
    
    📑 Excel
    
    🌐 XML / HTML

### 💡 Keyword Tips

🔹 Broad keywords → large datasets (fitness, travel, cooking, dogs)

🔹 Niche keywords → more targeted results (HIIT beginner reels, dessert hacks, travel japan 2024)

🔹 Qualifiers → ultra-precise (funny dog reels, gym motivation 2024, quick recipe reels)

### 📘 Platform

This scraper targets Facebook Reels exclusively and collects data only from public Reels.

### 💰 Pricing

This scraper uses a simple monthly subscription model.
You pay only $19.49/month, and only for successful results.

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If you're interested in other Social Media (Facebook, YouTube, Pinterest & more) or real estate Actors:

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---


### 🌟 Why Use This Scraper?

🎬 Reels Content Research – Find the most engaging short videos

📊 Marketing Analysis – Study formats, captions & engagement

📈 Dataset Creation – Ideal for AI/ML and short-form content analysis

⏱ Automation – Save hours of manual browsing

🔎 Competitor Monitoring – Track creators, niches & trends

### 📥 Input Schema

Input example :

````

{
"KEYWORD": "fitness",
"TIME\_FILTER": "any",
"MAX\_ITEMS": 20
}

```
Input Fields:

| Field         | Type    | Description                         |
| ------------- | ------- | ----------------------------------- |
| `KEYWORD`     | string  | Keyword used to find relevant Reels |
| `TIME_FILTER` | string  | Filters Reels by upload time        |
| `MAX_ITEMS`   | integer | Maximum number of Reels to extract  |



### Output Example 🧾

```

{
"reelId": "983472938472938",
"title": "Quick 20s Fat-Burning Move 🔥",
"reelUrl": "https://www.facebook.com/reel/983472938472938",
"views": "12K",
"likes": "1.2K",
"duration": "00:20",
"uploadDate": "March 18, 2024",
"description": "Try this quick fat-burning move! No equipment needed 💪🔥",
"snippet": "20s Workout • 12K views — More Reels like this: HIIT fast burn | Core blast | Cardio quick tips...",
"platform": "Facebook Reels",
"thumbnail": "https://scontent.xx.fbcdn.net/v/t39.30808-6/reel\_thumbnail\_example.jpg"
}

````

### 📫 Support

If you're satisfied with this scraper, please leave a ★★★★★ rating! 
🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - [Storm_Scraper 🌪️🌩️](https://apify.com/scrapestorm)

# Actor input Schema

## `KEYWORD` (type: `string`):

Keyword to search for Reels
## `TIME_FILTER` (type: `string`):

Filter Reels by upload time
## `MAX_ITEMS` (type: `integer`):

Maximum number of Reels to extract

## Actor input object example

```json
{
  "KEYWORD": "fitness",
  "TIME_FILTER": "any",
  "MAX_ITEMS": 10
}
````

# Actor output Schema

## `overview` (type: `string`):

No description

# 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 = {
    "KEYWORD": "fitness",
    "TIME_FILTER": "any",
    "MAX_ITEMS": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapestorm/facebook-reels-posts-scraper---cheap").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 = {
    "KEYWORD": "fitness",
    "TIME_FILTER": "any",
    "MAX_ITEMS": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapestorm/facebook-reels-posts-scraper---cheap").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 '{
  "KEYWORD": "fitness",
  "TIME_FILTER": "any",
  "MAX_ITEMS": 10
}' |
apify call scrapestorm/facebook-reels-posts-scraper---cheap --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Facebook Reels Posts Scraper – Cheap 🎬",
        "description": "🔍 Scrape Facebook Reels Instantly\n\nEnter a keyword and instantly extract highly relevant Facebook Reels, including caption, views, duration, upload date & reel URL 🎬\nPerfect for content research, trend analysis, short-form video datasets & enriching your Google Sheets, automations or AI pipelines",
        "version": "0.0",
        "x-build-id": "conl6DO6AClsKAvug"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapestorm~facebook-reels-posts-scraper---cheap/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapestorm-facebook-reels-posts-scraper---cheap",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapestorm~facebook-reels-posts-scraper---cheap/runs": {
            "post": {
                "operationId": "runs-sync-scrapestorm-facebook-reels-posts-scraper---cheap",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapestorm~facebook-reels-posts-scraper---cheap/run-sync": {
            "post": {
                "operationId": "run-sync-scrapestorm-facebook-reels-posts-scraper---cheap",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "KEYWORD",
                    "TIME_FILTER",
                    "MAX_ITEMS"
                ],
                "properties": {
                    "KEYWORD": {
                        "title": "Keyword",
                        "type": "string",
                        "description": "Keyword to search for Reels",
                        "default": "fitness"
                    },
                    "TIME_FILTER": {
                        "title": "Time Filter",
                        "enum": [
                            "any",
                            "month",
                            "year"
                        ],
                        "type": "string",
                        "description": "Filter Reels by upload time",
                        "default": "any"
                    },
                    "MAX_ITEMS": {
                        "title": "Max Items",
                        "type": "integer",
                        "description": "Maximum number of Reels to extract",
                        "default": 10
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
