# Facebook Photos Posts Scraper – Cheap 📸 (`scrapestorm/facebook-photos-posts-scraper---cheap`) Actor

🔍 Scrape Facebook Photos Instantly

Enter a keyword and instantly extract highly relevant Facebook photo posts, including caption, upload date, image URL & post link 📸
Perfect for content research, visual trend analysis, image datasets, and enriching your Google Sheets, automations or AI pipelines

- **URL**: https://apify.com/scrapestorm/facebook-photos-posts-scraper---cheap.md
- **Developed by:** [Storm\_Scraper](https://apify.com/scrapestorm) (community)
- **Categories:** Social media, Videos, Automation
- **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 Photos Scraper – Fast, Accurate & Powerful 🚀📘

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

Perfect for market research, content discovery, dataset creation, competitor tracking, visual content analysis, and more.

### 🔍 What This Scraper Does

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

✅ It extracts:

| Field         | Description                                     |
| ------------- | ----------------------------------------------- |
| `photoId`     | Unique Facebook photo post ID                   |
| `title`       | Photo caption or title                          |
| `photoUrl`    | Direct link to the photo post                   |
| `imageUrl`    | Direct image file URL                           |
| `uploadDate`  | Upload date (when available)                    |
| `reactions`   | Number of reactions (👍❤️😮 etc., when visible) |
| `comments`    | Number of comments (when visible)               |
| `shares`      | Number of shares (when visible)                 |
| `description` | Caption / description text                      |
| `snippet`     | Preview text extracted from related content     |
| `platform`    | `"Facebook Photos"`                             |
| `thumbnail`   | Thumbnail image URL                             |


### 🛠 How to Use the Scraper

Using the Facebook Photos Scraper is extremely easy:

Enter a keyword (e.g. nature photos, memes, travel pictures, food shots)

Choose a time filter (any / month / year)

Set the maximum number of photo posts

Run the scraper

Export your structured dataset

💾 Export options:

    📦 JSON
    📊 CSV
    📑 Excel
    🌐 XML / HTML

### 💡 Keyword Tips

🔹 Broad keywords → large datasets (nature, travel, memes, dogs)

🔹 Niche keywords → more targeted results (sunset beach photo, cat portraits 2024)

🔹 Qualifiers → ultra-precise (funny memes 2024, macro photography insects)

### 📘 Platform

This scraper targets Facebook Photos exclusively and collects data only from facebook content.

### 💰 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?

📸 Visual Content Research – Discover trending or niche images

📊 Marketing Analysis – Study captions, engagement, themes

📈 Dataset Creation – Perfect for AI/ML, computer vision & image analysis

⏱ Automation – Save hours of manual searching

🔎 Competitor Monitoring – Track pages, photographers & brands

### 📥 Input Schema

Input example :

````

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

```
Input Fields:

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


### Output Example 🧾

```

{
"photoId": "795483389926725",
"title": "Beautiful evening sky 🌅",
"photoUrl": "https://www.facebook.com/photo/?fbid=795483389926725",
"imageUrl": "https://scontent.xx.fbcdn.net/v/t39.30808-6/photo\_example.jpg",
"uploadDate": "March 4, 2024",
"reactions": "2.4K",
"comments": "134",
"shares": "22",
"description": "Captured this sunset on my evening walk ✨",
"snippet": "More like this: sunset photos • sky shots • nature photography...",
"platform": "Facebook Photos",
"thumbnail": "https://scontent.xx.fbcdn.net/v/t39.30808-6/photo\_thumb.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 photos
## `TIME_FILTER` (type: `string`):

Filter photos by post date
## `MAX_ITEMS` (type: `integer`):

Maximum number of photos to extract

## Actor input object example

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

// Run the Actor and wait for it to finish
const run = await client.actor("scrapestorm/facebook-photos-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": "volleyball",
    "TIME_FILTER": "any",
    "MAX_ITEMS": 10,
}

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

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Facebook Photos Posts Scraper – Cheap 📸",
        "description": "🔍 Scrape Facebook Photos Instantly\n\nEnter a keyword and instantly extract highly relevant Facebook photo posts, including caption, upload date, image URL & post link 📸\nPerfect for content research, visual trend analysis, image datasets, and enriching your Google Sheets, automations or AI pipelines",
        "version": "0.0",
        "x-build-id": "M4lK5Ki4Sj6BnkQLa"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapestorm~facebook-photos-posts-scraper---cheap/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapestorm-facebook-photos-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapestorm~facebook-photos-posts-scraper---cheap/runs": {
            "post": {
                "operationId": "runs-sync-scrapestorm-facebook-photos-posts-scraper---cheap",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapestorm~facebook-photos-posts-scraper---cheap/run-sync": {
            "post": {
                "operationId": "run-sync-scrapestorm-facebook-photos-posts-scraper---cheap",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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 photos",
                        "default": "volleyball"
                    },
                    "TIME_FILTER": {
                        "title": "Time Filter",
                        "enum": [
                            "any",
                            "month",
                            "year"
                        ],
                        "type": "string",
                        "description": "Filter photos by post date",
                        "default": "any"
                    },
                    "MAX_ITEMS": {
                        "title": "Max Items",
                        "type": "integer",
                        "description": "Maximum number of photos 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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
