# Facebook Search Videos Scraper (`data_direct/facebook-videos-scraper`) Actor Search Facebook videos by keyword - **URL**: https://apify.com/data\_direct/facebook-videos-scraper.md - **Developed by:** [Data Direct](https://apify.com/data_direct) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $8.00 / 1,000 pages 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 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Search Videos Scraper Search for Facebook videos by keyword. Supports date filtering and sorting. ### Features - Real-time Facebook data — results are fetched live at run time, never cached or stale - No login, cookies, or proxy configuration needed — just provide the input and run - Each result is pushed as a separate dataset item, exportable as JSON, CSV, or Excel - Fast: a typical run finishes in seconds ### Input | Field | Type | Required | Description | |---|---|---|---| | `query` | string | yes | Search query (max 500 characters) | | `pages` | integer | no | Number of pages to return (1-10) | | `start_date` | string | no | Filter videos from this date (YYYY-MM-DD) | | `end_date` | string | no | Filter videos until this date (YYYY-MM-DD) | | `sort_by` | string | no | Sort order for results One of: most_recent, relevance. | ### Pricing This Actor is billed **per page of results** — **$0.008 per page**. - Results come in pages. Use the `pages` input to choose how many pages to fetch (1–10); more pages means more results. - You pay $0.008 for each page you fetch, so `pages: 3` costs **$0.024** and `pages: 1` costs **$0.008**. - You’re only charged when a run succeeds. Failed runs are free. ### Example output ```json { "count": 7, "pages": 1, "videos": [ { "author_name": "Top Funny Eating", "author_url": "https://www.facebook.com/kingmonkey99", "author_verified": false, "description": "Amazing Movie Handsome Chef Cooking Special Food 2026", "thumbnail": "https://scontent-gru2-1.xx.fbcdn.net/v/t15.5256-10/664902933_973369045252938_8988409295812670677_n.jpg?stp=c0.133.360.202a_dst-jpg_tt6&_nc_cat=107&ccb=1-7&_nc_sid=e3495b&_nc_ohc=m3gY4Z0AvikQ7kNvwGHiLnX&_nc_oc=AdofruXSwJMg_-_AN_qQRyhbidOVRFbD0S3bl5MNgtNxeQ8AYJXulSLZow8B_DkJ1AU&_nc_zt=23&_nc_ht=scontent-gru2-1.xx&_nc_gid=pzOmeX9lwQ5tPwxP9lBVIA&_nc_ss=7a389&oh=00_Af2-FKOaEuXfVIfpEtCFfG0QVOGa6zS9n6UtL2fWHI7Xbw&oe=69D76A30", "time_and_views": "588 views \u00b7 Was live", "title": "Amazing Movie Handsome Chef Cooking Special Food 2026", "video_id": "2383279762174428", "video_url": "https://www.facebook.com/kingmonkey99/videos/2383279762174428/" }, { "author_name": "Peach McIntyre", "author_url": null, "author_verified": false, "description": "COOKING WITH PEACH \ud83c\udf51 PEACH McINTYRE COOKS DINNER FOR HER HUSBAND \ud83d\udc51 & 9 KIDS \ud83e\uddd1\ud83c\udffe\ud83d\udc66\ud83c\udffe\ud83e\uddd2\ud83c\udffd\ud83d\udc67\ud83c\udffd\ud83d\udc76\ud83c\udffe\ud83d\udc76\ud83c\udffe\ud83d\udc76\ud83c\udffe\ud83d\udc76\ud83c\udffe\ud83d\udc76\ud83c\udffe", "thumbnail": "https://scontent-gru1-2.xx.fbcdn.net/v/t15.5256-10/514227468_1976481929826151_510266678732981168_n.jpg?stp=c0.434.1080.605a_dst-jpg_s403x403_tt6&_nc_cat=100&ccb=1-7&_nc_sid=e3495b&_nc_ohc=2Pk99ktWksEQ7kNvwH7FAUn&_nc_oc=AdrNSy6WsupGpsMuOjU50pOCnqWY2ANhcmx6cvnG2OJ5NNf7fxyEHGgXlecA2cJr9zA&_nc_zt=23&_nc_ht=scontent-gru1-2.xx&_nc_gid=pzOmeX9lwQ5tPwxP9lBVIA&_nc_ss=7a389&oh=00_Af21F ... (truncated) ```` ### About Maintained by **Data Direct** — a small suite of fast, reliable Facebook and web-data scrapers. Each actor returns clean, structured results with no login, cookies, or proxy setup required. Have a question or a custom data need? Open an issue on this actor. # Actor input Schema ## `query` (type: `string`): Search query (max 500 characters) ## `pages` (type: `integer`): Number of pages to return (1-10) ## `start_date` (type: `string`): Filter videos from this date (YYYY-MM-DD) ## `end_date` (type: `string`): Filter videos until this date (YYYY-MM-DD) ## `sort_by` (type: `string`): Sort order for results ## Actor input object example ```json { "query": "machine learning", "pages": 1, "sort_by": "relevance" } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "query": "machine learning" }; // Run the Actor and wait for it to finish const run = await client.actor("data_direct/facebook-videos-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "query": "machine learning" } # Run the Actor and wait for it to finish run = client.actor("data_direct/facebook-videos-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 '{ "query": "machine learning" }' | apify call data_direct/facebook-videos-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=data_direct/facebook-videos-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Search Videos Scraper", "description": "Search Facebook videos by keyword", "version": "1.0", "x-build-id": "ub0MCz2SNGSRfdrKp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/data_direct~facebook-videos-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-data_direct-facebook-videos-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/data_direct~facebook-videos-scraper/runs": { "post": { "operationId": "runs-sync-data_direct-facebook-videos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/data_direct~facebook-videos-scraper/run-sync": { "post": { "operationId": "run-sync-data_direct-facebook-videos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Query", "type": "string", "description": "Search query (max 500 characters)" }, "pages": { "title": "Pages", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of pages to return (1-10)", "default": 1 }, "start_date": { "title": "Start date", "type": "string", "description": "Filter videos from this date (YYYY-MM-DD)" }, "end_date": { "title": "End date", "type": "string", "description": "Filter videos until this date (YYYY-MM-DD)" }, "sort_by": { "title": "Sort by", "enum": [ "most_recent", "relevance" ], "type": "string", "description": "Sort order for results", "default": "relevance" } } }, "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 } } } } } } } } } } ```