# Facebook Page Search Scraper ยท No Cookies (`data-slayer/facebook-search-pages`) Actor Search and discover Facebook pages by keyword without login. Get page names, URLs, Facebook IDs, verification status, and profile images. Build prospect lists and competitor databases from Facebook search results. No cookies, no authentication. JSON/CSV/Excel export. - **URL**: https://apify.com/data-slayer/facebook-search-pages.md - **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community) - **Categories:** Lead generation, Social media, Other - **Stats:** 70 total users, 25 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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.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 Page Search Scraper ยท No Cookies Extract Facebook page search results without authentication or cookies. This scraper enables social media marketers to build comprehensive contact databases and identify potential leads through keyword-based page discovery, all without requiring a Facebook account. ### ๐Ÿ“บ Video Tutorial: How it Works https://www.youtube.com/watch?v=C3Nuibjmqq4 --- ### Key Features ๐Ÿ”’ **Cookieless / No Login Required** - Access public Facebook page search results without authentication, eliminating account suspension risks and simplifying your workflow. ๐Ÿ“ˆ **Scalable Architecture** - Process multiple search queries simultaneously to build extensive lead databases efficiently. โœ… **Rich Profile Data** - Capture essential page information including profile URLs, page names, Facebook IDs, verification status, and profile images with full metadata. โšก **Fast & Reliable** - Optimized extraction engine delivers consistent results with minimal latency for time-sensitive marketing campaigns. ๐Ÿ“Š **Export-Ready Formats** - Download data in JSON, CSV, or Excel formats for immediate integration with CRM systems and marketing automation tools. ### Use Cases **Social Media Marketers**: Build targeted prospect lists by searching for pages in specific niches or industries. Export contact data directly into your outreach campaigns to connect with potential brand partners or advertising opportunities. **Market Research Analysts**: Identify competitor pages and emerging players in your market segment. Analyze page verification patterns and profile characteristics to understand market positioning and brand presence. **Sales Development Teams**: Generate qualified leads by discovering business pages matching your ideal customer profile. Enrich your sales pipeline with verified Facebook page data for multi-channel outreach strategies. ### Inputs | Field | Type | Description | |-------|------|-------------| | query | String | Search term or keyword to find relevant Facebook pages (e.g., "digital marketing agency", "coffee shop") | ### Outputs **Formats**: JSON, CSV, Excel **Fields**: - `type` - Entity type (page) - `profile_url` - Direct URL to the Facebook page - `url` - Canonical page URL - `name` - Page display name - `facebook_id` - Unique Facebook page identifier - `is_verified` - Verification status (true/false) - `image` - Profile image object containing URI, width, height, and scale properties ### How to Use **Step 1**: Enter your target search query in the `query` field (e.g., "fitness coaching", "real estate agents", "restaurants"). **Step 2**: Run the scraper to begin extracting page search results. **Step 3**: Download your results in JSON, CSV, or Excel format for immediate use in your marketing tools. ### Sample Output ```json [ { "type": "page", "profile_url": "https://www.facebook.com/techstartupshub", "url": "https://www.facebook.com/techstartupshub", "image": { "uri": "https://scontent.fknu1-3.fna.fbcdn.net/v/t39.30808-1/profile_image.jpg", "width": 120, "height": 120, "scale": 2 }, "name": "Tech Startups Hub", "facebook_id": "100075432198765", "is_verified": true } ] ```` ### ๐Ÿงฉ Other Facebook Actors by Data Slayer | Actor | What it does | Link | |---|---|---| | Facebook Page Details Scraper | Get full page profiles โ€” followers, contact info, ratings | [Try it](https://apify.com/data-slayer/facebook-page-details) | | Facebook Reviews Scraper | Extract customer reviews from any Facebook page | [Try it](https://apify.com/data-slayer/facebook-page-reviews) | | Facebook Posts Scraper | Extract posts from any Facebook page | [Try it](https://apify.com/data-slayer/facebook-page-posts) | | Facebook Group Posts Scraper | Extract posts from any public Facebook group | [Try it](https://apify.com/data-slayer/facebook-group-posts) | | Facebook People Search Scraper | Search and find Facebook profiles by keyword | [Try it](https://apify.com/data-slayer/facebook-search-people) | | Facebook Events Scraper | Discover Facebook events by keyword search | [Try it](https://apify.com/data-slayer/facebook-search-events) | | Facebook Marketplace Listing Scraper | Extract detailed listing data from Facebook Marketplace | [Try it](https://apify.com/data-slayer/facebook-marketplace-details) | **Powerful workflow:** Search for pages here โ†’ feed those page URLs into [Facebook Page Details Scraper](https://apify.com/data-slayer/facebook-page-details) to get full business profiles with phone, email, website, and ratings. ### ๐Ÿ’ฌ Feedback and Support We actively maintain this actor and ship improvements based on user feedback. If you run into any issues or have ideas for new features: - Create an issue on the Actor's **Issues tab** in Apify Console - Rate the actor if it helped you โ€” it helps others find it too We typically respond within 24 hours. # Actor input Schema ## `query` (type: `string`): Search term or keyword ## `maxPages` (type: `integer`): Maximum number of pages to fetch (pagination handled automatically) ## Actor input object example ```json { "query": "new york", "maxPages": 1 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("data-slayer/facebook-search-pages").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = {} # Run the Actor and wait for it to finish run = client.actor("data-slayer/facebook-search-pages").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call data-slayer/facebook-search-pages --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=data-slayer/facebook-search-pages", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Page Search Scraper ยท No Cookies", "description": "Search and discover Facebook pages by keyword without login. Get page names, URLs, Facebook IDs, verification status, and profile images. Build prospect lists and competitor databases from Facebook search results. No cookies, no authentication. JSON/CSV/Excel export.", "version": "1.0", "x-build-id": "0xUrpX4uzgPZqeg7Z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/data-slayer~facebook-search-pages/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-data-slayer-facebook-search-pages", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/data-slayer~facebook-search-pages/runs": { "post": { "operationId": "runs-sync-data-slayer-facebook-search-pages", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/data-slayer~facebook-search-pages/run-sync": { "post": { "operationId": "run-sync-data-slayer-facebook-search-pages", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Search Query", "type": "string", "description": "Search term or keyword", "default": "new york" }, "maxPages": { "title": "Maximum Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of pages to fetch (pagination handled automatically)", "default": 1 } } }, "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 } } } } } } } } } } ```