# Facebook Transcript Scraper - Low-costπŸ’²πŸ”₯πŸ“„πŸŽ¬ (`delectable_incubator/facebook-transcript-scraper-low-cost`) Actor Scrape Facebook video transcripts and engagement data πŸŽ¬πŸ” with a powerful video analytics scraper. Extract video IDs, titles, transcripts, views, plays, reactions, and source URLs. Ideal for NLP projects, content analysis, AI training datasets, social media research, and video intelligence πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/facebook-transcript-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Videos, Social media, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Video Transcript Scraper

--- ## Facebook Video Transcript Scraper πŸŽ¬πŸ“„πŸ“Š The Facebook Video Transcript Scraper is a powerful and scalable Apify Actor designed to extract structured transcripts, captions, subtitles, and engagement data directly from public Facebook videos. It supports multiple Facebook video URL formats including share links, profile videos, and page videos while automatically extracting available captions/subtitles and converting spoken video content into clean, structured datasets. Perfect for content analysis, NLP pipelines, AI training datasets, media monitoring, sentiment analysis, speech analytics, and social media intelligence workflows. --- ### 🎯 What This Scraper Does Simply provide one or multiple Facebook video URLs and the scraper handles everything automatically. βœ… Extracts video transcripts and captions βœ… Supports bulk video URL scraping βœ… Handles multiple Facebook video formats βœ… Extracts engagement metrics automatically βœ… Processes public profile and page videos βœ… Converts spoken content into structured datasets βœ… Generates clean export-ready output βœ… Ideal for AI, NLP, and analytics pipelines βœ… Ready for automation workflows --- ### πŸ“Š Data Extracted #### πŸŽ₯ Video Information | Field | Description | | ---------------- | -------------------------------- | | πŸ†” videoId | Unique Facebook video identifier | | 🏷️ title | Video title | | πŸ“„ transcript | Captions / subtitles text | | πŸ‘οΈ viewCount | Number of video views | | ▢️ playCount | Number of plays | | πŸ‘ reactionCount | Total reactions | | πŸ”— sourceUrl | Original Facebook video URL | --- ### πŸ›  How to Use #### 1️⃣ Configure Input Provide one or multiple Facebook video URLs: ```` { "urls": \[ "https://www.facebook.com/share/v/17jekeg46H/", "https://www.facebook.com/100044280796927/videos/2301741263587145", "https://www.facebook.com/PrimeVideoIN/videos/783325287492075/" ] } ``` #### 2️⃣ Run the Actor β€’ Loads Facebook video pages β€’ Processes public videos automatically β€’ Extracts transcripts and subtitles β€’ Collects engagement metrics β€’ Normalizes structured datasets β€’ Handles multiple Facebook URL formats β€’ Stops automatically after processing all URLs #### 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "urls": \[ "https://www.facebook.com/share/v/17jekeg46H/", "https://www.facebook.com/100044280796927/videos/2301741263587145", "https://www.facebook.com/PrimeVideoIN/videos/783325287492075/" ] } ``` #### Input Fields | Field | Type | Description | | ----- | ----- | --------------------------------------------------------------------------------------------------------------- | | urls | array | List of Facebook video URLs to extract transcripts from. Supports share links, profile videos, and page videos. | --- ### πŸ“€ Output Example ``` { "videoId": "694245476565912", "title": "Judge drops BOMBSHELL ruling against Trump & Hegseth", "transcript": "We're also working with the military on it because they want to make sure everything's perfect...", "viewCount": "243647", "playCount": "100400", "reactionCount": "12800", "sourceUrl": "https://www.facebook.com/100044280796927/videos/2301741263587145" } ```` --- ### πŸ“Š Output Explanation | Use Case | Description | | -------------------------- | --------------------------------------- | | πŸ“Š Content Analysis | Analyze spoken content from videos | | πŸ€– AI & NLP | Build transcript datasets for LLMs | | πŸ“ˆ Social Media Monitoring | Monitor messaging and engagement trends | | 🧠 Sentiment Analysis | Apply NLP models to spoken content | | 🎬 Media Intelligence | Track themes and narratives in videos | | πŸ” Research Workflows | Structure unstructured spoken data | --- ### 🌍 Why Use This Scraper? 🎬 Extract real spoken content from Facebook videos πŸ“„ Convert captions into structured datasets ⚑ Fast and automated extraction πŸ“Š Analytics-ready output πŸ€– Perfect for NLP and AI pipelines πŸ” Supports multiple Facebook URL formats πŸ“¦ Bulk URL scraping support 🧠 Ideal for researchers, analysts, marketers, and developers πŸš€ Scalable for both small and enterprise workloads --- ### ❓ FAQ #### How does this scraper work? The scraper loads public Facebook video pages and extracts available captions/subtitles along with engagement metrics and metadata. #### Does every video contain transcripts? No. Only public videos with captions/subtitles enabled will return transcript data. #### Can I scrape multiple videos in one run? Yes. You can provide multiple video URLs inside the urls array. #### What Facebook URL formats are supported? The scraper supports: β€’ Share links β€’ Profile video URLs β€’ Facebook page video URLs #### Can I export the data? Yes. Results can be exported as JSON, CSV, Excel, XML, or HTML. #### Is the data extracted live? Yes. The scraper extracts live public data directly from Facebook during every run. #### Can I use the transcripts for AI training? Yes. The structured transcript output is suitable for NLP, AI training, summarization, and analytics workflows. #### What happens if a video is private? Private or restricted videos are not supported and will not return transcript data. #### How long does a run take? Most runs complete within minutes depending on the number of URLs processed. --- ### πŸš€ How to Use 1️⃣ Sign up β€” Create a free Apify account 2️⃣ Find the tool β€” Search for "Facebook Video Transcript Scraper" in the Apify Store 3️⃣ Configure URLs β€” Add one or multiple Facebook video URLs 4️⃣ Run it β€” Start the Actor and wait for extraction 5️⃣ Export data β€” Download results in JSON, CSV, Excel, XML, or HTML --- ### ⚠️ Disclaimer This project is an independent tool and is not affiliated with, endorsed by, or sponsored by Facebook. β€’ Only public Facebook videos are supported β€’ Transcript extraction depends on available captions/subtitles β€’ Private or restricted videos are not supported --- ### πŸ’Έ Pricing This scraper runs on a **pay-per-result pricing model**. You only pay for successfully extracted records. πŸ’³ **Price:** $4.99 / 1,000 results --- ### Related Actors If you're interested in other Facebook, YouTube, Video, AI, NLP, Social Media, or Transcript scraping solutions, explore more PrimeScrape tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation. Contact us for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `urls` (type: `array`): List of Facebook video URLs to scrape transcripts from. Supported URL formats: πŸ”— Share links: https://www.facebook.com/share/v/17jekeg46H/ πŸ‘€ Profile videos: https://www.facebook.com/100044280796927/videos/2301741263587145 πŸ“„ Page videos: https://www.facebook.com/PrimeVideoIN/videos/783325287492075/ ⚠️ Only public videos with captions/subtitles enabled will have transcripts. ⚠️ URLs must be from facebook.com. ## Actor input object example ```json { "urls": [ "https://www.facebook.com/share/v/17jekeg46H/", "https://www.facebook.com/100044280796927/videos/2301741263587145", "https://www.facebook.com/PrimeVideoIN/videos/783325287492075/" ] } ```` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://www.facebook.com/share/v/17jekeg46H/", "https://www.facebook.com/100044280796927/videos/2301741263587145", "https://www.facebook.com/PrimeVideoIN/videos/783325287492075/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/facebook-transcript-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "urls": [ "https://www.facebook.com/share/v/17jekeg46H/", "https://www.facebook.com/100044280796927/videos/2301741263587145", "https://www.facebook.com/PrimeVideoIN/videos/783325287492075/", ] } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/facebook-transcript-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://www.facebook.com/share/v/17jekeg46H/", "https://www.facebook.com/100044280796927/videos/2301741263587145", "https://www.facebook.com/PrimeVideoIN/videos/783325287492075/" ] }' | apify call delectable_incubator/facebook-transcript-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/facebook-transcript-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Transcript Scraper - Low-costπŸ’²πŸ”₯πŸ“„πŸŽ¬", "description": "Scrape Facebook video transcripts and engagement data πŸŽ¬πŸ” with a powerful video analytics scraper. Extract video IDs, titles, transcripts, views, plays, reactions, and source URLs. Ideal for NLP projects, content analysis, AI training datasets, social media research, and video intelligence πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "fe8bbA3jBXkSTeYhE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~facebook-transcript-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-facebook-transcript-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~facebook-transcript-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-facebook-transcript-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~facebook-transcript-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-facebook-transcript-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "Facebook Video URLs 🎬", "type": "array", "description": "List of Facebook video URLs to scrape transcripts from.\n\nSupported URL formats:\n\nπŸ”— Share links:\nhttps://www.facebook.com/share/v/17jekeg46H/\n\nπŸ‘€ Profile videos:\nhttps://www.facebook.com/100044280796927/videos/2301741263587145\n\nπŸ“„ Page videos:\nhttps://www.facebook.com/PrimeVideoIN/videos/783325287492075/\n\n⚠️ Only public videos with captions/subtitles enabled will have transcripts.\n⚠️ URLs must be from facebook.com.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```