# TikTok Transcript Scraper - JSON, SRT, VTT (`jamhimself/tiktok-transcript-scraper`) Actor Extract TikTok video transcripts and subtitles as clean JSON, text, SRT, VTT, or RAG chunks with timestamps. Native captions, bulk, no API key, pay per video. - **URL**: https://apify.com/jamhimself/tiktok-transcript-scraper.md - **Developed by:** [Jaime Martinez](https://apify.com/jamhimself) (community) - **Categories:** Developer tools, Videos, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 1,000 transcripts This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## TikTok Transcript Scraper for developers and AI pipelines TikTok Transcript Scraper for developers and AI pipelines — extract transcripts and subtitles from any public TikTok video as JSON, plain text, SRT, VTT, or RAG chunks with timestamps, in bulk, with no API key. It reads TikTok's own native caption tracks (no speech-to-text guessing), and you only pay for transcripts actually delivered. TikTok blocks datacenter IPs, so naive scrapers fail — this actor runs a hosted residential-proxy + uptime layer with automatic retries. ### What it does Give it a list of TikTok video URLs (or short `vm.tiktok.com` links, or raw IDs) and it returns the transcript for each: - **Clean JSON** with per-line timestamps - **Plain text**, **SRT**, **VTT**, and **RAG chunks** — richer output than $0.001 bare-text scrapers - Video metadata: author, description, duration, like/view counts, available caption languages ### Output formats | Option | What you get | |---|---| | `includePlainText` | Whole transcript as one string | | `includeSegments` | `[{ start, duration, text }]` | | `includeSrt` / `includeVtt` | Subtitle file strings | | `ragChunking` | Overlapping timestamped chunks for embeddings | ### RAG / LLM use cases Built for retrieval-augmented generation and AI agents. Turn TikTok content into clean, chunked, timestamped context for vector stores (LangChain, LlamaIndex) — or feed plain text straight to an LLM for summaries and analysis. Available as an MCP tool for agent workflows. ### Why it works when free scrapers fail TikTok throttles and captcha-walls datacenter IPs. This actor routes through residential proxies with automatic retry on fresh IPs, and reads TikTok's native caption tracks directly — so it returns real transcripts where free libraries get blocked or return nothing. ### Pricing **Pay per delivered transcript** — videos with no captions (no speech / captions off) are skipped for free. No subscription, no API key. See the **Pricing** tab for the current rate. ### FAQ - **Do I need a TikTok API key?** No. - **What if a video has no captions?** Reported in the skipped list, not charged. (Photo posts and silent videos have no transcript.) - **Auto-captions and translations?** Yes — original auto-captions are preferred; machine translations are used as a fallback for your requested language. - **Is this legal?** It accesses publicly available caption data. You are responsible for complying with TikTok's Terms of Service and applicable law in your use of the output. # Actor input Schema ## `videoUrls` (type: `array`): TikTok video URLs or IDs — extract the transcript / subtitles / captions of each as JSON, SRT, VTT, or RAG chunks. Accepts full URLs, vm.tiktok.com short links, or raw video IDs. ## `languages` (type: `array`): Language codes in order of preference (e.g. ["en", "es"]). Prefers the original caption over machine translations. ## `includeSegments` (type: `boolean`): Include the array of {start, duration, text} segments. ## `includePlainText` (type: `boolean`): Include the whole transcript as one clean string. ## `includeSrt` (type: `boolean`): Include the transcript as a SubRip (.srt) subtitle string. ## `includeVtt` (type: `boolean`): Include the transcript as a WebVTT (.vtt) subtitle string. ## `ragChunking` (type: `boolean`): Split the transcript into timestamped chunks for embedding pipelines. ## `chunkMaxChars` (type: `integer`): Maximum characters per RAG chunk. ## `chunkOverlapChars` (type: `integer`): Approximate character overlap between consecutive chunks. ## `concurrency` (type: `integer`): Videos processed in parallel (1-8). ## `proxyCountryCode` (type: `string`): Optional two-letter country code for proxies. ## Actor input object example ```json { "videoUrls": [ "https://www.tiktok.com/@khaby.lame/video/7106658991907802411" ], "languages": [ "en" ], "includeSegments": true, "includePlainText": true, "includeSrt": false, "includeVtt": false, "ragChunking": false, "chunkMaxChars": 1200, "chunkOverlapChars": 150, "concurrency": 4 } ```` # 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 = { "videoUrls": [ "https://www.tiktok.com/@khaby.lame/video/7106658991907802411" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jamhimself/tiktok-transcript-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 = { "videoUrls": ["https://www.tiktok.com/@khaby.lame/video/7106658991907802411"] } # Run the Actor and wait for it to finish run = client.actor("jamhimself/tiktok-transcript-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 '{ "videoUrls": [ "https://www.tiktok.com/@khaby.lame/video/7106658991907802411" ] }' | apify call jamhimself/tiktok-transcript-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jamhimself/tiktok-transcript-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Transcript Scraper - JSON, SRT, VTT", "description": "Extract TikTok video transcripts and subtitles as clean JSON, text, SRT, VTT, or RAG chunks with timestamps. Native captions, bulk, no API key, pay per video.", "version": "1.0", "x-build-id": "Ppc65vF7PWGPgOZjA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jamhimself~tiktok-transcript-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jamhimself-tiktok-transcript-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jamhimself~tiktok-transcript-scraper/runs": { "post": { "operationId": "runs-sync-jamhimself-tiktok-transcript-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jamhimself~tiktok-transcript-scraper/run-sync": { "post": { "operationId": "run-sync-jamhimself-tiktok-transcript-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "videoUrls" ], "properties": { "videoUrls": { "title": "Video URLs or IDs", "type": "array", "description": "TikTok video URLs or IDs — extract the transcript / subtitles / captions of each as JSON, SRT, VTT, or RAG chunks. Accepts full URLs, vm.tiktok.com short links, or raw video IDs.", "items": { "type": "string" } }, "languages": { "title": "Preferred languages", "type": "array", "description": "Language codes in order of preference (e.g. [\"en\", \"es\"]). Prefers the original caption over machine translations.", "default": [ "en" ], "items": { "type": "string" } }, "includeSegments": { "title": "Include timestamped segments", "type": "boolean", "description": "Include the array of {start, duration, text} segments.", "default": true }, "includePlainText": { "title": "Include plain text", "type": "boolean", "description": "Include the whole transcript as one clean string.", "default": true }, "includeSrt": { "title": "Include SRT", "type": "boolean", "description": "Include the transcript as a SubRip (.srt) subtitle string.", "default": false }, "includeVtt": { "title": "Include VTT", "type": "boolean", "description": "Include the transcript as a WebVTT (.vtt) subtitle string.", "default": false }, "ragChunking": { "title": "RAG-ready chunks", "type": "boolean", "description": "Split the transcript into timestamped chunks for embedding pipelines.", "default": false }, "chunkMaxChars": { "title": "Chunk size (chars)", "minimum": 200, "maximum": 20000, "type": "integer", "description": "Maximum characters per RAG chunk.", "default": 1200 }, "chunkOverlapChars": { "title": "Chunk overlap (chars)", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Approximate character overlap between consecutive chunks.", "default": 150 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 8, "type": "integer", "description": "Videos processed in parallel (1-8).", "default": 4 }, "proxyCountryCode": { "title": "Proxy country", "type": "string", "description": "Optional two-letter country code for proxies." } } }, "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 } } } } } } } } } } ```