# Loom Video Scraper (`automation-architech/loom-video-scraper`) Actor Input a Loom URL ๐Ÿ”— Get the transcript ๐Ÿ—ฃ๏ธ - **URL**: https://apify.com/automation-architech/loom-video-scraper.md - **Developed by:** [automationarchitech](https://apify.com/automation-architech) (community) - **Categories:** Automation, Developer tools - **Stats:** 250 total users, 2 monthly users, 100.0% runs succeeded, 6 bookmarks - **User rating**: 1.00 out of 5 stars ## Pricing $2.00/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 Loom Video Scraper is a tool that allows you to fetch your transcript from a video to increase productivity and efficiency in the workplace. ## ๐Ÿ”ง New Feature You can now login with your username and password to access private Looms that either you have created or have been shared with you. > (โš ๏ธ We are not responsible for TOS violation or other consequences of using this feature. Please rate limit your requests) ## What is Loom Video Scraper and how does it work? Loom Video Scraper is a web scraper tool that allows you to extract the transcript from a video simply by inputting the Loom video URL For example: this is the loom video URL of your video: https://www.loom.com/share/c823578e48064c1cbd8220c984a92df7 Loom video typically has an ID share/246246d31d054e0a8cf0f7fe6eaa86dc in the URL after the Loom domain make sure your URL looks like the URL above So take your URL and paste it into the input field you want to scrape. It gives you detailed information about your video transcript in structured formats such as JSON. You can even get this data via API without having to log in to the Apify platform. ## Why Should I use Loom Video Scraper? Loom video scraper can help you: - get a tl;dr from a colleague's update - group the video into topics - split a meeting into chapters - get a better understanding of your loom video - summarize important notes - catch missing info from a video ## How much will Loom Video Scraper URL cost? When it comes to scraping, it can be challenging to estimate the resources needed to extract data as use cases may vary significantly. That's why the best course of action is to run a test scrape with a small sample of input data and limited output. Youโ€™ll get your price per scrape, which youโ€™ll then multiply by the number of scrapes you intend to do. Watch this video for a few helpful tips. And don't forget that choosing a higher plan will save you money in the long run. ## How do I use Loom Video Scraper ? Loom Video Scraper was designed to be easy to start with even if you've never extracted data from the web before. Here's how you can scrape loom transcript with this tool: 1. Create a free Apify account using your email. 2. Open Loom Video Scraper. 3. Add Your Loom Video URL. 4. Click "Start" and wait for the data to be extracted. 5. Download your data in JSON. 6. Input The input for loom video scraper should be the URL you want to scrape loom video transcript. Click on the input tab for a full explanation of input in JSON. { "loom_url": [ { "url": "Your loom URL" } ] } Output sample The result will be wrapped into a json which you can find in the storage tab. ## Is it legal to scrape Loom videos? Yes, it is legal to scrape public data, all our data can be found manually if you use the loom web. Apify gives a great overview on their post here. Your feedback Weโ€™re always working on improving the performance of our Actors. So if youโ€™ve got any technical feedback for loom video Scraper or simply found a bug, please create an issue on the actorโ€™s Issues tab in Apify Console. # Actor input Schema ## `loom_url` (type: `array`): Loom URLs to open ## `login` (type: `string`): Your Loom account login email ## `password` (type: `string`): Your Loom account password ## Actor input object example ```json { "loom_url": [ { "url": "https://www.loom.com/share/679eefb452f640c3af83e25ce36a695a" } ] } ```` # 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 = { "loom_url": [ { "url": "https://www.loom.com/share/679eefb452f640c3af83e25ce36a695a" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("automation-architech/loom-video-scraper").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 = { "loom_url": [{ "url": "https://www.loom.com/share/679eefb452f640c3af83e25ce36a695a" }] } # Run the Actor and wait for it to finish run = client.actor("automation-architech/loom-video-scraper").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 '{ "loom_url": [ { "url": "https://www.loom.com/share/679eefb452f640c3af83e25ce36a695a" } ] }' | apify call automation-architech/loom-video-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-architech/loom-video-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Loom Video Scraper", "description": "Input a Loom URL ๐Ÿ”—\nGet the transcript ๐Ÿ—ฃ๏ธ", "version": "0.3", "x-build-id": "jDTRBeY1QdU1DUZKp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-architech~loom-video-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-architech-loom-video-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-architech~loom-video-scraper/runs": { "post": { "operationId": "runs-sync-automation-architech-loom-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-architech~loom-video-scraper/run-sync": { "post": { "operationId": "run-sync-automation-architech-loom-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "loom_url" ], "properties": { "loom_url": { "title": "Loom URL", "type": "array", "description": "Loom URLs to open", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "login": { "title": "Login", "type": "string", "description": "Your Loom account login email" }, "password": { "title": "Password", "type": "string", "description": "Your Loom account password" } } }, "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 } } } } } } } } } } ```