# Loom Transcript Scraper (`scraperoka/loom-transcript-scraper`) Actor 🎥 Loom Transcript Scraper automatically extracts searchable transcripts from Loom videos. ⚡ Save time, improve content discovery, and reuse insights for research, SEO, training, and reporting. 🔎 Fast, reliable, and easy to integrate. - **URL**: https://apify.com/scraperoka/loom-transcript-scraper.md - **Developed by:** [Scraperoka](https://apify.com/scraperoka) (community) - **Categories:** AI, Automation, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 results 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.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 Transcript Scraper 🎬 **Loom Transcript Scraper** automatically extracts text from Loom video URLs and saves the transcript phrases to a dataset—ideal for turning Loom auto captions into usable text for research, analysis, marketing, and documentation workflows. Whether you’re looking for a *loom transcript scraper*, a *Loom video transcript downloader*, or a *Loom transcript export* workflow, this actor helps you scale *Loom caption scraping tool* results across multiple videos, saving you hours of manual work. If you’re a marketer, data analyst, researcher, or developer trying to *extract text from Loom video* programmatically, you’ll get structured transcript data you can analyze or import directly into your pipeline. --- ### Why choose Loom Transcript Scraper? | Feature | Benefit | |---|---| | ✅ **All-in-one transcript extraction** | Processes Loom video URLs and returns transcript phrases for each video in one run | | ✅ **Proxy resilience with fallback logic** | Uses built-in proxy support for reliable scraping when requests are blocked | | ✅ **Retry mechanism** | Includes retries with fallback handling to improve success when requests fail intermittently | | ✅ **Structured output for easy reuse** | Stores `url`, `video_id`, `transcript`, `transcript_count`, `status`, and `timestamp` in a consistent dataset | | ✅ **Scales across batches of URLs** | Feed multiple `startUrls` and get one result entry per video | | ✅ **Automation-friendly dataset saving** | Pushes results immediately so you can start exporting and analyzing without waiting for the entire batch | --- ### Key features - 🔍 **Loom transcript phrases extraction**: Retrieves transcript phrases and formats them into `{ start, value }` segments - 🌐 **Flexible input via Loom URLs**: Accepts one or more Loom share-style video URLs through `startUrls` - 🛡️ **Built-in proxy support + fallback**: If requests are blocked, the actor automatically falls back to other proxy strategies - 🔄 **Resilient fetching with retries**: Uses multiple attempts to reduce failures caused by transient issues - 📊 **Data completeness indicators**: Outputs `transcript_count` and a boolean `status` so you can filter successes quickly - 💾 **Real-time dataset saving**: Each video result is pushed immediately to the dataset as it’s processed - 🧾 **Consistent failure records**: When something goes wrong, it still saves an entry with an empty transcript and `status: false` --- ### Input Provide input via an `input.json` file. Example structure: ```json { "startUrls": [ { "url": "https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5" } ], "proxyConfiguration": { "useApifyProxy": false } } ```` #### Input Fields | Field | Required | Description | |---|---|---| | `startUrls` | ✅ | A list of Loom video URLs to scrape. Provide one or more entries in the list. The actor expects Loom share-style URLs (e.g., `https://www.loom.com/share/...`). | | `proxyConfiguration` | ❌ | Proxy settings for the scraper. If disabled, it uses direct connections with automatic fallback to datacenter and then residential proxies if Loom blocks requests. | | `proxyConfiguration • proxy support` | ❌ | Set `false` to start without Apify Proxy (direct connections with fallback). In the provided schema, the default is `false`. | *** ### Output After execution, the actor saves each video’s data in JSON format to the default dataset (`Scraped Videos Transcripts`). Sample output entry: ```json [ { "url": "https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5", "video_id": "e41353f2fe1c43eba6c6829693e0f2c5", "transcript": [ { "start": 0.0, "value": "Welcome everyone!" } ], "transcript_count": 1, "status": true, "timestamp": "2026-06-02T12:34:56.789123" } ] ``` In failure cases, the actor pushes a record shaped the same way, with an empty transcript and additional error details: ```json [ { "url": "https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5", "video_id": "e41353f2fe1c43eba6c6829693e0f2c5", "transcript": [], "transcript_count": 0, "status": false, "used_proxy_type": "error", "timestamp": "2026-06-02T12:34:56.789123", "error_message": "..." } ] ``` #### Output Fields | Field | Type | Description | |---|---|---| | `url` | string | The Loom video URL that was processed | | `video_id` | string | The extracted video ID from the end of the Loom URL | | `transcript` | array | The transcript phrases, formatted as an array of `{ start, value }` objects | | `transcript_count` | number | Number of transcript phrases extracted | | `status` | boolean | `true` when a transcript was successfully fetched; otherwise `false` | | `timestamp` | string | ISO-formatted timestamp of when the result was saved | | `used_proxy_type` | string | Present in error records to indicate the outcome as `"error"` | | `error_message` | string | Present in error records with the error details | You can export the dataset from Apify Console as JSON or CSV (depending on your chosen export options). *** ### How to use Loom Transcript Scraper (via Apify Console) 1. **Open Apify Console**\ Log in at [console.apify.com](https://console.apify.com) and go to the **Actors** tab. 2. **Find Loom Transcript Scraper**\ Search for **Loom Transcript Scraper** and open the actor page. 3. **Add your input URLs**\ In the **INPUT** panel, provide `startUrls` with one or more Loom video URLs (e.g. `https://www.loom.com/share/...`). 4. **(Optional) Configure proxy settings**\ If you want proxy support, configure `proxyConfiguration`.\ Leave `proxy support` as `false` to start with direct connections and rely on fallback if requests are blocked. 5. **Run the actor**\ Click **Run**. The actor will process each video and push results as they complete. 6. **Monitor logs and progress**\ Watch the runtime logs to see attempts and whether transcripts were fetched successfully. 7. **Open the dataset output**\ After the run finishes, open **Scraped Videos Transcripts** and inspect each row (one per Loom video). 8. **Export results**\ Export the dataset as JSON or CSV for downstream analysis, CRM ingestion, or reporting. No coding required—get accurate results from your Loom transcript retrieval workflow in minutes 🚀 *** ### Advanced features & SEO optimization - 🛡️ **Proxy fallback for reliable scraping**: Built to keep going when Loom blocks requests by switching proxy strategies automatically - 🔄 **Retry resilience**: Uses retries to handle transient failures while fetching Loom captions and transcript data - 📦 **Loom transcript export ready**: Outputs a structured dataset with `transcript` phrases and `transcript_count` so you can easily filter and analyze - 💾 **Immediate saving per video**: Stores each video result right away—perfect for long batches and iterative workflows - 🧠 **Engineered-for-purpose extraction**: Optimized for *loom transcript scraper* and *Loom auto transcript scraper* use cases—turning Loom transcript text into usable data *** ### Best use cases - 🎯 **Lead generation teams enriching messaging**: Convert Loom video transcripts into outreach-ready notes and talking points for campaigns - 📚 **Researchers building corpora**: Collect *Loom transcript text extraction* output across many videos for qualitative or quantitative analysis - 📈 **Content marketers repurposing footage**: Use *Loom transcript to text* segments to draft blog outlines, scripts, and social posts faster - 🧾 **Sales enablement and training**: Build searchable transcript archives for onboarding and product training materials - 💻 **Developers building pipelines**: Automate *get Loom transcripts programmatically* into your data workflows and internal tools - 📊 **Data analysts measuring themes and topics**: Feed *download Loom captions* output into NLP or dashboard pipelines - 🗂️ **Operations teams standardizing documentation**: Speed up transcript-based SOP creation by exporting *Loom transcript export* results at scale *** ### Technical specifications - **Supported Input Formats** - ✅ `startUrls`: array of Loom video URLs (share-style URLs such as `https://www.loom.com/share/...`) - **Proxy Support** - ✅ Uses proxy support when configured, with automatic fallback when Loom blocks requests - **Retry Mechanism** - ✅ Retries up to **3 attempts** for fetching transcripts, improving resilience against transient issues - **Dataset Structure** - ✅ One dataset row per processed video - ✅ Fields include: `url`, `video_id`, `transcript`, `transcript_count`, `status`, `timestamp` - **Rate Limits & Performance** - ✅ Designed for batch processing of multiple `startUrls`, saving each result immediately as it’s completed - **Limitations** - ❌ If the transcript can’t be retrieved, the actor saves a failure record with `transcript: []`, `transcript_count: 0`, and `status: false` *** ### FAQ #### Can Loom Transcript Scraper download Loom transcripts in batches? ✅ Yes. You can provide multiple Loom video URLs in `startUrls`, and the actor processes them one by one, pushing a result entry into the dataset for each video as it completes. #### What output do I get back from Loom Transcript Scraper? ✅ You get a structured dataset entry per video containing `url`, `video_id`, `transcript` (as an array of `{ start, value }` phrase objects), `transcript_count`, `status`, and `timestamp`. Failed runs are also recorded with `transcript: []` and `status: false`. #### Do I need to configure proxies? ❌ Not always. If `proxyConfiguration` is not provided (or `proxy support` is `false`), the actor starts with direct connections and then uses fallback strategies automatically if Loom blocks requests. #### How do I integrate this into a Python or data pipeline? 💻 You don’t need to write code inside the actor. You run it in Apify Console, then export the dataset (JSON/CSV) and load it into your Python notebooks, ETL jobs, or analysis tools. #### What happens if a transcript can’t be fetched for a video? ❌ The actor still pushes a dataset record with `transcript: []`, `transcript_count: 0`, and `status: false`, along with `used_proxy_type: "error"` and an `error_message` field. #### Do you support Loom transcript export for developers? ✅ Yes. The actor’s output is already structured and consistent, making it straightforward to use as a *Loom transcript API*-style data source for downstream workflows (for example, transforming the transcript array into text). #### Is this only for public Loom videos? ✅ The actor is intended for scraping transcript data from publicly available sources. If access is restricted or content is not available, you’ll see failures reflected in `status: false` and an empty `transcript`. #### Does Loom Transcript Scraper handle caption text automatically? ✅ Yes. It retrieves the transcript phrases and formats them into a transcript array, which is useful for “Loom transcript to text” workflows and downstream analysis of caption text. *** ### Support & feature requests Want to improve your Loom transcript scraping workflow with this **Loom Transcript Scraper**? We’d love to hear from you. - 💡 **Feature Requests**: Examples include adding CSV-friendly transcript formatting, improving transcript phrase structuring for specific analytics needs, or enhancements that make the output even easier to join with other datasets. - 📧 **Contact**: Send feedback to . Your feedback helps shape what we build next for Loom transcript retrieval at scale. *** ### Closing CTA / Final thoughts *Get the most comprehensive, SEO-optimized Loom Transcript Scraper workflow for turning Loom videos into structured transcript data—fast.* # Actor input Schema ## `startUrls` (type: `array`): Enter one or more Loom video URLs (e.g., https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5). ## `proxyConfiguration` (type: `object`): Proxy settings for the scraper. If disabled, will use direct connections with automatic fallback to datacenter and then residential proxies if Loom blocks requests. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5" } ], "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "startUrls": [ { "url": "https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5" } ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("scraperoka/loom-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 = { "startUrls": [{ "url": "https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5" }], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("scraperoka/loom-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 '{ "startUrls": [ { "url": "https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5" } ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call scraperoka/loom-transcript-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraperoka/loom-transcript-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Loom Transcript Scraper", "description": "🎥 Loom Transcript Scraper automatically extracts searchable transcripts from Loom videos. ⚡ Save time, improve content discovery, and reuse insights for research, SEO, training, and reporting. 🔎 Fast, reliable, and easy to integrate.", "version": "0.1", "x-build-id": "e1xnytM383ACOc7uZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraperoka~loom-transcript-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraperoka-loom-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraperoka~loom-transcript-scraper/runs": { "post": { "operationId": "runs-sync-scraperoka-loom-transcript-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraperoka~loom-transcript-scraper/run-sync": { "post": { "operationId": "run-sync-scraperoka-loom-transcript-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Loom Video URLs", "type": "array", "description": "Enter one or more Loom video URLs (e.g., https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5).", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings for the scraper. If disabled, will use direct connections with automatic fallback to datacenter and then residential proxies if Loom blocks requests.", "default": {} } } }, "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 } } } } } } } } } } ```