# Loom Transcript Scraper (`louisdeconinck/loom-transcript-scraper`) Actor

Extract transcripts from Loom videos quickly and affordably. Process multiple videos at once using URLs or IDs. Get clean, formatted transcripts without timestamps. Perfect for content analysis, documentation, accessibility, and data processing.

- **URL**: https://apify.com/louisdeconinck/loom-transcript-scraper.md
- **Developed by:** [Louis Deconinck](https://apify.com/louisdeconinck) (community)
- **Categories:** Developer tools, Automation, AI
- **Stats:** 231 total users, 3 monthly users, 100.0% runs succeeded, 6 bookmarks
- **User rating**: 3.92 out of 5 stars

## Pricing

$9.00/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/actors/running/actors-in-store.md#rental-actors

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

This Apify actor quickly and affordably extracts transcripts from Loom videos using URLs or IDs.

### 🎯 Use Cases

- **Content Analysis:** Extract transcripts from Loom videos for analysis, searchability, or archival purposes
- **Documentation:** Convert video content into text format for documentation or reference
- **Accessibility:** Make video content accessible in text format
- **Data Processing:** Extract transcripts for further processing, summarization, or integration with other tools

### ✨ Features

- **Flexible Input:** Accepts both Loom video URLs and video IDs
- **Clean Output:** Provides clean, formatted transcripts without timestamps or metadata
- **Batch Processing:** Process multiple videos in a single run
- **Automatic ID Extraction:** Automatically extracts video IDs from full Loom URLs
- **Error Handling:** Robust error handling for invalid or inaccessible videos

### 📤 Output

- `videoId`: The unique identifier of the Loom video
- `transcript`: The complete transcript text of the video, cleaned and formatted

**Example Output:**

```json
{
	"videoId": "912e89a68ccc42c5ab5096fec7cd63d6",
	"transcript": "Hey, Chanel here from the Loom team. I'm going to show you how to get started with Loom. First, an introduction to our different recorders..."
}
```

### 📥 Input

- `loomUrls`: An array of Loom video URLs or video IDs to process

Tip: Hover over a loom video to copy the share url.

**Example Input:**

```json
{
    "loomUrls": [
        "https://www.loom.com/share/941d97ad3109474b906a23d1ba7bf9d1",
        "https://www.loom.com/share/0fe8a51df4f9495abb998382049fad51",
        "c823578e48064c1cbd8220c984a92df7",
        "https://www.loom.com/share/912e89a68ccc42c5ab5096fec7cd63d6?sid=2e96ab06-46c4-4f14-b425-8944e89fb9e2"
    ]
}
```

### 🚀 Usage

To use this Apify Actor, follow these steps:

1. **Get started**: Click on the "Try for free" button to [make an Apify account](https://apify.com?fpr=7p4wu) and log in.
2. **Add input:** Provide an array of Loom video URLs or IDs in the input JSON.
3. **Run the actor:** Click on the "Start" button to begin processing.
4. **Monitor execution:** Watch as transcripts are extracted and processed in real-time.
5. **Retrieve the output:** Once complete, download results in JSON format or access via the Apify API.

### 🔌 Integrations

**Make.com Integration:** Automate your workflow by connecting this actor with other services through [Make](https://www.make.com/en/register?pc=louisdeconinck). Some possibilities include:

- Automatically storing transcripts in a database
- Sending transcript notifications via email
- Processing transcripts for content analysis
- Integrating with content management systems

**Gmail Integration:** Use [Google Workspace](https://referworkspace.app.goo.gl/wUpc) to:

- Send automated transcript summaries
- Archive transcripts for future reference
- Share transcripts with team members

### 🌟 Start for Free

Ready to extract Loom transcripts? Click the "Try for free" button to get started with [Apify](https://apify.com?fpr=7p4wu). Our platform offers:

- **Scalability:** Process multiple videos simultaneously
- **Reliability:** Stable and maintained infrastructure
- **Integration:** Easy connection with other tools and services
- **Ease of Use:** Simple setup with clear input/output structure

# Actor input Schema

## `loomUrls` (type: `array`):

List of Loom video URLs or video IDs

## Actor input object example

```json
{
  "loomUrls": [
    "https://www.loom.com/share/912e89a68ccc42c5ab5096fec7cd63d6"
  ]
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "loomUrls": [
        "https://www.loom.com/share/912e89a68ccc42c5ab5096fec7cd63d6"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("louisdeconinck/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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "loomUrls": ["https://www.loom.com/share/912e89a68ccc42c5ab5096fec7cd63d6"] }

# Run the Actor and wait for it to finish
run = client.actor("louisdeconinck/loom-transcript-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "loomUrls": [
    "https://www.loom.com/share/912e89a68ccc42c5ab5096fec7cd63d6"
  ]
}' |
apify call louisdeconinck/loom-transcript-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,louisdeconinck/loom-transcript-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/kMj7hnBbvUn2pc1XZ/builds/D3zkoII7xtKrtI8uU/openapi.json