# 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
- **Features:** Limited permissions
- **Stats:** 253 total users, 20 monthly users, 100.0% runs succeeded, 6 bookmarks
- **User rating**: 3.92 out of 5 stars

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# 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

### 🌟 Get Started

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/Z6pTYL7gMcbFyA7Pp/openapi.json