Get Loom Transcript
Pricing
$9.00/month + usage
Get Loom Transcript
LAST UPDATE MARCH 17, 2025—This will help you scrape Loom transcripts using the URL of a Loom. You can add multiple URL's to scrape. I use this in my make/zapier automation workflow.
3.0 (2)
Pricing
$9.00/month + usage
4
Monthly users
25
Runs succeeded
>99%
Response time
22 hours
Last modified
a month ago
You can access the Get Loom Transcript programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "startUrls": [{ "url": "https://www.loom.com/share/f2be9f6c21d34989baf22f5b8e3b4a76?sid=47785ff6-5839-4331-9dc7-c1fe8e375703D" }] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("webtotheflow/get-loom-transcript").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startGet Loom Transcript API in Python
The Apify API client for Python is the official library that allows you to use Get Loom Transcript API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Pricing
Pricing model
RentalTo use this Actor, you have to 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.
Free trial
1 day
Price
$9.00
