Pricing

from $2.00 / 1,000 results

Podcast Transcript Scraper — Text, SRT & JSON

Discover podcasts through iTunes or provide an RSS/Apple Podcasts URL, then extract episode metadata and Podcasting 2.0 transcript files. Export transcript text, SRT, or JSON when feeds publish transcript links.

Pricing

from $2.00 / 1,000 results

Rating

0.0

(0)

Developer

North Glass Labs

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Categories

Social media

You can access the Podcast Transcript Scraper — Text, SRT & JSON 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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 = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("northglasslabs/podcast-transcript-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Podcast Transcript Scraper — Text, SRT & JSON API in Python

The Apify API client for Python is the official library that allows you to use Podcast Transcript Scraper — Text, SRT & JSON API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Podcast Transcript Scraper — Text, SRT & JSON API in JavaScript

Podcast Transcript Scraper — Text, SRT & JSON API through CLI

Podcast Transcript Scraper — Text, SRT & JSON OpenAPI definition

Podcast Transcript Scraper — Text, SRT & JSON API

Podcast Transcript Scraper

masked_hacker/podcast-transcript-scraper

Scrape podcast episodes and their full transcripts (segmented, with timestamps) from the show's RSS feed. Resolves a show name, Apple Podcasts URL, or RSS URL to the feed, then extracts each episode's metadata, audio URL and Podcasting 2.0 transcript.

Masked Hacker

Podcast Transcript Scraper — Any RSS Feed to Text & SRT

scrapersdelight/podcast-transcript-scraper

Extract per-episode transcripts from any podcast RSS feed via the Podcasting 2.0 <podcast:transcript> tag — no login, no ASR. Clean text, timestamped segments & SRT/VTT per episode, plus metadata. Works with Buzzsprout, Captivate, Transistor, RSS.com & more. $2 per 1,000 episodes.

Scrapers Delight

YouTube Transcript Scraper

thescrappa/youtube-transcript-scraper

Extract YouTube transcript segments and full transcript text by video ID.

Scrappa

Youtube Transcript Scraper

scrapebase/youtube-transcript-scraper

ScrapeBase

Youtube Transcript - 1$/month

insight_api_labs/youtube-transcript

Youtube Transcript (with video details and transcript timestamps)

InsightAPILabs

940

3.1

Podcast Search — Podcasts & RSS Feeds (iTunes API)

omao/podcast

Search podcasts or look them up by ID and get clean JSON: title, author, RSS feed URL, episode count, genres, artwork and Apple Podcasts URL. Powered by Apple's public iTunes API. No anti-bot.

Marouane Oulabass

iTunes Podcast Discovery — Find Podcasts by Topic

northglasslabs/itunes-podcast-discovery

Discover podcasts by keyword with the iTunes Search API. Returns podcast names, publishers, RSS feed URLs, episode counts, genres, artwork, and Apple Podcasts links without requiring authentication.

North Glass Labs

Podcast Episode Scraper (RSS & Apple)

seemuapps/podcast-rss-scraper

Extract every episode from any podcast RSS feed or Apple Podcasts show title, publish date, duration, audio URL, transcript link, season/episode numbers, and cover art, one row per episode.