Podcast Transcript Scraper

io.github.fernandoguiraud16-coderv1.0.0Updated Oct 6, 2026

Transcribe any podcast by name or RSS feed to text and SRT, with speaker labels.

VerifiedStreamable HTTPWeb executableMedia & DesignWeb Search & Scraping

Overview

AI-generated overview

Transcribes podcasts by name or RSS feed into text and SRT subtitles with speaker labels, via a hosted Apify MCP endpoint.

What it does
This remote MCP server exposes an Apify actor that turns podcast episodes into transcripts. It accepts a podcast name or RSS feed and returns text and SRT subtitle output with speaker labels. It is part of a larger family of Apify data tools served through the same MCP endpoint, and the README notes it can transcribe only new episodes of a feed.
When to use it
Useful when an assistant needs searchable or quotable podcast content, such as summarizing episodes, building notes, or producing subtitles. It fits workflows that already use Apify actors or an MCP client like Claude or Cursor.
Requirements
A remote MCP endpoint at mcp.apify.com; no local package is declared. An Apify account and API token are needed, supplied as the APIFY_TOKEN environment variable in the documented examples. Network access is required, and usage is billed per result.
Before you install
The service is pay per result, so transcription consumes Apify credits and costs scale with audio minutes or items processed. The APIFY_TOKEN credential must be kept secret. Podcast audio and feed URLs are sent to Apify's cloud for processing, so consider whether that content is sensitive.

Installation

In SourceWeft

  1. Open Podcast Transcript Scraper in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "podcast-transcript-scraper": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=fguiraud/podcast-transcript-scraper"
    }
  }
}

README

Data Tools: clean web data for developers and AI agents

Ready-to-run Python examples for pay-per-use Apify Actors that turn search trends, news, competitor ads, documents, websites, YouTube, TikTok and Instagram videos and audio into clean JSON, Markdown, CSV and Excel.

🌐 Website: https://fernandoguiraud16-coder.github.io/data-tools/

Each example is a single short script plus a sample-output.json from a real cloud run, so you can see exactly what you get before running anything.

[Sample output of the TikTok Transcript Scraper: real results from a cloud run]

Examples

ExampleWhat it doesActor
google-trendsCompare terms over time, export to CSV, see rising searches and what's trending nowGoogle Trends Scraper
google-newsSave news articles as Markdown files, or get alerts for new stories onlyGoogle News Scraper
google-ads-transparencyEvery Google Search, Display and YouTube ad of a competitor, longest-running first, and alerts for new adsGoogle Ads Transparency Scraper
trends-to-newsFind the fastest rising searches on a topic and the news that explains themTrends + News
pdf-to-markdownPDF, Word, Excel, PowerPoint and scans to Markdown, or to RAG chunks in JSONLPDF to Markdown Extractor
pdf-table-extractorEvery table in a PDF to an Excel workbook, one sheet per tablePDF Table Extractor
tech-stack-whoisEnrich a list of company domains: CMS, email provider, hosting, age, security gradeTech Stack Detector & WHOIS
bulk-whoisFind available and soon-to-expire domains in a listBulk WHOIS Lookup
audio-transcriptionAudio or video to text and SRT subtitles, 99 languagesAudio & Video Transcription
podcast-transcriptsTranscribe only the new episodes of your favourite podcastsPodcast Transcript Scraper
youtube-transcriptsYouTube videos, Shorts, whole channels and playlists to Markdown with timestamps, SRT or textYouTube Transcript Scraper
mcp-agentsUse all of these as tools in Claude, Cursor or any MCP clientApify MCP server

Also in the family (same engine as Audio & Video Transcription, so the audio-transcription example works with them too):

ActorWhat it does
Instagram Reels Transcript ScraperInstagram Reels to text with author, date, likes and comments ($0.009 per Reel)
TikTok Transcript ScraperTikTok videos or whole accounts to text with views and likes ($0.009 per video)
Video to Text TranscriberTikTok, Instagram, X, Facebook and MP4 links to transcripts and readable subtitles, per minute
SRT Subtitle GeneratorBroadcast-formatted SRT/VTT subtitles (42 characters, 2 lines)

For AI agents

  • MCP: every tool is listed in the official MCP registry as io.github.fernandoguiraud16-coder/<tool> and served at https://mcp.apify.com/?tools=fguiraud/<tool>. See examples/mcp-agents.
  • Agent skills: npx skills add fernandoguiraud16-coder/data-tools installs 4 skills for Claude Code, Codex, Cursor and other coding agents.
  • llms.txt: a short index of all tools for LLMs.

Quick start

  1. Create a free Apify account and copy your API token from Console → Settings → API & Integrations.

  2. Install the client and set the token:

    bash
    pip install -r requirements.txtexport APIFY_TOKEN=your_token          # Windows PowerShell: $env:APIFY_TOKEN="your_token"

  3. Run any example:

    bash
    python examples/google-trends/compare_terms.py "chatgpt, gemini, claude" --geo US

Pricing

All Actors are pay per result: you pay a fraction of a cent per item (term, article, ad, document, domain, video or audio minute), and failed or empty items are not charged. Apify's free plan includes monthly credits, enough to try every example. Exact prices are on each Actor's page.

Support

Found a bug or need a feature? Open an issue on the Actor's page in the Apify Store (replies within 48 hours), or an issue in this repository for problems with the examples.

License

The example code is MIT licensed: copy it into your own projects.

Source: README.md at commit 2c4f1e0

Tools

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Version history

1
  1. v1.0.0LatestOct 6, 2026