Tunefind Soundtracks Scraper

Tunefind Soundtracks Scraper

Scrape soundtracks from any Tunefind show or movie page, up to a million songs per run. Every record includes the song title, artist, scene description, and timestamp. No login or API key. Export to CSV, JSON, Excel, or XML.

Tunefind's official API requires registration and rate limits. This reads the public soundtrack pages directly, filtered by show or movie URL, and returns each song in one fixed schema. Perfect for music supervisors, playlist curators, and fans who want the full tracklist without manual copying.

Who uses it	What they scrape Tunefind for
Music supervisors	Find licensed songs for a film or TV project
Playlist curators	Build playlists from popular shows and movies
Content creators	Reference exact songs used in scenes for commentary
Data analysts	Track music trends across media

What it does

This Actor collects soundtrack records from a Tunefind show or movie page and returns each song as a flat row.

• 🎬 Show or movie URL: paste any Tunefind page and get its full soundtrack.
• 📊 Structured output: each song comes as a flat row with title, artist, scene, and timestamp.
• ⚙️ Flexible limits: set a maximum number of records, from 10 to 1,000,000.
• 📁 Multiple exports: download as CSV, JSON, Excel, or XML.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Tunefind data

🎵 Build a playlist from a show.

A playlist curator runs the Actor on a popular series URL and exports the song list to create a Spotify playlist.

📝 Research music licensing.

A music supervisor scrapes a movie page to identify all songs and their scenes for clearance.

📈 Analyze soundtrack trends.

A data analyst collects soundtracks from multiple shows to spot recurring artists or genres.

🎥 Create scene-by-scene music guides.

A content creator uses the scene descriptions and timestamps to annotate episodes for fans.

Why choose this scraper

	What you get
No API key	Scrape public pages without registration or OAuth
Complete data	Get song title, artist, scene description, and timestamp in one row
Scalable	From a quick preview to a million records per run
Export ready	CSV, JSON, Excel, or XML for any workflow

How it compares

No other Store actor targets Tunefind the same way, so the honest comparison is with the alternatives teams actually weigh.

	Tunefind Soundtracks Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When Tunefind changes	Maintained for you	You fix it	You re-learn the page
Proxies, retries, anti-bot	Built in	Your problem	Browser only
Output	Fixed JSON schema, CSV/Excel export	Whatever you build	Copy-paste
Cost	Pay per result	Engineering time	Analyst hours

Configure the run

Drive the Actor from a single Tunefind show or movie URL, and set a maximum number of soundtrack records to return. The Input tab lists every parameter.

A first run with the defaults:

{
 "startUrl": "https://www.tunefind.com/show/stranger-things",
 "maxItems": 10
}

A larger pull:

{
 "startUrl": "https://www.tunefind.com/show/stranger-things",
 "maxItems": 200
}

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Tunefind Soundtracks Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Tunefind through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/tunefind-soundtracks-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check that the URL is a valid Tunefind show or movie page and that it has a soundtrack. Also ensure the page is public and not geo-blocked.

The run stops after 10 records.

Free users are limited to 10 records as a preview. Upgrade to a paid plan to increase the maximum.

Some songs are missing from the output.

Tunefind may paginate or lazy-load content. The Actor scrapes the initial page; if songs are missing, try increasing the maximum or check the page structure.

The Actor fails with a timeout.

Tunefind may be slow or blocking. Retry the run, or reduce the maximum records to speed up the scrape.

FAQ

Question	Answer
Do I need a Tunefind account or API key?	No. The Actor reads public Tunefind pages directly, so no login or key is required.
What data does each soundtrack record include?	Each record includes the song title, artist, scene description, and timestamp as shown on Tunefind.
Can I scrape multiple shows in one run?	Currently, the Actor accepts one Tunefind URL per run. You can run it multiple times or use a scheduler for multiple URLs.
Is there a limit on how many songs I can scrape?	Free users are limited to 10 records as a preview. Paid users can set a maximum up to 1,000,000 records.
What formats can I export the data to?	You can export to CSV, JSON, Excel, or XML directly from the Apify platform.
Does the Actor handle movies as well as shows?	Yes, any Tunefind page for a show or movie works, as long as it has a soundtrack listing.
How often is the data updated?	The Actor scrapes live data from Tunefind at the time of the run, so it reflects the current page content.
Can I filter by song title or artist?	The Actor does not have built-in filters beyond the URL and maximum records. You can filter the exported data in your own tools.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Tunefind, LLC. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.