Spotify prints an exact play count on every track page and an exact monthly listeners figure on every artist page. Our Spotify scraper records both, run after run.
Plans from €169/month · Free project assessment · Reply within 1 business day
You name the slice of the catalogue: a list of artists, a label's releases, the editorial playlists of a genre, the chart playlists of chosen countries, a set of podcasts. We scrape Spotify through its web player, open.spotify.com. The crawler is ours to build, operate and fix whenever the player is redesigned, and it runs one-off or on a schedule - daily, weekly or on demand.
The player is drawn by scripts and serves a different catalogue per market, so rendering, pacing and country-by-country proxy rotation come with the service. We read catalogue metadata as a visitor without an account sees it: no listening history, no private libraries, no lyrics or full audio. Playlists are taken from Spotify's own editors and from curators such as labels and brands; playlists of private listeners are left out.
Each object in the player has a 22-character id in its address - /artist/, /album/, /track/, /playlist/, /show/ or /episode/ followed by the id - and that id is the key of a row. What the pages give a visitor:
Tracks credited to several artists are returned with every artist id, so collaborations can be counted from either side, and cover art comes as image addresses. Release dates are kept as full dates where the page states them and as years where it does not. Nothing in these rows describes a listener.
Playlists are where the catalogue turns into rankings.
Chart positions are read from these chart playlists, which open without an account like the rest of the player.
Spotify launched in 2008 as a music streaming service and later added podcasts and audiobooks. The company behind it is Spotify AB, and it reports being available in 184 markets. The part a data buyer can read is the web player, which shows catalogue pages to visitors who are not signed in.
The catalogue we read is a graph of six object types - artist, album, track, playlist, show and episode - linked to one another and each addressed by its own id. Browse pages sit on top of the graph: genre hubs, the Charts hub and the shelves of an artist page.
Three things shape a crawl. Availability is decided per market: where a release or a show is not offered, Spotify answers with a page saying it is not available in your region, so the country a run is read from belongs in the data. The interface language follows the visitor, while names, ids and counters do not. And the counters differ in kind: a play count only grows, while monthly listeners is a moving figure that rises and falls.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Labels and artists see their own numbers; nobody is handed everyone else's in one table. Building that table - in effect an artist database with a date on each row - is the reason to ask whether you can scrape Spotify at all.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt builds and runs web crawlers as a service: you describe the dataset, we deliver it. For streaming catalogues that means long id lists revisited on a fixed clock, because a counter that was not read on the day leaves a hole in the series that nothing fills afterwards.
Before work starts we assess the project free of charge, and a sample can be ordered to check the columns. We never log in and never collect listener data. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Yes. The ScrapeIt Spotify API returns artist id, monthly listeners, followers, track id, play count, duration and release date as JSON from an endpoint we host, with access by key, updated as often as you choose. Files in CSV, XLSX or JSONLines and drops to Amazon S3, SFTP or your own database carry the same columns.
Yes. Artist, album, track, playlist and podcast pages of the web player can be opened by anyone, signed in or not. We collect only publicly available data - everything a visitor can see on Spotify - and we collect it legally. Listener accounts, private playlists and whatever sits behind sign-in are never touched.
The chart playlists of the Charts hub: Top 50 daily charts and Top Songs weekly charts, global and per country, with position, track, artists and - on Top 50 - the plays figure. Podcast Charts add the Top Podcasts ranking per country. Stored run after run, they become a chart history with entry dates, peaks and days on chart.
Yes. A show page gives title, publisher, description, categories, the star rating with its number of ratings and the list of episodes; every episode has its own page with title, date, duration and description. Podcasts are available per market, so we read each show from a country where it opens.
Daily, if you want growth rates. Spotify displays current totals only, so yesterday's value exists only if it was captured yesterday. Weekly runs are enough for discography and playlist membership, which change slowly, while Top 50 needs a daily pass because the chart is replaced every day.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Spotify data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
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