Spotify Play Count Scraper: Tracks, Albums, Artists, Playlists

Spotify Play Count Scraper: exact play counts and daily streams for any track, album, artist or playlist

Spotify Play Count Scraper gets the exact play count Spotify shows next to every song, for any artist, not just your own. Schedule it and it becomes a daily stream tracker: every run adds the streams each track gained since the last run. Paste track, album, artist or playlist links and get one spreadsheet row per track with its play count, album, release date, label and artists. Artist links add monthly listeners, followers, world rank and top cities.

• Daily streams, built in. Turn on Compare with previous run and schedule it. Every row then has playCountChange, the streams since the last run, so you don't have to merge exports in a spreadsheet. Artists get the change in monthly listeners.
• Any artist, any catalog. Spotify for Artists only shows your own music. This works for any track, so you can follow competitors, prospects, playlists and a whole label's roster the same way.
• Whole discographies in one link. One artist link can return every track of every album, single, EP and compilation, with the play count, release date and label on each row.
• Exact numbers, not estimates. The play count is the number Spotify shows in its app. The official Spotify Web API doesn't have it; it only offers a 0–100 "popularity" score.
• $2 per 1,000 links, no start fee. An album counts as one link, whatever the number of tracks. A daily check of 10 albums costs $0.60 a month. No Spotify account, API key or proxy setup.

Who uses it, and how

You are	What you schedule	What you read
Artist manager or marketer	Your new release, daily	playCountChange per track, before and after ads, press or a playlist add
Label or distributor	Your roster's artist links with their discographies, weekly	Streams per release, per artist and per label for catalog reports
A&R scout	Hundreds of emerging artists, daily	monthlyListenersChange, top cities and top-track growth to spot who is breaking out
Catalog investor or royalty analyst	Full discographies before a deal, then monthly	Total plays, plays per year since releaseDate, and the monthly growth or decay
Playlist curator or promoter	The playlists you run or pitch to, daily	Which tracks gain the most streams, and how newly added tracks perform
Prediction market trader	The artists in a monthly-listeners market, every few hours	monthlyListeners, monthlyListenersChange and the gap to the leader
Music journalist or researcher	The artists or charts you cover	Exact numbers with an observedAt timestamp for every data point

How it compares

What you need	Spotify Play Count Scraper	Most Spotify play count scrapers on Apify	Spotify for Artists	Spotify Web API (official)
Exact play counts	Yes	Yes	Yes	No, only a 0–100 popularity
Any artist	Yes	Yes	Only your own	Yes
Streams since the last run	Built in (playCountChange)	No, compare exports yourself	Yes, for your own music	No
One row per track	Yes, with release date and label	Often one nested record per link	Dashboard	One object per track
Playlists	Any size, with position and date added	Often not supported	Only playlists with your music	Without play counts
Whole artist discography	Albums, singles, EPs, compilations	Some	Your own	Without play counts
Price	$2 per 1,000 links	Mostly $3 to $4 per 1,000 links	Free, your own music only	Free, with app registration

Quick start

1. Click Try for free and sign in to Apify. The free plan's monthly credit covers about 2,500 links.
2. Paste Spotify links into Spotify links, one per line. In the Spotify app, use Share → Copy link.
3. Turn on Compare with previous run if you'll run it again.
4. Click Start. When the run finishes, open the Output tab and export the Play counts view to CSV, Excel or JSON.

{
    "urls": [
        "https://open.spotify.com/album/1XkGORuUX2QGOEIL4EbJKm",
        "https://open.spotify.com/track/2x8evxqUlF0eRabbW2JBJd"
    ],
    "compareWithPreviousRun": true
}

Then save it as a task and schedule it, as described below.

Track daily streams with scheduled runs

A play count on its own is a snapshot. The same links run every day give you streams per day for each track, for any artist.

1. Save your input as a task

Open the actor, add your links, turn on Compare with previous run, then click Save as a new task. A task is a saved input you can run again with one click or on a schedule. Make one task per purpose, for example one for your releases and one for the artists you scout.

2. Schedule the task

In Apify Console, go to Schedules, click Create new, choose how often to run (for example daily at 07:00 in your time zone), and add your task. See Schedules and How to create a schedule.

Watch how to schedule an Actor:

Or schedule a saved task:

Common schedules:

Use case	Frequency	Cron expression
Release launch, campaigns, playlist adds	Daily	0 7 * * *
A&R watchlist	Daily	0 7 * * *
Label and catalog reports	Weekly (Monday)	0 7 * * 1
Catalog valuation and royalty tracking	Monthly	0 7 1 * *

Spotify doesn't update public play counts live, so daily runs are enough for play counts. For monthly-listener races, run more often near the deadline (see For Polymarket traders).

3. Send the numbers to a spreadsheet

Connect Google in the task's Integrations tab to add every run's rows to Google Sheets automatically. Each day's rows land below the previous day's, which gives you a stream history to chart.

The Integrations tab also connects Slack, email, Make, Zapier, n8n and webhooks, for example to post the day's top gainers to a Slack channel.

4. Read the changes

Open the Changes since last run view in the Output tab, or use these fields:

• playCountChange: streams since previousObservedAt. With a daily schedule, these are the track's daily streams.
• previousPlayCount and previousObservedAt: the value and time of the last run that saw the track.
• monthlyListenersChange and previousFollowers on artist rows.

How the comparison works:

• The actor remembers the last play count of each track and the audience of each artist in your Apify account.
• A track is compared with the last run that saw it, from any of your tasks. If two tasks include the same track, the change is since whichever ran last.
• The first run of a track has empty previous… fields. Changes start from the second run.
• Runs aren't always exactly 24 hours apart. For an exact daily rate, divide playCountChange by the hours between previousObservedAt and observedAt, then multiply by 24.

For Polymarket and prediction market traders

Polymarket and other prediction markets list Spotify markets such as "Which artist will have the most monthly Spotify listeners this month?". These markets resolve on the monthly listener count shown on each artist's public Spotify profile at a fixed time, usually on the last day of the month. That is the number this actor returns as monthlyListeners.

Put the artists of a market in one task and schedule it:

{
    "urls": [
        "https://open.spotify.com/artist/06HL4z0CvFAxyc27GXpf02",
        "https://open.spotify.com/artist/3TVXtAsR1Inumwj472S9r4",
        "https://open.spotify.com/artist/1Xyo4u8uXC1ZmMpatF05PJ"
    ],
    "compareWithPreviousRun": true
}

• Follow the race. Each run returns every artist's monthlyListeners and monthlyListenersChange since the previous run. Chart the gap between the leader and the challengers, and see who is gaining.
• Understand the momentum. topCities shows where an artist's listeners come from, and the 10 top tracks with playCountChange show which songs drive the growth, for example a new single or a viral track.
• Run it often near the deadline. A run of 10 artists costs $0.02. Every 3 hours (0 */3 * * *) for a month is about $4.80; switch to hourly (0 * * * *) in the last days.
• Get alerts. Connect Slack, email or a webhook in the task's Integrations tab and send yourself the numbers after every run.
• Check the market's own rules. Each market sets its own time, time zone, tie-break and which profiles count (usually primary artist profiles only). The actor reports what Spotify shows at the time of the run, with observedAt in UTC.

Ready-to-run examples

Daily streams of a new release

{
    "urls": ["https://open.spotify.com/album/1XkGORuUX2QGOEIL4EbJKm"],
    "compareWithPreviousRun": true
}

Schedule it daily from release day. Compare playCountChange before and after an ad campaign, a press feature or a playlist add to see what it did.

Weekly catalog report for a roster

{
    "urls": [
        "https://open.spotify.com/artist/7Ln80lUS6He07XvHI8qqHH",
        "https://open.spotify.com/artist/06HL4z0CvFAxyc27GXpf02"
    ],
    "artistReleases": ["albums", "singles", "compilations"],
    "compareWithPreviousRun": true
}

Every track of every release, each week, with the streams it gained since last week. Pivot by label, albumName or artistName.

A&R watchlist: who is breaking out

{
    "urls": [
        "https://open.spotify.com/artist/7Ln80lUS6He07XvHI8qqHH",
        "https://open.spotify.com/artist/3TVXtAsR1Inumwj472S9r4"
    ],
    "compareWithPreviousRun": true
}

Add hundreds of artist links. Each one returns the profile and the 10 top tracks as a single link. Sort the Artists view by monthlyListenersChange, and check topCities to see where the growth comes from.

Playlist monitoring

{
    "urls": ["https://open.spotify.com/playlist/6UeSakyzhiEt4NB3UAd6NQ"],
    "compareWithPreviousRun": true
}

Every track's play count with its playlistPosition and addedToPlaylistAt. Run daily to see which tracks gain the most streams and how new additions perform.

Catalog valuation

{
    "urls": ["https://open.spotify.com/artist/7Ln80lUS6He07XvHI8qqHH"],
    "artistReleases": ["albums", "singles", "compilations"]
}

A one-off export of a whole catalog with release dates and labels. Schedule it monthly afterwards to measure how fast the catalog grows or decays.

What data can you extract?

Every track is one row:

Group	Fields
Plays	playCount, observedAt, and with Compare with previous run playCountChange, previousPlayCount, previousObservedAt
Track	trackName, trackId, trackUrl, trackNumber, discNumber, durationMs, explicit, playable
Artists	artistName (all credited artists), artists (ID, name and link of each)
Release	albumName, albumId, albumUrl, albumType (album, single, EP, compilation), releaseDate, label, coverUrl
Playlist	playlistName, playlistId, playlistPosition, addedToPlaylistAt
Source	input (your link), source (track, album, playlist, artist-top-tracks, artist-discography), artistTopTrackRank

Artist links also add one artist row (type: "artist"):

Group	Fields
Audience	monthlyListeners, followers, worldRank, topCities (city, region, country, listeners)
Changes	monthlyListenersChange, previousMonthlyListeners, previousFollowers, previousObservedAt
Profile	artistName, artistId, artistUrl, verified, albumCount, singleCount, compilationCount, biography, externalLinks, imageUrl

Input reference

Field	Type	Default	Effect
urls	Array of strings	Required	Track, album, artist or playlist URLs (any language version of open.spotify.com), spotify: URIs or bare IDs, one per line.
compareWithPreviousRun	Boolean	false	Add the previous play count and the change since the last run. Turn it on for scheduled runs.
artistReleases	Array of strings	[]	For artist links: albums, singles (incl. EPs), compilations, popular. Empty = the artist's profile and its 10 top tracks only.
maxTracksPerUrl	Integer	0	Stop after this many tracks per playlist, album or artist. 0 = all.

Moving from another Spotify play count actor? Inputs in the { "url": "…" } format and the followAlbums, followSingles and followPopularReleases options work too, so your integration keeps working.

Analyze the results with ChatGPT or Claude

Export the Play counts or Changes since last run view as CSV and attach it to a chat with ChatGPT, Claude or another AI assistant. Some prompts to start with:

Daily report. "This is today's Spotify data for my roster (playCountChange = streams since yesterday). Write a short report: total streams per artistName, the 5 tracks that gained the most, and any track whose daily streams are high compared with its total playCount."

Find breakouts. "These are artist rows from a daily A&R run. Rank the artists by monthlyListenersChange relative to monthlyListeners, and list their top cities. Which ones grow fastest from a small base?"

Value a catalog. "This is an artist's full catalog. For each release (albumName), show total playCount and plays per year since releaseDate. Assuming $0.003 per stream, estimate yearly earnings per release and for the catalog."

The dataset is also available through the Apify API and integrations such as Make, Zapier and n8n, so you can feed it into a dashboard or a database.

Output

Results go to the run's default dataset. Use the views Play counts, Changes since last run, Playlist tracks or Artists, or export everything as JSON, CSV, Excel, XML or HTML.

A track row from a scheduled run. The play count is real (October 8, 2026); the previous… values show what a run on the next day adds:

{
    "type": "track",
    "trackId": "2x8evxqUlF0eRabbW2JBJd",
    "trackName": "Fluorescent Adolescent",
    "playCount": 1239776084,
    "trackUrl": "https://open.spotify.com/track/2x8evxqUlF0eRabbW2JBJd",
    "artistName": "Arctic Monkeys",
    "artists": [
        {
            "id": "7Ln80lUS6He07XvHI8qqHH",
            "name": "Arctic Monkeys",
            "url": "https://open.spotify.com/artist/7Ln80lUS6He07XvHI8qqHH"
        }
    ],
    "albumName": "Favourite Worst Nightmare",
    "albumId": "1XkGORuUX2QGOEIL4EbJKm",
    "albumType": "album",
    "albumUrl": "https://open.spotify.com/album/1XkGORuUX2QGOEIL4EbJKm",
    "releaseDate": "2007-04-22",
    "label": "Domino Recording Co",
    "trackNumber": 5,
    "discNumber": null,
    "durationMs": 183893,
    "explicit": false,
    "playable": true,
    "coverUrl": "https://i.scdn.co/image/ab67616d0000b273b1f8da74f225fa1225cdface",
    "playlistId": null,
    "playlistName": null,
    "playlistPosition": null,
    "addedToPlaylistAt": null,
    "artistTopTrackRank": null,
    "previousPlayCount": 1239512330,
    "playCountChange": 263754,
    "previousObservedAt": "2026-10-07T07:00:12.420Z",
    "source": "track",
    "input": "https://open.spotify.com/track/2x8evxqUlF0eRabbW2JBJd",
    "observedAt": "2026-10-08T07:00:11.902Z"
}

A real artist row (October 8, 2026, first run, with the biography and lists shortened):

{
    "type": "artist",
    "artistId": "7Ln80lUS6He07XvHI8qqHH",
    "artistName": "Arctic Monkeys",
    "artistUrl": "https://open.spotify.com/artist/7Ln80lUS6He07XvHI8qqHH",
    "verified": true,
    "monthlyListeners": 56300019,
    "followers": 35845435,
    "worldRank": 44,
    "topCities": [
        { "city": "London", "region": "ENG", "country": "GB", "listeners": 1032786 },
        { "city": "Mexico City", "region": "CMX", "country": "MX", "listeners": 811466 }
    ],
    "albumCount": 8,
    "singleCount": 31,
    "compilationCount": 0,
    "imageUrl": "https://i.scdn.co/image/ab6761610000e5eb7da39dea0a72f581535fb11f",
    "biography": "With their nervy and literate indie rock sound, Arctic Monkeys are …",
    "externalLinks": [{ "name": "INSTAGRAM", "url": "https://instagram.com/arcticmonkeys" }],
    "previousMonthlyListeners": null,
    "monthlyListenersChange": null,
    "previousFollowers": null,
    "previousObservedAt": null,
    "input": "https://open.spotify.com/artist/7Ln80lUS6He07XvHI8qqHH",
    "observedAt": "2026-10-08T12:57:59.759Z"
}

The run's key-value store also has an OUTPUT record with the status and number of tracks of each link.

Notes on fields

• playCount is the all-time number of plays Spotify shows for the track.
• releaseDate has the precision Spotify gives: 2007-04-22, 2007-04 or 2007.
• worldRank is set only for artists in Spotify's global ranking.
• Artist links without release types return the artist's 10 top tracks, with artistTopTrackRank. Discography rows also have it when the track is one of the top tracks.
• discNumber is empty for single track links; album, playlist and discography rows have it.
• Missing values are null. Every row has observedAt in UTC.

FAQ

Does the official Spotify API give play counts?

No. The Spotify Web API only has a "popularity" score from 0 to 100. It's relative and can't be turned into a play count. This actor returns the exact count Spotify shows in its app.

How is this different from Spotify for Artists?

Spotify for Artists shows detailed stats, but only for your own music. This actor gives the public play counts and audience numbers of any artist, so you can track competitors, prospects, playlists and whole catalogs, and get the data as a spreadsheet or through an API.

How do I get daily streams?

Turn on Compare with previous run, save the input as a task and schedule it daily. From the second run on, playCountChange is the number of streams since the previous run. See Track daily streams with scheduled runs.

How accurate are the play counts?

They are the numbers Spotify shows in its app at the time of the run, not estimates. Every row has an observedAt timestamp.

How fast is it?

An album or a track takes about a second. In our tests, the full discographies of Drake and Taylor Swift (326 releases, 2,318 tracks) took about 80 seconds.

What links can I use?

Track, album, artist and playlist links from open.spotify.com (any language version), spotify: URIs and bare 22-character IDs. Podcasts and episodes have no play counts and are skipped.

Why is a link missing from the results?

The track, album or playlist was deleted, is unavailable, or the ID is wrong. The log says which link it was, the OUTPUT record shows its status, and you aren't charged for it.

Why did my run stop early?

If the log says the charge limit was reached, the run hit its maximum cost or your account's spending limit. Everything collected before that is saved. Raise the limit in the run options to collect more.

Do I need a Spotify account, API key or proxies?

No. The actor handles connections and retries itself and doesn't log in.

Is it legal to scrape Spotify play counts?

The actor collects publicly visible catalog data: play counts, track and album details and artist statistics. It doesn't collect personal data of listeners. You are responsible for how you use the data, including Spotify's terms.

Cost

This actor uses pay-per-event pricing, with no subscription and no start fee:

$2 per 1,000 Spotify links ($0.002 per link). Each track, album, artist or playlist link counts once, whatever the number of tracks.

• Artist discographies: the artist counts as one link, and each album, single or EP it collects counts as one link.
• Playlists: every 100 tracks count as one link.
• Links that aren't found are free. Platform usage is included.

Example runs:

Run	Links per run	Cost
A 12-track album	1	$0.002
1,000 track links	1,000	$2.00
Taylor Swift's full discography (154 releases)	155	$0.31
A new album, daily for 30 days	1	$0.06 a month
10 albums, daily for 30 days	10	$0.60 a month
A 100-track playlist, daily for 30 days	1	$0.06 a month
A&R watchlist of 200 artists, daily for 30 days	200	$12 a month
Roster of 20 artists with 30 releases each, weekly	620	$5.40 a month
10 artists in a listeners market, every 3 hours	10	$4.80 a month

Set a maximum cost per run; the actor stops cleanly when it's reached. The Pricing tab always shows the current prices.

Support

Report problems or request features in the Issues tab. Include the run ID, the input and what you expected. We read every issue.

This actor is not affiliated with or endorsed by Spotify AB or Polymarket. "Spotify" is a trademark of Spotify AB. Nothing here is financial advice.