Bandcamp Scraper: Albums, Discovery, Collections & Wishlists
Pricing
from $1.00 / 1,000 results
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Bandcamp Scraper: Albums, Discovery, Collections & Wishlists
Discover Bandcamp albums by genre or tag, extract album and track metadata, and export public fan collections or wishlists. Collect artist names, release dates, prices, artwork and available reviews for music catalog and audience research.
Pricing
from $1.00 / 1,000 results
Rating
0.0
(0)
Developer
ScrapingMonkey
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
a day ago
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Bandcamp Scraper brings independent music discovery and fan collection research into one workflow. Explore releases by genre or tag, inspect album and track metadata, and export public collections or wishlists with artists, artwork, prices and dates for label scouting, music curation and catalog research.
Discover releases in a music niche, compare artists and album information, and examine public fan collections to build better playlists, scouting lists and independent music catalogs.
| At a glance | Details |
|---|---|
| 📥 Input | Search fields or links to the selected items; see the examples below |
| 📤 Output | One row per album, collection item or wishlist item, depending on the mode |
| 📄 Pagination | Automatic up to maxResults for each input, when more results are available |
| 🔐 Login required | No |
| ⚡ Processing | Multiple inputs per run with automatic retries for temporary errors |
| 💾 Delivery | One complete Apify dataset table; CSV, JSON and Excel export |
What the Bandcamp scraper collects 🎵
Discover Bandcamp albums by genre or tag, extract album and track metadata, and export public fan collections or wishlists. Collect artist names, release dates, prices, artwork and available reviews for music catalog and audience research.
| Collection | What you receive |
|---|---|
| Bandcamp album discovery by genre scraper | Discover Bandcamp albums by genre or tag and export artists, release dates, prices, track counts and artwork. |
| Bandcamp album metadata scraper | Extract Bandcamp album details and public track metadata, including artist, description, release date, prices and duration. |
| Bandcamp fan collections scraper | Export a public Bandcamp fan collection with albums, tracks, artists, artwork, added dates and public reviews. |
| Bandcamp fan wishlists scraper | Export a public Bandcamp wishlist with albums, tracks, artists, prices, artwork and added dates. |
Data can include:
- Releases: Album and track titles, artists and original release links.
- Album information: Descriptions, release dates and track counts.
- Track metadata: Track names and available durations.
- Pricing: Available album or track prices and currencies.
- Artwork: Release cover images and artwork links.
- Fan collections: Collection or wishlist items, added dates and visible reviews.
How to scrape Bandcamp 🚀
- Choose Discover Music in What to collect, or select another collection mode.
- Fill in the search fields, or paste links to the items you want to collect.
- Set the maximum results and any optional filters.
- Start the Actor and review the collected rows.
- Export the dataset or connect it to your application.
Bandcamp album discovery by genre scraper — input example
maxResults: 10 means up to 10 results for each input. It does not guarantee that the website has that many matches. You can set the limit as low as 1.
Bandcamp album metadata scraper — input example
Bandcamp fan collections scraper — input example
Bandcamp fan wishlists scraper — input example
Bandcamp data fields and complete output 📦
| Field group | Included data |
|---|---|
| Releases | Album and track titles, artists and original release links. |
| Album information | Descriptions, release dates and track counts. |
| Track metadata | Track names and available durations. |
| Pricing | Available album or track prices and currencies. |
| Artwork | Release cover images and artwork links. |
| Fan collections | Collection or wishlist items, added dates and visible reviews. |
Each collected item is a separate row. input identifies the submitted value and result_type identifies the selected mode. All returned fields appear in one table; columns that do not apply to a mode can be empty.
A complete JSON result is shown for every collection mode below, in the same order as the input examples. Each example includes every field for its mode; text and lists are not shortened. Values are representative and can change.
Bandcamp album discovery by genre scraper — complete JSON result
Bandcamp album metadata scraper — complete JSON result
Bandcamp fan collections scraper — complete JSON result
Bandcamp fan wishlists scraper — complete JSON result
Images, tags and other lists stay with their parent result instead of creating extra rows. Invalid or unavailable inputs, inputs with no results, and requests that fail after all retries produce a row with status: failed. At most one failed row is saved per input; it includes error_code and error_message explaining the outcome. A normal end of pagination after collected results does not add a failed row.
Input requirements and collection settings ⚙️
| Setting | What to enter |
|---|---|
What to collect (mode) | Choose the information to collect. |
Maximum results per search or link (maxResults) | Collect up to this many results for each search or link. Minimum: 1. |
Genres or tags (genres) | Enter one genre or tag per line, for example jazz or electronic. For Discover Music. |
Album links (albumUrls) | Paste one link per line. Example: https://weedian420.bandcamp.com/album/trip-to-england-150-bands For Album. |
Profile links (profileUrls) | Paste one link per line. Example: https://bandcamp.com/black_origami For User Collection, User Wishlist. |
| Collection mode | Fields to use |
|---|---|
| Album | Album links |
| Discover Music | Genres or tags |
| User Collection | Profile links |
| User Wishlist | Profile links |
The result limit applies separately to each search or supplied link. Collection ends earlier when no more matching results are available.
Bandcamp scraping use cases 🎯
Label scouting
Discover independent releases by genre and build an artist research shortlist.
Music curation
Collect album descriptions and track information for editorial selection.
Catalog enrichment
Add artwork, release dates and pricing to an independent music catalog.
Fan taste research
Examine public collections to understand how listeners group artists and releases.
Release pricing research
Compare listed prices across a selected genre or collection.
Pricing and saved-result behavior 💰
See the Actor's Pricing tab for the active pricing model and current rate. Store settings may change, so this README does not claim a fixed cost.
Under dataset-item pricing:
- Each collected item saved in the dataset is one result.
- Images, tags and other values attached to that item do not create additional rows.
- Automatic retry attempts do not create extra dataset rows.
- A saved
failedrow is also one billable dataset item, including invalid inputs, unavailable items, no results, or exhausted retries. At most one failed row is saved per input, including when some results were already collected. maxResultscaps all saved rows for each input, including its failed row. Repeated copies of the same input are processed once. More inputs or a higher limit can produce more saved results.
Bandcamp scraper API and integrations 🔌
Replace $ACTOR_ID with the ID shown in the Actor API tab and $APIFY_TOKEN with your token.
Use schedules for recurring collection, webhooks for completion notifications, and Apify integrations for Google Sheets, Make, Zapier, cloud storage, a CRM or your own application.
Reliability, retries, and public-data limits ⚠️
Temporary connection errors, timeouts and access restrictions are retried automatically, up to five attempts. Invalid inputs save a failed row without an HTTP request; confirmed unavailable items save a failed row without unnecessary retries. Exhausted retries also save a failed row. Results already collected remain available if a later request fails, and normal pagination completion adds no error row. Collection also stops after two consecutive fully processed pages add no new results, even if the website provides another cursor. Required detail lookups are completed before checking a page; new results reset the counter, and independent reply branches are checked separately. Failures while initializing the Actor, saving data or scheduling requests stop the run instead of being reported as a failed website result.
The actor collects release metadata and media references; it does not purchase or download albums.
Bandcamp controls which information is publicly available. Removed, private or restricted items may be unavailable, and optional values can be null or empty. A run can still fail if the results cannot be saved.
Frequently asked questions ❓
Does it require an account on Bandcamp?
No. You do not need to provide an account, password or login cookies. Only publicly available information is collected.
How does maxResults work?
It limits the number of saved results separately for every input. The minimum is 1. With maxResults set to 10, each input returns at most 10 available results. A detail lookup normally returns one record per input.
Can I export a fan’s collection and wishlist?
Yes. Collection and Wishlist are separate modes for supported public fan pages.
Does album mode include the track list?
Yes. Album results include available public track metadata such as track names and duration.
Why are some fields empty?
The website may not publish that value, or the field may belong to a different collection mode. Missing values remain null or empty instead of being guessed.
Can I export the results to a spreadsheet?
Yes. Download CSV, Excel or JSON from the Apify dataset. All returned fields are included in the same results table.
Support and responsible use 🛟
For a reproducible issue, share the run ID, selected mode, result limit and a safe public example through the support channel. Never disclose access tokens, passwords or proxy credentials.
Use public Bandcamp information lawfully and responsibly. Follow applicable privacy, copyright, data-protection, contractual and platform requirements when storing, analyzing or redistributing results.
