Infrastructure
Proxy routing, browser execution, retries, and usage controls are operational work.
Normalized JSONAPI-key usage trackingCredit-based pricingPlatform-specific APIsMCP-ready audio tools
Podcast and Audio Intelligence API
Research podcasts, shows, episodes, charts, playlists, tracks, artists, and public audio catalog signals without maintaining separate Spotify or Apple Podcasts scrapers.
The problem
Podcast and audio research is fragmented across charts, shows, episodes, and catalog pages
Media teams, podcast networks, AI research products, creator tools, and market intelligence teams need repeatable podcast and audio data. Building this in-house means maintaining multiple scrapers, normalizing show and episode records, tracking charts, and wrapping the data for agents or dashboards.
Normalization
Raw pages must become stable records before products and data teams can use them.
Product fit
Use-case landing pages should map directly to buyer workflows and internal data models.
Responsible use
Structured public web data workflows still need clear legal, privacy, and platform boundaries.
What you can collect
Structured data categories
Example fields may include podcast, episode, chart, show, playlist, artist, album, track, and profile data where supported.
podcast show titles
episode titles and descriptions
chart rankings
show metadata
episode metadata
Spotify tracks and albums
artists and playlists
genre and section pages
public profile data
recommendations where supported
MCP tool names where documented
request IDs and usage context
Relevant Crawlora APIs
Platform-specific endpoints for this workflow
Start from the platform page or endpoint docs, then test the same route in Playground before production integration.
Spotify API
Music catalog, artist, playlist, track, profile, chart, audiobook, and search workflows.
OpenSpotify Podcasts API
Podcast home, charts, categories, shows, episodes, recommendations, and search workflows.
OpenApple Podcasts API
Apple Podcasts chart, show, episode, and search workflows.
OpenSpotify podcast search
Search Spotify Podcasts for shows and podcast discovery.
OpenApple Podcasts search
Search Apple Podcasts shows from the generated API docs.
OpenSpotify catalog search
Search Spotify catalog surfaces where supported.
OpenExample workflow
From target definition to product output
Crawlora keeps the scraping execution layer behind documented APIs so your product can focus on storage, analysis, alerts, and user workflows.
01
Define audio sources
Choose whether the workflow needs Spotify catalog data, Spotify podcast data, Apple Podcasts data, or a combination.
02
Collect structured records
Call documented Crawlora endpoints for shows, episodes, charts, search, playlists, tracks, artists, or recommendations.
03
Normalize across surfaces
Store source, title, URL, ranking, show, episode, creator, and catalog fields in one product model.
04
Power workflows
Use the records in dashboards, discovery products, trend reports, podcast research agents, or enrichment pipelines.
API example
Illustrative podcast search request
Illustrative example using the documented Spotify Podcasts search route. Check Docs for current parameters, MCP tool metadata, and response fields.
Request
Illustrative exampleGET https://api.crawlora.net/api/v1/spotify-podcasts/search?q=ai%20founders
x-api-key: YOUR_API_KEYIllustrative response
Illustrative example{
"code": 200,
"msg": "OK",
"data": [
{
"name": "Example podcast",
"publisher": "Example network",
"url": "https://open.spotify.com/show/example"
}
]
}What you can build
Products, dashboards, and workflows this data can power
These are practical workflow patterns for SaaS products, data teams, AI agents, agencies, growth teams, and internal intelligence tools.
Podcast discovery engine
Search and rank shows, episodes, charts, and categories across supported podcast sources.
Audio catalog enrichment
Add artist, album, track, playlist, genre, and profile signals to internal catalog records.
Podcast chart monitor
Track chart rankings and category movement over time.
Creator and show research
Collect public show, episode, playlist, and profile data for media research.
Agent-ready podcast research
Expose narrow MCP-ready podcast tools for AI research assistants.
Media intelligence dashboard
Combine podcast, music, and audio catalog signals with other Crawlora platform data.
Build or buy
Why not build it yourself?
Custom scrapers can work for prototypes. Production web data workflows need infrastructure, monitoring, stable output, and clear failure behavior.
| DIY approach | Crawlora approach |
|---|---|
| Build separate Spotify and Apple Podcasts scrapers | Use documented audio and podcast API surfaces |
| Normalize shows, episodes, charts, and catalog pages yourself | Receive structured JSON from endpoint-specific routes |
| Wrap audio data manually for agents | Use MCP-ready metadata where documented |
| Track usage and cost outside the data workflow | Use API-key usage tracking and credit-based pricing |
Infrastructure
Explore the managed execution layer
Crawlora combines platform-specific APIs with managed proxy routing, browser-backed rendering, retries, rate limits, usage tracking, and scaling controls.
Responsible use
Use structured public web data responsibly
Use audio and podcast data for responsible public research, enrichment, and discovery workflows. Customers are responsible for respecting applicable laws, copyright, third-party rights, platform rules, and Crawlora terms. Read Crawlora terms.
Related use cases
More structured web data workflows
Cross-link practical workflows that often share the same data infrastructure and product buyers.
FAQ
Podcast and Audio Intelligence FAQ
Answers for developers and product teams evaluating Crawlora for this workflow.
Does Crawlora support Spotify data?+
Yes. Crawlora includes Spotify endpoints for catalog, artist, album, playlist, track, profile, genre, chart, audiobook, and search workflows where documented.
Does Crawlora support podcast data?+
Yes. Crawlora includes Spotify Podcasts and Apple Podcasts endpoints for show, episode, chart, category, recommendation, and search workflows where supported.
Can I use these endpoints with AI agents?+
Yes. Many audio and podcast endpoints expose MCP tool metadata in the generated docs, making them good candidates for narrow agent tools.
Can I track podcast charts?+
Yes, Apple Podcasts and Spotify Podcasts chart endpoints can support chart monitoring workflows. Check Docs for current parameters and response fields.
Can I combine audio data with other Crawlora APIs?+
Yes. Audio and podcast records can be combined with search, social, app store, marketplace, and business intelligence data in downstream products.
How do I start testing?+
Open a Spotify, Spotify Podcasts, or Apple Podcasts platform page, inspect a representative endpoint, then run it in Playground.
Start building
Start building with structured public web data
Browse Crawlora APIs, test a request in Playground, and move from scraping infrastructure work to production data workflows.