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SKILL FILE

Scrape Podcasts with AI

Extract podcast episodes, show notes, rankings, and listener data from Apple Podcasts and Spotify using Apify and Claude Code.

500M+ Podcasts users or records
300 items scraped per minute
$0.40 per 1,000 episodes
Download Skill File ↓
CROSS-DEPARTMENT FLOW

How scraped Podcasts data flows across your company

One scrape generates intelligence for every department — automatically

Scrape Podcasts podcast episodes, show notes, rankings, and listener data from Apple Podcasts and Spotify
1 Configure Targets
2 Apify Actor Runs
3 Data Processed
4 Stored in CRM
Sales
  • → Identify prospects from scraped data
  • → Track competitor activity
  • → Source outreach targets
  • → Build lead lists
Marketing
  • → Content research and ideation
  • → Competitor strategy analysis
  • → Trend monitoring
  • → Audience insights
Growth
  • → Market sizing and analysis
  • → Engagement benchmarking
  • → Growth opportunity identification
  • → Platform trend tracking
CRM
  • → Data records stored
  • → Engagement metrics indexed
  • → Source attribution tagged
  • → Historical data tracked
Lead List
Research Report
Trend Analysis
Market Report
Events Tracked
Podcasts data collected
Patterns identified
Benchmarks established
Replaces Chartable
$79/mo $3/mo
$912/yr saved
Scrape Podcasts podcast episodes, show notes, rankings, and listener data from Apple Podcasts and Spotify
1
Configure Targets Podcasts URLs, keywords, or filters defined
2
Apify Actor Runs Scraper extracts data — $0.40/1,000 episodes
3
Data Processed Records cleaned, scored, and categorized
4
Stored in CRM Intelligence pushed to Neon database with attribution
Sales
  • → Identify prospects from scraped data
  • → Track competitor activity
  • → Source outreach targets
  • → Build lead lists
Marketing
  • → Content research and ideation
  • → Competitor strategy analysis
  • → Trend monitoring
  • → Audience insights
Growth
  • → Market sizing and analysis
  • → Engagement benchmarking
  • → Growth opportunity identification
  • → Platform trend tracking
CRM
  • → Data records stored
  • → Engagement metrics indexed
  • → Source attribution tagged
  • → Historical data tracked
Content Outputs
Research Report from marketing
Lead List from sales
Trend Analysis from marketing
Market Report from growth
Everything Tracked
Podcasts data collected
Patterns identified
Benchmarks established
Replaces Chartable
$79/mo → $3/mo
$912/yr saved
REPLACES

Cancel your Chartable subscription

CANCEL THIS

Chartable

$79/mo
  • × Subscription fees
  • × Data locked in their dashboard
  • × Per-seat pricing
  • × Export limits
vs
BUILD THIS

SoloStack + Claude Code

$3/mo
  • ✓ Pay-per-use, no subscription
  • ✓ Your data in your repo
  • ✓ Zero vendor lock-in
  • ✓ Unlimited exports
Save $912/year
WHAT YOU GET

What this skill file teaches Claude

Drop one markdown file into your repo. Claude Code learns how to run this entire workflow.

1

Data Extraction

Pull key data points from Podcasts including profiles, content, and metadata.

2

Search & Filter

Search by keywords, categories, or specific URLs to target exactly what you need.

3

Engagement Metrics

Capture engagement signals — views, likes, shares, and comments for every item.

4

Bulk Processing

Process hundreds or thousands of records in a single run with automatic pagination.

5

Export & Integration

Output clean JSON ready for CRM import, analysis, or integration with other tools.

Apify Actor: epctex/apple-podcasts-scraper · ~$0.40 per 1,000 episodes
IN ACTION

Build it with plain English

Tell Claude Code what to do. It handles the rest.

claude — solostack/
you: | 
Processing Podcasts data...

✓ Data extracted successfully
✓ 234 records collected
✓ Cleaned and deduplicated
✓ Ready for CRM import

Data saved to scrape-podcasts-results.json
you: | 
Processing Podcasts data...

✓ Data extracted successfully
✓ 567 records collected
✓ Cleaned and deduplicated
✓ Ready for CRM import

Data saved to scrape-podcasts-results.json
you: | 
Processing Podcasts data...

✓ Data extracted successfully
✓ 89 records collected
✓ Cleaned and deduplicated
✓ Ready for CRM import

Data saved to scrape-podcasts-results.json
USE CASES

What you can build with this

Podcast guest research

Find podcasts in your niche that feature guests. Identify shows for PR outreach and guest pitching.

Content trend analysis

Analyze episode topics across podcasts in your industry to understand what audiences want to hear.

Competitive monitoring

Track competitor podcast appearances. Know when they get featured and what they discuss.

Ad placement research

Analyze podcast ratings and categories to find optimal ad placement opportunities for your brand.

IMPORTANT

Things to know

!

Apple Podcasts and Spotify have different data. Scrape both for comprehensive coverage.

!

Download/listener counts are not publicly available. Use rankings as proxies.

!

Podcast data changes slowly. Monthly scrapes are sufficient for most use cases.

COMPLETE SKILL FILE

Get the full skill file

Everything above is 80% of the skill file. Download the complete version with full implementation details, agent prompts, and ready-to-run scripts.

FAQ

Common questions

Scraping publicly available data from Podcasts is a gray area. Most courts have upheld that public data can be accessed for research purposes. Always respect the platform's ToS, use data for internal research only, and comply with GDPR/CCPA when handling personal information.
For trend monitoring, weekly scrapes capture meaningful changes. For competitive analysis, bi-weekly to monthly is sufficient. The optimal frequency depends on how quickly data changes on the platform.
The Apify actor uses residential proxies and request throttling to minimize blocks. If you experience issues, reduce request volume, increase delays between requests, and consider running scrapes during off-peak hours.
Yes. The output is clean JSON that can be directly imported into Neon (Postgres), Airtable, or any CRM with an API. Use the TypeScript integration code in the skill file to automate the pipeline.
Apify charges ~$0.40 per 1,000 episodes. A typical research run costs $1-5 depending on volume. Compare that to SaaS alternatives at $79/mo — you save $912/yr saved.
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