Podchase Product Info Scraper

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The Podchase Product Info Scraper is a powerful tool designed to extract detailed information about podcasts from Podchaser. This Actor allows users to gather comprehensive data on podcasts, including titles, descriptions, hosts, categories, and more, enabling efficient data collection for various analytical purposes.

Features

• Comprehensive Data Extraction: Collects detailed podcast information such as title, description, hosts, and categories.
• High Data Quality: Ensures accurate and up-to-date information directly from Podchaser.
• Efficient Performance: Quickly processes multiple URLs to provide timely results.
• User-Friendly Interface: Simple setup and execution with minimal configuration required.
• Flexible Output Formats: Export data in JSON, CSV, or Excel formats for easy integration.
• Automated Scraping: Schedule and automate data extraction tasks for continuous updates.
• Reliable and Scalable: Built to handle large volumes of data efficiently.

Input Parameters

Example Usage

Example Input

{
"startUrls":[
{
"url":"https://www.podchaser.com/podcasts/learn-english-with-coffee-brea-1020907"
}
]
}

Example Output

[
{
"url":"https://www.podchaser.com/podcasts/learn-english-with-coffee-brea-1020907",
"title":"Learn English with Coffee Break English",
"description":"With Josie Dinwoodie and Mark Pentleton, 107 episodes...",
"coverImage":"https://assets.pippa.io/shows/611ed01b06c05e6cb7f40e59/show-cover.jpg",
"hosts":[
{
"name":"Josie Dinwoodie",
"url":"/creators/josie-dinwoodie-107ta6Tr8v"
},
{
"name":"Mark Pentleton",
"url":"/creators/mark-pentleton-107ZzlOea8"
}
],
"network":"Coffee Break Languages",
"categories":["Education"],
"episodeCount":107,
"podcastStatus":"Active",
"startDate":"Feb 25th, 2020",
"releasePeriod":"Weekly",
"avgEpisodeLength":"17 minutes",
"explicit":false,
"language":"English",
"feedUrl":"https://feeds.acast.com/public/shows/183d2cc4-50d2-420f-a306-40dae4a0bfa7",
"websiteUrl":"https://coffeebreakacademy.com",
"communityRating":0,
"scrapedAt":"2026-05-03T08:05:37.682Z"
}
]

Use Cases

• Market Research and Analysis: Gather insights into podcast trends and audience preferences.
• Competitive Intelligence: Monitor competitor podcasts and their performance.
• Content Aggregation: Compile podcast data for content curation platforms.
• Academic Research: Analyze podcast content for linguistic or cultural studies.
• Business Automation: Automate data collection for podcast directories.
• Price Monitoring: Track subscription models and pricing strategies.

Installation and Usage

1. Search for "Podchase Product Info Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The output is a JSON array where each object contains detailed information about a podcast, including fields like url, title, description, hosts, categories, episodeCount, and more. This structured format allows for easy data manipulation and analysis.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!