
Substack Leaderboard Scraper π
Under maintenance
Pricing
$19.99/month + usage

Substack Leaderboard Scraper π
Under maintenance
Scrape detailed publication data from Substack leaderboards. Get comprehensive insights about top newsletters including subscriber counts, pricing, author details, and more. Perfect for newsletter research and market analysis.
0.0 (0)
Pricing
$19.99/month + usage
1
Total users
4
Monthly users
2
Runs succeeded
>99%
Last modified
3 days ago
Powerful scraper for extracting comprehensive data from Substack leaderboards. Get detailed insights about top newsletters, their performance, and monetization metrics.
π₯ Features
- Scrapes complete publication data from Substack leaderboards
- Extracts detailed metrics including subscriber counts, pricing plans, and engagement data
- Captures author information, publication details, and monetization settings
- Supports multiple currency pricing information
- Handles pagination automatically
- Built-in stealth mechanisms to ensure reliable scraping
π Use Cases
- Newsletter market research
- Competitive analysis
- Content strategy planning
- Pricing strategy research
- Author and publication discovery
- Media industry analysis
π Output Data
Each scraped publication includes:
- Publication name, description, and URL
- Subscriber counts and rankings
- Author details and social media links
- Pricing plans across multiple currencies
- Publication settings and features
- Podcast and community information
- Monetization configurations
- Theme and customization settings
π Input Parameters
The actor accepts the following inputs:
leaderboardUrls
: Array of Substack leaderboard URLs to scrapemaxItems
: Maximum number of items to scrape (optional)proxyConfiguration
: Proxy settings (optional)
π‘ Tips
- Use proxy configuration for better reliability
- Adjust
maxItems
based on your needs - Consider rate limiting for large-scale scraping
π Notes
- Respects Substack's robots.txt
- Built with Puppeteer for reliable data extraction
- Includes automatic retries and error handling
Input Example
A full explanation of an input example in JSON.
{"leaderboardUrls": ["https://substack.com/leaderboard/technology/paid"],"maxItems": 50}
Output sample
The results will be wrapped into a dataset which you can always find in theΒ StorageΒ tab. Here's an excerpt from the data you'd get if you apply the input parameters above:
And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.
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