Pricing
from $2.99 / 1,000 results
Substack Leaderboard Scraper ๐
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.
Pricing
from $2.99 / 1,000 results
Rating
0.0
(0)
Developer
Actor stats
3
Bookmarked
74
Total users
8
Monthly active users
0.23 hours
Issues response
a month ago
Last modified
Categories
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Powerful scraper for extracting comprehensive data from Substack leaderboards. Get detailed insights about top newsletters, their performance, and monetization metrics.
๐ฅ 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
๐ Use Cases
- Newsletter market research
- Competitive analysis
- Content strategy planning
- Pricing strategy research
- Author and publication discovery
- Media industry analysis
๐ 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
๐ 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)
๐ก Tips
- Use proxy configuration for better reliability
- Adjust
maxItemsbased on your needs - Consider rate limiting for large-scale scraping
๐ 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 the Storage 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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