A high-performance scraping tool designed to extract articles, metadata, and engagement metrics from Substack publications via the Apify API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install apify-substack-scraper
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install apify-substack-scraper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Substack Scraper is a robust integration designed for developers and researchers who need to programmatically access newsletter content. By utilizing an Apify Actor, this skill allows users to crawl Substack publications to retrieve full article text, author information, and publication dates. As part of the wider ecosystem of Openclaw Skills, it provides a seamless way to feed niche newsletter data into AI agents or content pipelines.
This tool is particularly valuable for those looking to archive digital content or perform competitive analysis within the newsletter space. It handles the complexities of web crawling and data structuring, delivering clean JSON output that is ready for analysis or redistribution. By incorporating Openclaw Skills into your workflow, you can bypass manual data collection and focus on deriving insights from the scraped content.
To get started with this skill, ensure you have your Apify API credentials ready. Follow these steps to configure your environment:
export APIFY_TOKEN=your_token_here
curl and jq are installed on your local machine to handle API requests and JSON parsing.The skill processes and returns data based on the following schema:
| Parameter | Type | Description |
|---|---|---|
urls |
Array | A list of Substack publication URLs to be scraped. |
maxArticles |
Integer | The maximum number of posts to extract per publication. |
includeContent |
Boolean | If true, the full body text of the articles will be included. |
Output Format:
The result is a JSON array of items containing fields such as title, author, canonical_url, post_date, and body_html (if content is requested).
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