A unified web scraping solution for extracting structured data from over 30 major platforms including LinkedIn, Amazon, and Twitter.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install web-scraping-api
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 web-scraping-api using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Web Scraping API is a robust tool designed for developers who need to extract high-quality data from the web's most popular platforms without the headache of managing proxy rotations or bypasses. As part of the Openclaw Skills ecosystem, it provides a seamless interface to crawl LinkedIn profiles, Amazon product listings, and Google search results, delivering data in clean, structured JSON format. This skill eliminates the complexity of writing custom scrapers for every site by offering a single, unified endpoint for 30+ services.
By leveraging this skill, developers can focus on data analysis rather than infrastructure. Whether you are building market intelligence tools or automating lead generation, this integration ensures reliable access to web data with minimal configuration. It represents a significant efficiency boost for anyone utilizing Openclaw Skills for automated research and data gathering.
To get started with this skill, you need a SkillBoss API key and the Openclaw environment configured.
# Install the Openclaw environment
curl -fsSL https://skillboss.co/openclaw-setup.sh | bash
# Export your API key
export SKILLBOSS_API_KEY="your_api_key_here"
Visit the SkillBoss console at https://skillboss.co/console to obtain your API credentials. Ensure this environment variable is accessible to your Openclaw Skills execution environment.
The Web Scraping API returns data in a standardized JSON format specific to the platform being scraped. Below is a representation of common data structures:
| Platform | Data Type | Key Fields |
|---|---|---|
| Profiles/Jobs | name, experience, skills, job_description, company_url | |
| Amazon | Products | title, price, rating, reviews_count, availability |
| Google Search | SERP | title, link, snippet, rank, source |
| Twitter/X | Tweets | text, author, likes, retweets, timestamp |
| Google Maps | Places | title, address, rating, reviews, phone_number |
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