How to Build a Web Scraping Agent

Introduction

Traditional web scraping requires writing code, handling anti-bot measures, and maintaining scripts when websites change. An OpenClaw agent with browser automation does this with natural language instructions. Tell it what data you need, and it figures out how to extract it.

Prerequisites

• A KiwiClaw account with an active agent (setup guide)
• Standard or Enterprise plan (browser automation requires sandbox access)
• Target URLs you want to scrape

Step-by-Step Instructions

Step 1: Enable Browser Automation

In your agent settings, ensure browser automation is enabled. This gives your agent access to a real browser for rendering JavaScript-heavy pages.

Step 2: Install Web Skills

Install the xurl skill for URL fetching and the BlogWatcher skill for page monitoring. These give your agent robust web access capabilities.

Step 3: Define Your Scraping Targets

Tell your agent what you want to extract. Be specific about the data points:

"Go to competitor.com/pricing and extract all plan names, prices, and feature lists. Format the data as a markdown table."

Step 4: Test Extraction

Run a test scrape and review the output. Refine your instructions if the agent misses data or extracts the wrong fields. The agent improves with feedback.

Step 5: Schedule Recurring Scrapes

Use cron jobs to automate scraping on a schedule. For example, check competitor pricing every Monday morning and post changes to Slack.

Step 6: Configure Change Alerts

Set up notifications for when monitored data changes. Connect to Slack or Telegram for instant alerts when a competitor updates their pricing or a target page changes.

Pro Tips

• Use the Competitive Intelligence template for a pre-configured setup with web monitoring and reporting.
• Respect rate limits -- Space out requests and respect robots.txt to avoid being blocked.
• Export to structured formats -- Ask your agent to output data as CSV, JSON, or markdown tables for easy analysis.
• Combine with data analysis to process scraped data and generate insights automatically.

Frequently Asked Questions

Can OpenClaw scrape JavaScript-rendered websites?

Yes. With browser automation enabled, OpenClaw uses a real browser to render pages, including JavaScript-heavy single-page apps. It can interact with elements, fill forms, and extract data from dynamically loaded content.

Is web scraping with OpenClaw legal?

Web scraping legality depends on the target website's terms of service and your jurisdiction. OpenClaw provides the technical capability; you are responsible for ensuring your scraping activities comply with applicable laws and the target site's robots.txt and ToS.

Can the scraping agent handle pagination?

Yes. You can instruct the agent to navigate through paginated results, click "next" buttons, or construct URLs for each page. The agent handles multi-page scraping naturally through its browser automation capabilities.