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Website Content Scraper with Make

Website Content Scraper with Make

Scrape websites and extract clean, structured text with Make.

Scrape websites and extract clean, structured text with Make.

Short Description: Scrape and extract structured website content seamlessly with Make.

How to Scrape and Extract Website Content with Make

Web scraping is a critical but challenging task for developers and automation engineers building AI applications, powering vector databases, or feeding RAG (Retrieval-Augmented Generation) pipelines. Manual scraping is slow, error-prone, and typically limited by platforms that dynamically load content with JavaScript or require frequent adjustments for site changes. Even simple scrapers often struggle to provide consistently clean, structured data.

Airtop’s Website Content Scraper automation using Make solves these common scraping hurdles. It effortlessly handles dynamic loading websites, ensuring accurate extraction of fully-rendered content directly from real browser sessions. This means you can confidently scrape dynamic pages, single-page applications, or content-heavy websites without compromising data quality or completeness. Additionally, the automation returns structured text, cleaned and ready for immediate integration into downstream applications like OpenAI assistants, vector databases, and AI-driven projects.

Beyond extracting content, Airtop also delivers a neatly structured list of all discovered page links, effortlessly supporting crawling workflows or more comprehensive site exploration. This tool significantly reduces setup complexity, seamlessly integrates with your tech stack, and offers complete customization tailored to diverse website structures and scraping needs.

Key Benefits

  • Seamless handling of dynamic JavaScript-rendered websites

  • Structured, clean output ready for downstream AI applications

  • Easy, no-authentication setup utilizing Make workflows

  • Reliable scraping with real browser sessions for accurate data extraction

Use Cases

  • Extracting structured website content to train LLM-based chatbots

  • Automatically populating vector databases with scraped knowledgebases

  • Creating comprehensive datasets for Retrieval-Augmented Generation (RAG) systems

  • Building flexible, automated crawlers for market research websites and competitor analysis

Getting Started with the Website Content Scraper Automation

Start quickly extracting structured text from dynamic websites using Airtop and Make.

How the Website Content Scraper Automation Works

This Airtop automation leverages Make to initiate scraping tasks. Airtop spins up real browser sessions, fully rendering dynamic website pages, executing JavaScript, and extracting consistently clean, structured text content. The automation also compiles a structured list of all discovered webpage links, providing detailed JSON outputs ideal for seamless integration with your AI and data tooling.

What You’ll Need

  • An Airtop account

  • A Make automation workflow

  • Target website URLs to scrape

Setting Up the Automation

  1. Launch a this template and complete the guided onboarding.

  2. Enter your target website URL(s) into the Airtop Website Content Scraper module in Make.

  3. Run or schedule the scenario to start scraping and get structured JSON results.

Customize the Automation

Airtop and Make enable you to fine-tune the Website Content Scraper to meet specific scenarios or objectives:

  • Adjust content selectors: Extract specific site elements like headings, paragraphs, metadata tags, or custom HTML elements.

  • Set crawling depth: Specify the depth levels to crawl across websites for comprehensive content scraping.

  • Manage scraping intervals: Automate periodic or recurring scrapes based on frequency requirements.

  • Define custom data structure: Tailor your JSON output schema to fit custom data models or downstream application schemas.

Automation Best Practices

  • Clearly define your target selectors to streamline extraction and optimize results.

  • Use structured outputs consistently to simplify data handling in downstream AI processes.

  • Regularly review dynamic website structures to maintain scraping configurations accurately.

  • Respect website scraping policies and avoid overwhelming servers with overly frequent requests.

Try this Automation

Effortlessly scrape dynamic website content, obtain structured JSON results, and seamlessly power your AI-powered apps and pipelines.

Website Content Scraper with Make

Need help customizing this automation? Book a Demo today!

Happy Automating!

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Unlock your AI Agents

Free your team up to develop ground-breaking AI Agents, Airtop handles the infrastructure.

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Unlock your
AI Agents

Free your team up to develop ground-breaking AI Agents, Airtop handles the infrastructure.

Book a Demo