Can you use Make for web scraping?
Quick Answer: Yes, within limits. Make supports web scraping through HTTP modules (for simple page fetching and parsing), text parser modules, and integrations with dedicated scraping services like Apify, ScrapingBee, and Browserless. Make is suited for small-scale scraping; large-scale operations benefit from a dedicated scraping platform.
Using Make for Web Scraping
Make offers several paths for web scraping, from direct HTTP requests to integrations with specialized scraping services. The right approach depends on scale, target site complexity, and whether JavaScript rendering is required.
Method 1: HTTP Module
Make's HTTP module sends GET requests and retrieves raw HTML. Best for simple static pages.
- GET request to target URL
- Parse response with Text Parser module (regex)
- Extract fields into variables
- Limit: does not execute JavaScript; only works on server-rendered content
Method 2: Text Parser Module
Text Parser supports regex and "Match pattern" operations to extract data from HTML or text responses.
- Parse HTML with regex capture groups
- Handle multiple matches with iterator
- Limit: breaks easily when page structure changes
Method 3: Apify Integration
Apify is a scraping platform with actors (pre-built scrapers) for common sites. Make's Apify module runs actors and receives results.
- Pre-built actors for Google Maps, LinkedIn, e-commerce sites
- JavaScript rendering support
- Pay-per-compute pricing on Apify
Method 4: ScrapingBee Integration
ScrapingBee offers a scraping API that handles headless browsers, proxies, and CAPTCHA.
- HTTP requests with JavaScript rendering
- Proxy rotation and geo-targeting
- Pricing: starts at $49/month for 100,000 API calls
Method 5: Browserless Integration
Browserless provides a hosted headless Chrome API. Custom scripts run in a browser and return data.
- Full JavaScript rendering
- Custom Puppeteer or Playwright scripts
- Usage-based pricing
When Make Fits Scraping
- Small volume (under 1,000 pages/day)
- Simple, static target sites
- Teams already using Make for other workflows
- Scraping as part of a larger workflow (enrichment, monitoring)
When a Dedicated Scraper Is Better
- Large-scale (100K+ pages/day)
- Sites requiring browser automation and complex interaction
- Anti-bot bypass and CAPTCHA solving at scale
- Teams needing structured data pipelines
Legal and Ethical Notes
Scraping should respect robots.txt, site terms of service, and applicable laws. Some jurisdictions (EU, US) have court rulings on scraping public data; others are more restrictive. Always check target site terms before scraping.
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