Can You Use Make for Web Scraping?

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.