Make.com Web Scraping: The Complete Guide to No-Code Data Extraction

Looking for a way to pull data from websites without writing code? Make.com web scraping is one of the most searched terms for people who want to automate data collection using a visual workflow builder. Make (formerly Integromat) offers a drag-and-drop interface with thousands of integrations, and it does include some web scraping capabilities through its HTTP and HTML parsing modules.

But before you commit to Make.com for web scraping, understand its limitations -- especially compared to dedicated scraping APIs. This guide covers what Make.com can actually do, where it falls short, and why developers often pair it with (or replace it with) SearchHive ScrapeForge.

Key Takeaways

• Make.com handles simple scraping through its HTTP module + iterator + HTML extractor pattern, but struggles with JavaScript-rendered pages, CAPTCHAs, and large-scale extraction.
• Pricing adds up fast -- Make.com charges per operation, and scraping-heavy workflows consume credits quickly on paid plans ($10-$16+/mo base, plus credits consumed per request).
• No built-in proxy rotation or anti-bot bypass -- you will need third-party proxy services to scrape at any meaningful scale.
• Dedicated scraping APIs like SearchHive ScrapeForge handle all the hard parts (rendering, proxies, CAPTCHAs, parsing) at a fraction of the cost per page.
• Make.com works well as an orchestration layer -- call ScrapeForge from Make.com to get the best of both worlds.

Comparison: Make.com vs SearchHive ScrapeForge for Web Scraping

Make.com Web Scraping: How It Works

Make.com provides a few modules that together form a basic scraping pipeline:

1. HTTP Module -- Makes GET/POST requests to target URLs
2. Iterator -- Loops through lists of URLs or HTML elements
3. HTML Extractor -- Parses HTML using CSS selectors
4. Set Variable / Filter -- Cleans and transforms extracted data

Here is a typical Make.com scraping scenario: trigger on schedule, fetch a URL with the HTTP module, parse the response HTML with the HTML Extractor, then route the data to Google Sheets or a database.

Limitations You Will Hit Fast

• Static HTML only. Make.com HTTP module fetches the raw HTML source. If the page renders content with JavaScript (React, Vue, Angular), you get an empty container or loading spinner, not the actual data.
• No proxy management. Scraping more than a few dozen pages from the same domain will trigger rate limits and IP blocks. You would need a separate proxy service and configure it manually.
• Credits burn quickly. Each HTTP request, iteration, and data operation consumes credits. A workflow that scrapes 1,000 product pages might consume 5,000-10,000 credits across all operations.
• Fragile selectors. If the target site changes its HTML structure, your Make.com scenario breaks silently. There is no built-in monitoring or auto-recovery.

SearchHive ScrapeForge: Built for Web Scraping

SearchHive ScrapeForge is a dedicated web scraping API that handles everything Make.com cannot -- JavaScript rendering, proxy rotation, CAPTCHA bypass, and clean structured output.

Basic ScrapeForge Usage

import requests

API_KEY = "your_searchhive_api_key"
BASE_URL = "https://api.searchhive.dev/v1"

response = requests.post(
    f"{BASE_URL}/scrape",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "url": "https://example.com/products",
        "format": "markdown",
        "render_js": True
    }
)

data = response.json()
print(data["content"][:500])

Batch Scrape Multiple Pages

urls = [
    "https://example.com/products/page/1",
    "https://example.com/products/page/2",
    "https://example.com/products/page/3",
]

results = []
for url in urls:
    response = requests.post(
        f"{BASE_URL}/scrape",
        headers={"Authorization": f"Bearer {API_KEY}"},
        json={"url": url, "format": "json", "render_js": True}
    )
    results.append(response.json())

print(f"Scraped {len(results)} pages")

Extract Structured Data with CSS Selectors

response = requests.post(
    f"{BASE_URL}/scrape",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "url": "https://news.ycombinator.com",
        "selectors": {
            "titles": ".titleline > a",
            "scores": ".score",
            "links": ".titleline > a[href]"
        }
    }
)

structured = response.json()
for title in structured.get("data", {}).get("titles", []):
    print(title)

Pricing Comparison in Detail

Make.com Pricing

• Free: 1,000 operations/mo, 2 active scenarios, 5-min max execution, 15-min minimum schedule interval
• Core: ~$10.59/mo, 10K operations, unlimited scenarios, 40-min max execution
• Pro: ~$18.82/mo, 10K operations + priority execution
• Teams: ~$34.27/mo, 10K operations + team collaboration features
• Enterprise: Custom pricing

Operations include every HTTP request, iteration step, filter evaluation, and data transformation. A scraping workflow that processes 100 pages could consume 500-2,000+ operations depending on complexity.

SearchHive Pricing

• Free: 500 credits (one-time), full access to SwiftSearch, ScrapeForge, and DeepDive
• Starter: $9/mo for 5,000 credits
• Builder: $49/mo for 100,000 credits (most popular)
• Unicorn: $199/mo for 500,000 credits

At 1 credit per scrape, that is $9 for 5,000 pages compared to Make.com where scraping 5,000 pages could consume 25,000+ operations across the full workflow -- pushing you past the Core plan.

The Best Strategy: Use Both Together

Make.com excels at workflow orchestration -- connecting apps, triggering automations, routing data. SearchHive ScrapeForge excels at the actual scraping. The ideal setup:

1. Use Make.com as the orchestrator -- schedule triggers, connect to Slack/Sheets/Airtable
2. Call ScrapeForge from Make.com HTTP module -- one API call per page, get clean structured data back
3. Route ScrapeForge output to your destinations -- Sheets, databases, webhooks, email

This gives you the visual workflow builder for orchestration and a production-grade scraping API for data extraction. Check out the SearchHive docs to get started with 500 free credits.

Verdict

Make.com is a solid workflow automation platform, but it is not a web scraping tool. Its scraping capabilities are limited to simple HTTP fetches of static HTML with manual CSS selector parsing. For any real-world scraping need -- JavaScript rendering, proxy rotation, CAPTCHA handling, structured output -- you need a dedicated API.

SearchHive ScrapeForge starts at $9/mo for 5,000 pages with all the hard parts handled automatically. Pair it with Make.com for orchestration, or skip Make.com entirely and use ScrapeForge directly in your Python/Node.js code. Either way, you get more scraping power for less money.

Get 500 free credits on SearchHive and see the difference a purpose-built scraping API makes.