Make.com Web Scraping in 2025 — Full Comparison of No-Code Data Extraction Tools

If you're exploring make.com web scraping for your data pipeline, you've probably realized the landscape has changed. No-code platforms like Make.com offer HTTP and HTML parsing modules, but dedicated scraping tools have pulled ahead with headless browsers, proxy rotation, and AI-powered selectors. This comparison breaks down Make.com against Apify, Browse AI, Octoparse, and SearchHive — with real pricing numbers and code examples.

Key Takeaways

• Make.com handles basic static HTML scraping but lacks JavaScript rendering and built-in proxy rotation
• Apify and Octoparse add headless browsers but start at $49–$89/month with limited request counts
• SearchHive delivers 50,000 free requests/month with full JS rendering, proxy rotation, and a Python SDK
• No-code tools trade long-term flexibility for short-term simplicity — if your data needs grow, you'll hit walls fast
• For production scraping, API-based tools give you more control, lower costs, and predictable scaling

Comparison Table: Make.com vs Web Scraping Alternatives

Make.com for Web Scraping: What You Get

Make.com (formerly Integromat) offers two modules for data extraction:

1. HTTP — Make a Request: Sends GET/POST requests to any URL
2. HTML — Extract Text or Attribute: Parses returned HTML using CSS selectors

You chain these into visual scenarios: Trigger → HTTP → HTML Parse → Output (Sheets, Airtable, Slack, database). It's intuitive for simple cases.

Make.com Strengths

• Visual workflow builder — Map out scraping logic without writing code
• 500+ native integrations — Push data directly into Google Sheets, Airtable, Notion, databases
• Built-in scheduling — Run scenarios on intervals from every minute to monthly
• Error routing — Visual error handlers with retry logic and conditional paths

Make.com Weaknesses for Scraping

• No JavaScript rendering — Cannot handle React, Vue, Angular, or AJAX-loaded content. If the data loads after initial page load, Make.com returns an empty container.
• No proxy rotation — Every request comes from the same IP. Scrape more than a few dozen pages and you'll get rate-limited or blocked. You'd need to configure an external proxy service separately.
• Operations-based pricing — Each module in a scenario counts as one operation. A typical scrape (HTTP + Parse + Store) uses 3+ ops per page. The $16/mo Pro plan gives 10K operations = ~3,300 pages maximum.
• Brittle CSS selectors — Websites update their HTML frequently. When a class name changes, your Make.com scenario fails silently. No automatic repair.

How Make.com Compares Feature-by-Feature

JavaScript Rendering — The Dealbreaker

Modern websites use client-side frameworks. Product prices, reviews, search results — much of this content loads via JavaScript after the initial HTML response.

• Make.com: Only sees the initial server-rendered HTML. If data is injected by JS, it returns nothing useful.
• Apify: Full headless browser support via Puppeteer and Playwright actors. Handles SPAs, infinite scroll, and dynamically loaded content.
• Browse AI: Trains on visual page elements rather than CSS selectors. Works even when HTML structure changes.
• Octoparse: Cloud-based headless browser with "wait for element" and click-to-scrape features.
• SearchHive: ScrapeForge uses headless Chromium with configurable wait times, JS execution, and automatic element detection.

Proxy Rotation and Anti-Detection

Make.com has zero proxy management. You'd need to set up a proxy middleware separately, adding complexity that defeats the no-code appeal.

Pricing: The Real Cost Comparison

Make.com prices by operations, not pages. Each module execution is one operation:

SearchHive prices by API requests — one request = one fully scraped page:

SearchHive's free tier alone gives you 15× more scraping capacity than Make.com's Pro plan — and it includes JS rendering and proxy rotation.

Code Examples: Make.com Approach vs SearchHive

The Make.com Way (Visual, No Code)

In Make.com's visual builder, you'd configure:

1. An HTTP module pointing to your target URL
2. An HTML module extracting .product-name and .product-price
3. An iterator module to loop through results
4. A Google Sheets module to store the data

If the website changes its CSS classes, you manually update the HTML module. If the site adds rate limiting, you manually add delays. If you need JS rendering... you can't.

The SearchHive Way (Python API)

from searchhive import ScrapeForge

client = ScrapeForge()

# Single page scrape with full JS rendering
result = client.scrape(
    url="https://example.com/products",
    render_js=True,
    wait_for=".product-list",      # Wait for dynamic content to load
    selectors={
        "name": ".product-name",
        "price": ".product-price",
        "rating": ".review-count"
    }
)

for product in result.data:
    print(f"{product['name']}: ${product['price']} ({product['rating']} reviews)")

One function call handles rendering, waiting, parsing, and proxy rotation. No visual scenarios to maintain.

Batch Scraping Multiple Pages

from searchhive import ScrapeForge

client = ScrapeForge()

product_pages = [
    "https://store.example.com/category/electronics",
    "https://store.example.com/category/clothing",
    "https://store.example.com/category/home",
]

results = client.scrape_batch(
    product_pages,
    render_js=True,
    selectors={
        "title": "h1.page-title",
        "products": {"each": ".product-card", "fields": {
            "name": "h3",
            "price": ".price",
            "url": "a @href"
        }}
    },
    concurrency=3  # Parallel requests with auto rate limiting
)

for result in results:
    print(f"{result.url}: {len(result.data.get('products', []))} products found")

Automatic retry, proxy rotation, rate limiting, and parallel execution — all in three lines of configuration.

Scheduling Daily Scrapes

from searchhive import ScrapeForge
import schedule
import json
from datetime import datetime

client = ScrapeForge()

def daily_scrape():
    result = client.scrape(
        url="https://competitor.example.com/pricing",
        render_js=True,
        selectors={"plan": ".plan-name", "price": ".price-amount"}
    )
    
    with open(f"prices_{datetime.now():%Y%m%d}.json", "w") as f:
        json.dump(result.data, f)
    
    print(f"Scraped {len(result.data)} pricing entries")

schedule.every().day.at("06:00").do(daily_scrape)

while True:
    schedule.run_pending()

Combine SearchHive's API with Python's schedule library for reliable, automated scraping on any cadence.

When to Use Each Tool

Choose Make.com if:

• You're already in the Make.com ecosystem and need simple, low-volume scraping
• Target sites are static HTML with no JS rendering requirements
• You scrape fewer than 500 pages/month and don't need proxy rotation
• Visual workflow building is a hard requirement for your team

Choose SearchHive if:

• You need JavaScript rendering for modern, dynamic websites
• You want built-in proxy rotation without managing proxy providers
• You're scraping more than 1,000 pages/month and want predictable costs
• You prefer Python code over visual builders for maintainability and version control
• You want a generous free tier (50K requests/month) to start with

Verdict

Make.com is a solid automation platform, but it's not a dedicated web scraping tool. Its lack of JavaScript rendering, proxy rotation, and scraping-specific features means you'll quickly outgrow it for any serious data extraction project.

SearchHive gives you everything Make.com can't: headless browser rendering, automatic proxy rotation, a clean Python SDK, and 50,000 free requests per month. For developers building data pipelines, monitoring competitors, or extracting structured data at scale, SearchHive is the clear winner.

Start with SearchHive's free tier — no credit card, full ScrapeForge access, 50,000 requests/month. When you need more, the Pro plan at $29/mo delivers 100,000 requests with priority support.

For more comparisons, see /compare/apify, /compare/browse-ai, and /compare/octoparse.

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Ready to move beyond no-code limitations? Start scraping with SearchHive — free tier includes full JS rendering, proxy rotation, and Python SDK. Check the docs.