Apify vs ScraperAPI (2026): No-code platform vs developer API — which fits your stack?

These two tools serve different buyers. Apify is a platform — marketplace, scheduler, no-code UI, actor ecosystem. ScraperAPI is an API — drop-in proxy with CAPTCHA bypass, two query parameters, raw HTML returned. Choosing between them is about your team’s technical profile and use case, not about which is “better.”

What each tool is optimised for

ScraperAPI is designed for the developer who already has a scraping pipeline — Python requests, Node.js got, Go net/http — and needs to add proxy rotation and anti-bot bypass without changing architecture. You add two parameters to your existing URL. ScraperAPI returns the HTML your code already parses. Zero new concepts.

Apify is designed for the developer (or non-developer) who wants someone else to have already solved the scraping problem for their target site. Instead of writing XPath, you find an actor that scrapes Amazon product pages and call it with an ASIN. Instead of maintaining a Playwright script, you use Apify’s pre-maintained Web Scraper actor.

The integration comparison

ScraperAPI — minimal change to existing code

import requests

# Before: requests.get(url)
# After: add two params
r = requests.get(
  'https://api.scraperapi.com',
  params={'api_key': 'YOUR_KEY', 'url': 'https://example.com/product'}
)
print(r.text)  # Same HTML you were already parsing

Apify — actor-first approach

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

# Run the Amazon Product Scraper actor — no CSS selectors needed
run = client.actor("junglee/amazon-product-scraper").call(
  run_input={"asins": ["B09XYZ123", "B08ABC456"]}
)
# Returns structured JSON: title, price, rating, images, availability
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
  print(item["title"], item["price"])

The Apify version returns structured data — price, title, availability — with no parsing work. The ScraperAPI version returns raw HTML. You write the CSS selectors. Apify wins if a good actor exists for your target; ScraperAPI wins if you want to control the parsing.

SERP data: Apify wins

On Google SERP extraction (1,000 requests):

• Apify Google Search Scraper: 96% success, $2.80/1K
• ScraperAPI SERP endpoint: 78% success, $6.10/1K (at 10 credits/request)

For any pipeline that pulls Google results, Apify’s SERP actor is roughly 2× cheaper and 23% more successful. This is the clearest case where the actor marketplace pays off.

AI/RAG pipelines: Apify’s Web Content Crawler

Segment 4 (AI engineers building RAG pipelines) needs clean Markdown returned from arbitrary URLs — not raw HTML. Apify’s Web Content Crawler actor returns structured Markdown:

run = client.actor("apify/website-content-crawler").call(
  run_input={
      "startUrls": [{"url": "https://docs.example.com"}],
      "maxCrawlDepth": 2,
  }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
  print(item["markdown"])  # LLM-ready text, ads and nav removed

ScraperAPI has no equivalent. Raw HTML requires downstream cleaning before feeding to an LLM context window.

Budget reality

Both start at $49/mo, but the cost behaviour diverges:

ScraperAPI Hobby ($49/mo, 20K credits):

• 20K simple requests: $49/mo all-in
• 4K protected-site requests (5 credits each): $49/mo all-in
• Predictable: credits consumed, billing clear

Apify Starter ($49/mo, $49 compute credit):

• 10,000-row data extraction run: ~$8–$15 compute
• 3–6 runs/month at this scale before credits expire
• Unpredictable if you’re running large jobs — compute costs spike with data volume

For a predictable $49/mo spend: ScraperAPI is easier to budget. For a workload that varies (some months 5 runs, some months 2), Apify is fine.

Who should choose what

Choose Apify if:

• You’re non-technical and need a pre-built scraper for a known site
• Your use case is Google SERP monitoring at scale
• You’re building an AI/RAG pipeline and need clean Markdown
• You want cloud scheduling without writing cron jobs

Choose ScraperAPI if:

• You already have a working scraper and just need proxy/anti-bot handling
• Your use case is a single, specific target URL
• You want the fastest path from zero to working code
• You want predictable per-credit billing

FAQ

Can I use both Apify and ScraperAPI?

Yes. Some teams use ScraperAPI for bulk raw-HTML scraping and Apify actors for structured data extraction from specific high-value targets.

Which has a better free tier?

Apify’s $5 credit covers more initial tests for actor-based use cases. ScraperAPI’s 1K credits is better for testing a raw API integration. Both are limited — don’t expect to run production workloads on either free tier.

Which is better for a data engineer?

Apify — the actor ecosystem, SDK, and Scrapy Kubernetes integration make it better suited for data pipeline work. ScraperAPI is better for adding proxy rotation to an existing scraper.