SimpleCrawl vs Apify: Which Web Scraping Platform is Right for You?

Comparing SimpleCrawl and Apify is like comparing a focused tool with a full platform. Apify is a cloud-based web scraping and automation platform with an actor ecosystem, scheduling, storage, and orchestration. SimpleCrawl is a single API that converts web pages to clean, structured data.

If you are searching for an Apify alternative that is simpler to use and purpose-built for AI workflows, this comparison explains exactly when each tool makes sense.

Architecture: API vs Platform

This is the fundamental difference:

SimpleCrawl is an API. You send a URL, you get data back. Apify is a platform. You deploy and run scraping programs (actors) in a managed cloud environment.

SimpleCrawl's Approach

One API, three output modes:

# Get markdown
curl -X POST https://api.simplecrawl.com/scrape \
  -H "Authorization: Bearer YOUR_KEY" \
  -d '{"url": "https://example.com", "output": "markdown"}'

# Get structured JSON
curl -X POST https://api.simplecrawl.com/scrape \
  -H "Authorization: Bearer YOUR_KEY" \
  -d '{"url": "https://example.com", "output": "json", "schema": {"title": "string", "price": "number"}}'

# Batch scrape
curl -X POST https://api.simplecrawl.com/batch \
  -H "Authorization: Bearer YOUR_KEY" \
  -d '{"urls": ["https://example.com/1", "https://example.com/2"], "output": "markdown"}'

Apify's Approach

Find or build an actor, configure it, run it, fetch results from a dataset:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('apify/website-content-crawler').call({
    startUrls: [{ url: 'https://example.com' }],
    maxCrawlPages: 100,
    outputFormats: ['markdown'],
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();

Apify gives you more control over the crawling process. SimpleCrawl gets you to data faster.

Feature Comparison

When Apify Is the Clear Winner

Site-Specific Scrapers

Apify's actor marketplace is its killer feature. Need to scrape Amazon products, LinkedIn profiles, Google Maps listings, or Instagram posts? There is probably a pre-built, maintained actor for that:

• Amazon Product Scraper — extracts products, prices, reviews, rankings
• Google Maps Scraper — business listings with addresses, phone numbers, ratings
• LinkedIn Profile Scraper — professional data (within ToS limits)
• TikTok Scraper — video metadata, engagement metrics
• Zillow Scraper — real estate listings

These actors handle site-specific quirks — pagination, login flows, rate limiting, dynamic loading patterns — that would take weeks to build from scratch. SimpleCrawl's general-purpose API cannot match this depth for specific sites.

Complex Workflows

Apify lets you chain actors, schedule runs, and build multi-step workflows:

1. Actor A discovers product URLs from category pages
2. Actor B scrapes each product page for details
3. Actor C compares prices against yesterday's data
4. Webhook notifies your backend of price changes

SimpleCrawl handles steps 2 and 3 (scraping and extraction) but not the orchestration. You would build the workflow in your own code.

Long-Running Jobs

Apify actors can run for hours, processing thousands of pages with built-in resume/retry logic. SimpleCrawl's batch API handles this too, but Apify's dashboard gives better visibility into long-running jobs.

When SimpleCrawl Is the Clear Winner

AI/LLM Data Pipelines

If you need web data to feed into language models, embeddings, or RAG pipelines, SimpleCrawl returns LLM-optimized markdown without the overhead of setting up an Apify actor.

import simplecrawl

client = simplecrawl.Client(api_key="YOUR_KEY")

urls = ["https://docs.example.com/page1", "https://docs.example.com/page2"]
results = client.batch(urls=urls, output="markdown")

for r in results:
    # Feed directly into embedding model
    chunks = chunk_text(r.markdown, max_tokens=512)
    embeddings = embed(chunks)
    vector_db.insert(embeddings)

With Apify, you would need to find an appropriate actor, configure it, run it, poll for completion, fetch from the dataset, and then convert the output to a format your LLM pipeline expects.

Quick Integration

SimpleCrawl integration takes minutes, not hours. The API surface is minimal — one endpoint for scraping, one for batching. Apify requires understanding actors, runs, datasets, task configuration, and the platform's execution model.

Time to first successful scrape in our testing:

Predictable Pricing

Apify prices by "platform credits" which correspond to compute time, memory, and storage. A simple scrape might cost fractions of a cent. A complex actor using 4GB of memory for an hour costs more. Predicting your monthly bill requires understanding each actor's resource profile.

SimpleCrawl charges per page scraped. Period. No compute-time calculations.

Consistent Output Quality

Apify actors vary in quality. Some are well-maintained, others are abandoned or produce inconsistent output. The marketplace has reviews and ratings, but you still need to evaluate each actor.

SimpleCrawl's output quality is consistent across all URLs — the same extraction engine handles every page.

Pricing Deep Dive

Apify Pricing

Platform credits translate to compute resources. A typical web scraper actor uses $0.25–2.00 in credits per 1,000 pages, depending on complexity and memory requirements.

Some popular actors charge additional fees on top of platform credits. The Amazon scraper, for example, has its own pricing tier.

SimpleCrawl Pricing

Cost Scenarios

5,000 generic pages/month (blogs, docs, news):

• SimpleCrawl: $29/mo (Starter)
• Apify: ~$5–15/mo (Free tier may cover it)

25,000 pages/month with structured extraction:

• SimpleCrawl: $79/mo (Growth)
• Apify: ~$25–75/mo (varies by actor complexity)

5,000 Amazon product pages/month:

• SimpleCrawl: $29/mo (Starter) — generic extraction, no Amazon-specific features
• Apify: $49/mo (Starter) with Amazon actor — purpose-built, handles pagination and variants

For Amazon specifically, Apify wins. For general web content, SimpleCrawl is more predictable.

100,000 pages/month for RAG pipeline:

• SimpleCrawl: $199/mo (Scale) — native markdown, batch mode
• Apify: ~$100–300/mo — depends on actor, plus you need to handle markdown conversion

Developer Experience

Getting Started

SimpleCrawl:

1. Get API key
2. Make a curl request
3. Get markdown back

Apify:

1. Create account
2. Browse actor marketplace or write custom actor
3. Configure actor inputs (start URLs, selectors, limits)
4. Run the actor
5. Wait for completion
6. Fetch results from dataset

Debugging

Apify provides detailed run logs, screenshots at each step, and a full execution timeline. When an actor fails, you can see exactly where and why.

SimpleCrawl returns error codes and messages in the API response. Less visibility into the internal process, but the feedback loop is faster (synchronous response vs checking logs after a run).

Maintenance

Apify actors need updates when target sites change. If you rely on a third-party actor, you depend on its maintainer. If you built a custom actor, you maintain it yourself.

SimpleCrawl's general-purpose extraction adapts to layout changes automatically. No actor maintenance required.

Hybrid Approach

Many teams use both:

• Apify for site-specific scraping (Amazon products, Google Maps data, social media)
• SimpleCrawl for general web content extraction (blogs, documentation, news articles) feeding into AI pipelines

This gives you the best of both worlds: Apify's deep site-specific capabilities and SimpleCrawl's universal extraction with clean output.

FAQ

Is SimpleCrawl an Apify replacement?

For general web scraping and AI data pipelines, SimpleCrawl can replace Apify with less complexity. For site-specific scraping with pre-built actors (Amazon, LinkedIn, Google Maps), Apify's ecosystem is hard to replace.

Does Apify support markdown output?

Some Apify actors support markdown output (like the Website Content Crawler), but quality varies by actor. Most actors return raw JSON data that you structure yourself. SimpleCrawl's markdown output is a first-class feature with consistent quality.

Which is better for AI agents?

SimpleCrawl. AI agents need fast, synchronous web access that returns clean data. Apify's actor model — run a job, wait for completion, fetch from dataset — adds latency and complexity that does not fit agent workflows.

Can I self-host Apify?

Partially. You can run Apify actors locally using the Apify CLI and SDK. But you lose the platform features — scheduling, monitoring, proxy management, dataset storage. The full platform is cloud-only.

Which has more scraping features?

Apify, by a wide margin. It is a full platform with 2,000+ pre-built scrapers, scheduling, storage, orchestration, and a visual workflow builder. SimpleCrawl deliberately offers fewer features with less complexity. The question is whether you need those features.

How does pricing compare at scale?

At 100,000+ pages/month, SimpleCrawl's Scale plan ($199/mo) is predictable. Apify costs depend heavily on which actors you use and their resource profiles. Some teams find Apify cheaper for simple crawls, others find it more expensive for complex actors. SimpleCrawl eliminates the guesswork.

The Bottom Line

Choose Apify if you need site-specific scrapers, complex workflow orchestration, or a full scraping platform with scheduling and storage. It is the Swiss Army knife of web scraping.

Choose SimpleCrawl if you need clean web data for AI applications, prefer a simple API over a platform, and value predictable pricing. It does one thing — convert URLs to clean data — and does it very well.

For teams building RAG pipelines, lead generation, or content aggregation systems, SimpleCrawl's simplicity and output quality are the better fit. For teams running large-scale price monitoring across specific e-commerce sites, Apify's pre-built actors save significant development time.

See our Best Web Scraping APIs in 2026 guide for the full landscape.