Apify

What it is

Apify is a cloud scraping and browser automation platform built around Actors: modular programs that target specific websites. Instead of charging per seat, it bills by compute units or per-result output. The Apify Store houses more than 70,000 ready-made Actors for targets like Google Maps, LinkedIn, and Amazon, alongside connectors for Model Context Protocol (MCP) environments.

Best for

It fits technical teams running scheduled, structured data pipelines rather than ad-hoc site scrapes. If you regularly sync leads from Google Maps directly into a CRM, monitor competitor pricing on Amazon and eBay, or pipe cleaned site updates into a RAG vector database, Apify is built for that ongoing operational work.

Key strengths

• Transparent unit economics: Scrapers are priced per 1,000 results. On the Free plan, rates run from $0.40 per 1,000 tweets up to $10.00 per 1,000 LinkedIn profiles, with rates dropping across paid tiers ($19, $199, and $999 per month).
• Usable free tier: You get $5 in monthly platform credits without putting a credit card on file. That covers roughly 1,250 Google Maps places or 500 LinkedIn records every month before you owe anything.
• Developer and AI integrations: Prebuilt Actors link directly to developer workflows, including one-click OAuth connections for MCP clients like Claude Desktop, Cursor, and VS Code.
• Broad out-of-the-box coverage: You do not have to write scrapers from scratch for hard targets. The store includes maintained scrapers for TikTok, Instagram, Reddit, YouTube transcripts, and Zillow.

Watch-outs

• Expensive proxy bandwidth: Apify charges $8 per gigabyte for residential proxies. If your project burns through heavy bandwidth, Bright Data cuts that proxy rate to $4 per gigabyte.
• Layered compute fees: The per-result price tag is not your total cost. Runs incur separate Apify compute charges (typically cents per run) along with individual Actor fees that can push up your initial budget estimates.
• Outmatched for simple AI web crawling: If you only need a zero-configuration scrape of an entire domain to dump Markdown into an LLM, dedicated tools like Firecrawl get you there with less setup.