Scraping and automation at scale. Powers the custom data pulls behind our target lists.
In our stackLast reviewed July 12, 2026
Apify is a cloud platform for web scraping and browser automation, built around small serverless programs it calls Actors. Instead of writing a scraper from scratch, you pick one from a public marketplace of thousands, built for specific targets like LinkedIn, Google Maps, or e-commerce sites, and run it through a dashboard, the API, or a CLI. Each Actor returns structured data, not raw HTML, which is the whole point of using one instead of a general-purpose scraping library.
Not every site has a ready-made Actor. The ones that do still need tuning to return clean data, so don't expect every Actor to work out of the box. Pricing runs on a credit-based, usage-metered model instead of a flat per-scrape fee.
The tools we'd run next to Apify, and what each pairing covers.
From the Apify pricing page · verified July 12, 2026
The bill is driven by compute units (1 CU = 1 GB RAM for 1 hour), not a flat seat or contact count, so cost tracks how memory-heavy and how long each Actor run is rather than how many scrapes you do. Rates drop as you move up tiers ($0.20/CU on Free and Starter down to $0.13/CU on Business at $999/mo), so heavy users get cheaper unit economics but only by committing to a bigger base subscription. Proxies, data transfer, and storage are billed separately from CU usage, and unused monthly credits don't roll over, so a plan sized for average months still leaves spikes exposed to overage charges. Add-ons for extra concurrency ($5/run) or RAM ($1/GB) can also creep the bill up quietly if a workload needs more parallel runs than the base plan allows.
Choose Firecrawl when you need clean markdown/text extraction from arbitrary websites for LLM ingestion rather than structured, site-specific data via a marketplace of pre-built scrapers.
Choose PhantomBuster when the job is mainly social/LinkedIn automation (connection requests, profile visits) alongside scraping, with a simpler flat-tier pricing model instead of compute-unit billing.
Choose Browse AI when the buyer is non-technical and wants a point-and-click way to train a scraper on a webpage without touching an SDK or input schema.
1 CU = 1 GB of RAM running for 1 hour. Rates run from $0.20/CU on the Free and Starter plans down to $0.13/CU on the Business plan ($999/mo). A scraper that uses 2 GB RAM and runs for 30 minutes burns 1 CU, so cost depends on how memory-hungry and how long-running your Actors are, not on a flat per-scrape fee.
Access is blocked until the next billing cycle resets the credit. There's no automatic overage on Free; you either wait for reset or upgrade to a paid plan where overage is billed instead of blocked.
No. Apify's pricing page states unused usage credits do not carry over to the next billing cycle, so a quiet month doesn't bank credit for a busy one.
No, they're billed separately from the base platform usage and compute units. Residential/datacenter proxy usage and data storage add to the bill on top of CU charges, which matters for scrapers targeting sites with anti-bot protection that require paid proxies.
Concurrency is capped per plan (25 concurrent runs on Free, 32 on Starter, 128 on Scale, 256 on Business), but you can buy an add-on for $5 per additional simultaneous run if you need more throughput without moving to the next tier.
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