Apify

Apify operates the largest managed scraping platform in the web-data category, positioning itself as "the largest and most trusted marketplace of tools for AI." The platform serves 74,000 customers worldwide and maintains a marketplace of over 54,000 ready-made Actors (serverless cloud programs) that handle scraping, extraction, and automation tasks. This breadth of the ecosystem means developers can find pre-built solutions for everything from Google Maps and LinkedIn profile extraction to general website crawling, or they can build and publish custom Actors for reuse. No other platform in this category comes close to the size and maturity of the Apify ecosystem.

The core unit of work on Apify is the Actor, a concept that sets it apart from simple API-based scrapers. An Actor is a JavaScript or Python program that runs on Apify's infrastructure, accepts JSON input, executes for as long as needed, and stores results in a dataset or key-value store. This approach suits teams that want to define complex, stateful scraping workflows or automate multi-step data extraction tasks, rather than just fetch a single URL. The marketplace includes examples like the Google Maps Scraper (which extracts data from thousands of locations with reviews, images, and contact info), TikTok Scraper (for video metadata and engagement metrics), Instagram Scraper (posts, reels, profiles, and comments), Website Content Crawler (for crawling sites and extracting text to feed AI models), and LinkedIn Profile Scraper (for professional information and work history). Beyond social media, the marketplace covers lead generation, SEO tools, e-commerce data, and hospitality. A team that needs to extract email addresses from websites, monitor competitor pricing, or build a custom lead pipeline can start with the marketplace, fork an existing Actor to modify its behavior, or write one from scratch in Node.js or Python.

Pricing on Apify follows a flexible usage model centered on compute units and resource consumption. One compute unit equals one gigabyte of RAM running for one hour. The platform charges $0.20 per CU on the free and Starter plans, dropping to $0.16 per CU at the Scale tier ($199 per month) and $0.13 per CU on the Business plan ($999 per month). This tiered pricing gives established teams a material discount on volume. Residential proxy access costs $8 per gigabyte on entry plans, declining to $7 per gigabyte for Business subscribers. Datacenter proxy IPs start free on each tier and then cost extra. SERP proxy queries range from $2.50 per 1,000 (Free/Starter) down to $1.70 (Business). The free tier provides $5 in monthly credits with no credit card required and allows up to 25 concurrent Actor runs and 16 gigabytes of RAM, which constrains large-scale operations but lets developers explore the platform at zero cost. Unlike many freemium platforms, the free tier is not crippled: it includes access to most platform features, datasets, key-value stores, and the full marketplace.

What strengthens Apify's A- grade is the transparency and flexibility of its pricing structure. Unlike credit-based systems with opaque per-request costs (a single request might cost anywhere from 1 to 25 credits depending on options), Apify's compute-unit model gives developers a predictable way to estimate spend. If you know an Actor takes 0.5 compute units and you want to run it 100 times, you can calculate the cost directly. The platform also actively discounts teams that fit specific profiles: startups receive a 30 percent discount on the Scale plan, students get half off paid plans, and nonprofits receive substantial discounts. This accessibility positions Apify as genuinely welcoming to teams early in their growth or serving public missions. Annual billing adds a 10 percent discount across all tiers, another lever for cost-conscious teams.

Reliability and ecosystem depth are equally compelling. Apify was founded in 2015 by Jan Čurn and Jakub Balada through Y Combinator, giving it a decade of operational maturity. The scale it serves (74,000 customers, thousands of Actors running daily, 54,940 ready-made options in the marketplace) demonstrates that the infrastructure absorbs real production workloads. Developers can build Actors in JavaScript or Python, and the platform provides SDKs in both languages plus REST APIs. The community contributes actively: rising stars, hidden gems, and category-sorted browsing help teams find solutions without drowning in options. The Apify Store also tags Actors by audience (enterprise, startup, university), making it easy to find vetted solutions for your organizational context.

The learning and operational model on Apify requires more investment than simpler platforms. Building an Actor is coding: you write JavaScript or Python, define inputs and outputs, handle retries and error cases, and test before deploying. This is powerful for teams maintaining bespoke workflows or large-scale, complex extractions, but it is also different from send-a-URL, get-data-back simplicity. Teams migrating from ScraperAPI or Cheerio-based scripts will find they need to rethink their approach. However, this upfront cost buys you tremendous flexibility. Want to log into a website, navigate through a multi-step form, extract data, and store it in your own database? That is an Actor. Want to run that Actor every day, schedule it conditionally, or trigger it from an external event? Apify's scheduler and webhooks support that. Want to iterate on the extraction logic without losing historical data? Datasets and version control handle that. The complexity is real, but it is complexity that pays back if you are serious about scraping at scale.

Another consideration: Apify's residential proxy rates are at market rate or slightly higher than some pure-proxy providers, but the value proposition is different. When you run an Actor, proxy rotation is integrated and automatic. You do not manage IP pools or whitelisting; Apify handles IP cycling for you. This integration reduces the operational burden, especially for teams running dozens of concurrent Actors.

Apify earns an A- grade for ecosystem breadth, transparent pricing, genuine discounts for early-stage and nonprofit teams, decade-plus operational maturity, and the ability to scale from zero to millions of extractions. The only reason it is not an A is that the Actor development model has a steeper learning curve than simpler API-based alternatives. Teams should confirm that the flexibility and power outweigh the extra complexity for their use case. For teams that are already writing code to handle scraping (in Cheerio, Puppeteer, or custom scripts), Apify is an upgrade. For teams expecting to use a simple API, Firecrawl or Crawlbase may be a better starting point.

Apify is the clear choice for teams building scalable, reusable scraping workflows or seeking a full marketplace of pre-built extractors. Its transparent compute-unit pricing, strong discounts for startups and nonprofits, proven operational maturity, and unmatched ecosystem depth make it a production-ready platform that grows with your needs. Start with the free $5 monthly credit to explore the marketplace and understand whether building Actors aligns with your team's skills and architecture. If you are a startup or nonprofit, do not forget to claim the 30 to 50 percent discount when you graduate to a paid plan.