Goro vs Apify: managed actors or one connection?

Apify is infrastructure for running scrapers: a store of programs, a cloud to run them on, and a meter that follows the resources each run consumes. Goro is a data layer for an agent: a short list of tools that already work, each with one price and no setup. Both can hand an AI agent structured data over MCP, and that is where the similarity stops.

What Apify is

Apify is a serverless cloud for web scraping and automation, plus the marketplace those programs live in. The store advertises 57,000+ ready-to-run tools called actors, published by Apify and by independent developers. Each actor sets its own pricing model: pay per result, pay per event, pay per usage, or a monthly rental. Their own docs tell you to always check an actor's pricing section to see what is included, because most pay per event actors bundle platform usage and some do not.

Underneath every actor sits the platform meter. Usage is billed in compute units, where one CU is 1 GB of RAM running for one hour, at $0.2 per CU on Free and Starter, $0.16 on Scale and $0.13 on Business. Proxies are billed separately, residential traffic at $8 per GB falling to $7 on Business, and your plan sets the memory and concurrency ceiling you run inside. The control is the product: you choose the actor, the memory, the proxy and the schedule, and the rates improve as you grow.

What Goro is

Goro is one connection that gives an agent 77 tools across nine categories, from social platforms and ecommerce to people, search, maps and media generation. There is no account at the source and no API key to collect, because the credentials are ours. Signing up and browsing the catalog are free, and a plan, Build or Scale, fills one balance with included credit every month plus optional top-ups. Every call carries a price the agent can read before it runs, and a call that fails is not charged. There is no memory setting and no run to babysit, because there is nothing for you to operate.

So the real question is not which catalog is bigger. It is who does the operating. Apify hands you the console, and we hand your agent the answer.

Take an agent watching creators for a month: 500 Instagram profile lookups, and 200 TikTok profile pulls of 30 posts each. On Goro that is 700 calls and $8.85, debited as the calls run. On Apify it is two actors you choose, configure and operate, billed at whatever they charge for 500 profiles and 6,000 posts, against a plan that starts at $0 with $5 of usage included and steps to $29 a month.

We are not going to put a dollar figure in Apify's column, because there is not one figure to put. Prices are set per actor by the developer who published it, two actors that scrape the same site can charge very differently, and a price can be raised with 14 days' notice. What is knowable up front is the platform around them. The rest is work: pick the actor, read its pricing section, run it, then check what the run consumed. Do that once and you have your number, and at volume it may well beat ours.

Yes, and for a data team it is often the right split rather than a compromise. Give the agent both MCP connections: send the everyday pulls here, the ones it makes hundreds of times a month at a price it can read in advance, and keep Apify for the long tail. A site nobody else covers, a scraper your team wrote, a run that needs a schedule and a dataset you keep.