Comparison

Riveter vs Apify: a marketplace of scrapers, or one system that adapts to any site

Abby Grills· CEO, RiveterPublished Aug 19, 2026 · Updated Sep 8, 2026

Competitor product details checked against Apify’s own site, Sep 8, 2026 — verify any of it directly.

Apify runs the largest marketplace of prebuilt scrapers in the category, with tens of thousands of ready-to-run actors covering popular targets like maps and major social platforms, backed by a strong developer community and a free academy. If a prebuilt actor matches your exact target, you can be up and running fast.

Riveter takes a different approach. Instead of a store of scrapers you pick from and maintain, Riveter adapts to any data problem from a plain-language prompt. Its agents search the live web, navigate to the data, and extract it, and the proxy and unblocking infrastructure is managed for you. There is no actor to choose, configure, or repair. When a target site changes, the agents adapt instead of breaking, so you get consistent answers every time you run the job.

The reason this matters is coverage and durability. A marketplace is only as good as whether someone has already built and maintained an actor for your specific target, and for niche or fast-changing sites that is often not the case. Riveter does not depend on a prebuilt scraper existing, and it does not depend on that scraper still working after the site updates.

TL;DR

Choose Apify when a prebuilt actor already covers your target and you have developers to run and maintain it. Choose Riveter when you want a system that handles any site from a prompt, manages the infrastructure, self-heals when sites change, and can enrich and refresh the data on a schedule.

What matters	Riveter	Apify
Fill rate / coverage	Agents find a value for every row	Depends on the actor you pick; blanks where none fits
Freshness	Live and re-checkable on any schedule	Depends on the actor and your scheduling
Completeness	Returns the complete set	Depends on the chosen actor’s scope
Time to working solution	Minutes, from a prompt, no actor to find	Fast if an actor exists; otherwise you build one
Holds up when sites change	Agents self-heal automatically	Actors break on site changes; you or the author fix them
Proxies and unblocking	Managed for you, built in	Configurable, part of running actors
Enrichment and list-building	Build lists, find new matches, enrich rows	Not the core model; you run scrapers and post-process
Multi-step workflows	Chains dependent steps end to end	Stitch actors together yourself
Who it is for	GTM, rev-ops, data teams, and developers	Developers
Total cost of ownership	Priced result	Compute units plus actor costs plus maintenance time

What is Apify?

Apify is a platform built around the Apify Store, a marketplace of tens of thousands of prebuilt actors that scrape or automate specific sites, plus the Crawlee open-source library, a free academy, and compute-unit-based pricing across free and paid tiers. It is genuinely strong on breadth of prebuilt scrapers, developer community, and flexibility for engineers who want to build and publish their own actors. It is a developer platform: the value comes from picking the right actor, or building one, and running it.

What to look for in a web-data tool

The right questions are the same ones that separate a system from a toolkit. Does it return a value for every row (fill rate), is the data live and re-checked (freshness), and do you get the complete set (completeness). Then: how fast can you get to a working result, does it depend on a prebuilt scraper existing for your target, does it keep working when the site changes, does it manage the proxy and unblocking layer for you, can it enrich and grow a list over time, and can it run a multi-step workflow end to end. Compute cost per run comes last, and should be read as fully loaded cost including the time to find, configure, and maintain actors.

Head to head

The core contrast is dependency. Apify’s model assumes an actor exists for your target, or that you will build one. That is powerful for common sites and a real burden for niche ones. Riveter does not need a prebuilt actor; its agents adapt to the site in front of them from your description of the goal.

Maintenance is the second contrast. Actors break when sites change, and someone has to notice and fix them, whether that is you or the actor’s author. Riveter’s agents self-heal, which is what makes it dependable for recurring jobs and for repeating the same task many times without drift.

Range is the third. Apify is a scraper marketplace. Riveter is a system you can point at building a list from a prompt, finding and adding new matches to that list over time, enriching each row with custom attributes, or running a fast extraction from a complicated site with dropdowns and multi-step navigation that would otherwise need browser automation. It is particularly good at end-to-end workflows where step two depends on step one, and at returning consistent answers across many repeated runs.

Where Apify wins

Apify has genuine strengths worth naming. For a common, well-supported target, a ready-made actor can get you collecting data in minutes without any custom work. Its developer community, academy, and open-source library are deep and active. And for engineers who want to build, customize, and publish their own scrapers on a mature platform, Apify offers flexibility and control that a managed system does not. If your targets are well covered by existing actors and you have the developers to run them, Apify is a strong fit.

Where Riveter wins

Riveter wins when no actor fits, when maintenance is the real cost, or when the job is broader than scraping one site. When no prebuilt actor matches, a niche directory or a firm’s own site, Riveter adapts from a prompt instead of sending you to build one. When a site changes, Riveter keeps working while an actor would break. When you need the complete list rather than one actor’s partial output, or a workflow where step two depends on step one, Riveter runs it end to end. And when the goal is to build and enrich a list and keep it current, Riveter does that on a schedule, with consistent answers each run, and no code.

When to choose Apify, and when to choose Riveter

Choose Apify if a prebuilt actor already covers your target, you have developers to run and maintain actors, or you want to build custom scrapers on a mature platform. Choose Riveter if no actor fits your problem, you want to avoid actor-hunting and maintenance, you need completeness, enrichment, and freshness end to end, you want the infrastructure managed for you, or the buyer is not a developer.

FAQ

Is Riveter a good Apify alternative?

Yes. Riveter is a strong Apify alternative for teams that want a system that adapts to any site from a prompt rather than a marketplace of scrapers to pick and maintain.

Do I have to choose an actor with Riveter?

No. You describe the data you need in plain language and Riveter’s agents handle the rest, including the sites that no prebuilt actor covers.

How is Riveter different from Apify?

Apify gives you a marketplace of prebuilt scrapers you run and maintain. Riveter is a complete system that finds, extracts, enriches, and refreshes data for you, manages the infrastructure, and self-heals when sites change.

Does Riveter break when a website changes, like a scraper does?

No. Riveter’s agents follow the intent of the task rather than a fixed selector, so they adapt when a site changes and keep returning consistent answers, which is what makes recurring and repeated jobs reliable.

Can Riveter replace Apify?

For getting data, enriching it, and running recurring workflows without maintaining scrapers, yes. For running a marketplace of custom-built actors, they serve different needs.

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