Browse AI vs Apify (2026): Managed No-Code Product vs Actor Marketplace + Compute

The structural difference

Browse AI is a managed no-code product. The product is shaped around 'record once, run forever' — you click through the scrape flow, Browse AI infers the selectors and builds the robot, schedules it, ships AI change-detection that adapts when target layouts update, and delivers results to your downstream tools natively (Google Sheets, Airtable, Zapier, Make, webhooks, S3, REST API). 250+ pre-built robots cover popular targets (Amazon, Indeed, Airbnb, LinkedIn, Maps, Zillow, Etsy, eBay, news sites) with zero recording required. Residential proxies are bundled at every tier. Pricing is flat-fee monthly — Personal $19/mo annual, Professional $69/mo annual, Premium from $500/mo. The product earns its premium by removing engineering work entirely.

Apify is a serverless compute platform plus an actor marketplace. Actors are scraping programs — pre-built or custom — that run in Apify's infrastructure. The marketplace has 1,500+ pre-built actors (the largest catalog in the category), covering most popular targets and many niche ones. Custom actors are written in JavaScript / TypeScript using the Apify SDK (Cheerio, Puppeteer, Playwright underneath). Pricing is pay-per-compute: actor runs consume compute units, residential proxy bandwidth, and storage. Free tier gives $5/mo credit (enough for low-volume experimentation), Starter is $49/mo, Team $499/mo. The product earns its premium by combining marketplace breadth with compute flexibility — you pay for what you run.

Pick Browse AI when the person running scrapes is non-technical and your motion is recurring monitoring (competitor pricing, job postings, marketplace listings, vertical directories). Pick Apify when you have JS skills (or can hire them), need marketplace breadth beyond Browse AI's 250+ catalog, run irregular / one-off scraping where per-compute economics beat flat-fee, or want to write custom actors with full programming-language flexibility. Teams that get this wrong typically run Browse AI when they actually have an engineer who'd be more productive in Apify, or run Apify when the operator is a marketer who burns through onboarding hours trying to configure actors that Browse AI would have visually recorded in 30 minutes.

Pricing + capability comparison

TCO at three volume profiles (monthly)

Browse AI is flat-fee monthly with annual discount of ~20%. Apify is pay-per-compute — your bill scales with actor compute units, proxy bandwidth, and storage. At very low volume (under 5K pages/mo) Apify's free tier wins outright. At low-to-mid recurring volume (5K-100K pages/mo) Browse AI usually wins on operator time + predictability. Above 1M pages/mo neither is structurally cheapest — that's Bright Data territory. Confirm current pricing on each vendor site.

Where Browse AI wins

• The scraping operator is a marketer, RevOps lead, or analyst Browse AI's wedge is non-technical operators. Visual record-and-replay, 250+ pre-built robots, native delivery to Google Sheets / Airtable / Zapier — there's no engineering ticket between business need and live data. Apify's actor marketplace helps, but custom configuration requires reading actor docs and sometimes editing JSON input schemas. For a marketer or analyst, Browse AI's product is genuinely shaped for them; Apify is shaped for someone with a developer mental model.
• AI change-detection over actor maintenance When target sites update layout, Browse AI's AI change-detection adapts the robot automatically. Apify actors break and require maintenance — for marketplace actors, you wait for the author to ship a fix (community-driven, variable cadence); for custom actors, you fix it yourself. Browse AI typically saves 2-5 hours/month of scraper maintenance per robot at any meaningful volume.
• Native delivery to operator-stack tools Browse AI ships native integrations to Google Sheets, Airtable, Zapier, Make, Pabbly, S3 — the tools marketing and RevOps already use. Apify has webhooks and Zapier integration but Sheets/Airtable delivery typically requires a Zap glue layer. When the downstream destination is a Sheet the marketing team tracks competitor pricing in, Browse AI's native push beats the Apify webhook → Zapier → Sheets workflow on simplicity and reliability.
• Predictable monthly burn beats pay-per-compute Browse AI is flat-fee monthly. You know what you'll pay before you scrape. Apify's pay-per-compute can swing 3-5x month-over-month based on volume spikes, target hardness, and proxy bandwidth consumption. For finance teams that need procurement-grade budget predictability — especially when scraping is run by a marketing team that's not budget-trained — the flat-fee shape wins.
• Recurring monitoring with diff alerts Browse AI's product is shaped around 'tell me when something changed' — schedule the robot, get alerts on field-level changes. Apify can do this but it's typically a multi-step build (actor scrapes → store dataset → run diff in custom code → fire webhook). For competitor price tracking, job posting monitoring, listing alerts, the built-in diff functionality is real value.
• You need workflows (chained robots) without writing code Browse AI Professional unlocks workflows — chain robots together for multi-step extractions (listing-page → detail-pages). No code required, just point-and-click chain configuration. Apify can do this via custom orchestrator actors but it requires writing JS or stitching multiple actor runs via API. For non-technical operators who need multi-step flows, the no-code workflow builder is structural.

Where Apify wins

• Marketplace catalog breadth (1,500+ vs 250+) Apify's marketplace has 1,500+ pre-built actors — the largest catalog in the category. Browse AI ships 250+ pre-built robots. If your target is niche (vertical industry directory, regional marketplace, specialty platform), Apify is more likely to have something off-the-shelf. The breadth advantage is real, though many of the long-tail actors have varying quality (community-built) — read reviews and run trials.
• JS-aware custom actors (full programming flexibility) Apify lets you write custom actors in JavaScript / TypeScript with full access to Cheerio, Puppeteer, and Playwright. Complex interaction flows, conditional logic, custom parsing, integration with external APIs — all expressible in code. Browse AI's visual builder is constrained to record-and-replay + simple workflows; complex custom logic hits a ceiling. For semi-technical operators or small engineering teams, the programming flexibility unlocks scraping motions Browse AI can't handle.
• Pay-per-compute economics on irregular volume Apify's pricing scales with usage — if you run a one-off catalog ingestion for 100K pages once and then nothing for two months, you pay for that compute and nothing else. Browse AI's flat-fee tiers reward steady-state recurring use; sporadic burst usage means you're paying for headroom you don't use. For research projects, ad-hoc data pulls, one-time catalog ingestion, Apify's compute model is structurally cheaper.
• Apify free tier covers very low-volume use cases $5/mo platform credit on the free tier is enough for genuine low-volume work — a few hundred pages/mo, occasional actor runs, experimentation. Browse AI's 50 credits/mo is more limited (50 page extractions). For hobbyists, indie devs experimenting, or solo founders validating an idea before paying, Apify's free tier goes further.
• You want to build + sell your own actors Apify's marketplace is a real revenue stream — you can build custom actors, list them on the marketplace, and earn from other users running them. Browse AI doesn't have a marketplace economy. For developers who want to monetize scraping expertise, Apify is the only platform in this comparison that offers it.
• Storage + dataset management for scraped data Apify ships built-in dataset storage with versioning, queryable via API, and accessible to downstream actors. Datasets persist across runs and can be transformed by chained actors. Browse AI stores data per-run and pushes it downstream; there's no persistent queryable dataset layer. For engineering workflows where scraped data needs to be queried, transformed, or referenced across multiple jobs, Apify's storage model is more powerful.

Decision framework: 5 questions

1. 1. Is the scraping operator technical or non-technical? Marketer, RevOps lead, analyst, founder without JS skills → Browse AI is the structural answer. Semi-technical operator, growth engineer, small dev team → Apify earns its premium via marketplace breadth and JS flexibility. The single biggest factor — match the tool to who's actually running the scrapes.
2. 2. Is your motion recurring monitoring or ad-hoc? Recurring (competitor pricing weekly, job postings daily, listings hourly) → Browse AI's flat-fee + diff alerts + AI change-detection is the right shape. Ad-hoc / one-off / irregular (research project, one-time catalog ingestion, sporadic data pulls) → Apify's pay-per-compute beats Browse AI's flat-fee headroom you're not using.
3. 3. Is your target in either pre-built catalog? Browse AI's 250+ robots cover the popular mainstream targets (Amazon, Indeed, Airbnb, LinkedIn, Maps, Zillow, Etsy, eBay, news). Apify's 1,500+ actor marketplace covers a broader long tail (niche directories, regional marketplaces, specialty platforms). Check both catalogs for your specific targets before deciding. If both have it, prefer Browse AI for non-technical ops, Apify for technical.
4. 4. Where does the data need to land? Google Sheets, Airtable, Zapier-connected tools, Slack alerts → Browse AI's native delivery is the structural shape. Custom Python pipeline, internal dashboard fed by API, persistent queryable dataset → Apify's REST API + storage layer fits cleaner. Match the destination to the integration depth.
5. 5. What does your monthly budget tolerate? Under $50/mo and need predictability → Browse AI Personal at $19/mo annual covers most low-volume monitoring; Apify Starter is $49/mo but adds compute volatility. $50-$200/mo with steady recurring use → Browse AI Professional ($69/mo annual) typically wins on TCO after operator time. $200-$1K/mo with irregular volume → Apify's pay-per-compute usually beats Browse AI Premium's $500/mo floor.

When neither fits

Both vendors are GTM-data-shaped. If your scraping use case is very high volume (1M+ pages/mo) or targets hardened anti-bot (Cloudflare Enterprise, DataDome enterprise tier), Bright Data is the right answer — code-first IDE, Web Unlocker for hardened bypass, per-GB pricing that wins at scale. If your motion is purely SERP scraping (Google search results), dedicated SERP APIs like SerpAPI, Zenserp, or DataForSEO can be cheaper than running through either Browse AI or Apify.

If you need a Windows desktop scraping app (rare but real for compliance-locked-down environments), Octoparse fits where neither Browse AI nor Apify does. If your scraping is dominantly LinkedIn-focused (Sales Navigator exports, profile enrichment, connection automation), Phantombuster's LinkedIn phantoms are more depth-first than either Browse AI's LinkedIn robot or Apify's LinkedIn actors.

Common migration patterns

• Browse AI → Apify when JS skills join the team Common pattern: a 1-3 person team runs Browse AI through year one (no engineer, visual record-and-replay covers the workflows). When a growth engineer or developer joins, ad-hoc scraping and custom-actor work migrates to Apify for the JS flexibility and marketplace breadth. Browse AI stays in place for marketing-owned recurring monitoring. The two products coexist on different operator layers.
• Apify → Browse AI for the marketing-owned layer Less common but real: engineering-led teams running Apify discover their marketing team needs recurring monitoring (competitor pricing, job postings) and the engineering ticket queue keeps deprioritizing it. Spinning up Browse AI Personal ($19/mo) or Professional ($69/mo) for marketing offloads the workflow without burning engineering cycles. Common at 20-50 person teams where the engineering function gets overrun by product priorities.
• Apify free tier → Apify Starter when usage stabilizes Many teams start on Apify's free tier for experimentation ($5/mo credit), validate fit on real targets, and upgrade to Starter ($49/mo + $49 credit) when monthly usage stabilizes above ~$10-15/mo in compute. The free tier is genuinely useful for validation in a way Browse AI's 50-credit limit is more constrained.