Extracto vs Browse AI
Honest comparison of Extracto and Browse AI. Developer extraction API with typed JSON versus no-code recorded robots, monitoring and change alerts.
How they differ
Extracto and Browse AI solve different halves of the web data problem. Browse AI is a no-code platform: you record a point-and-click robot in a recorder, it learns the fields you highlighted, and it reruns that recording on a schedule to monitor pages and alert you when data changes. That model is built for analysts and operators who want recurring extraction without writing code. Extracto is a developer API: you send one URL plus a JSON schema, the page runs through a real headless browser, and you get back typed JSON validated against your schema, with any field it cannot find returned as null instead of a guessed value. There are no recorded robots to maintain, no CSS selectors to pin, and no recorder UI. You describe the shape of the data you want and call an endpoint. If your product or pipeline needs structured data inline, on demand, per request, Extracto fits where a scheduled monitoring tool does not, and vice versa.
Feature comparison
| Feature | Extracto | Browse AI | Notes |
|---|---|---|---|
| No-code recorder / point-and-click setup | No | Yes | Browse AI's core strength: a non-developer records a robot in the browser and never touches code. Extracto is API-first and assumes you write a request, so non-technical users are better served by Browse AI here. |
| Scheduled monitoring and change alerts | No (single call per request) | Yes | Browse AI runs robots on a schedule and notifies you when tracked data changes, which is its headline use case. Extracto returns data for the URL you call right now; you schedule and diff in your own code or cron. |
| Prebuilt robots for popular sites | No | Yes (250+ prebuilt) | Browse AI maintains a library of ready-made robots for common sites, a real head start. Extracto has no per-site templates; you supply a schema, which is more flexible but requires you to define fields yourself. |
| Typed JSON validated against your schema | Yes | Partial | Extracto validates output against the JSON schema you send and types every field. Browse AI returns the columns you captured but does not enforce a caller-supplied schema contract, so downstream typing is on you. |
| Returns null for missing fields, never guesses | Yes | No explicit guarantee | Extracto returns null when a field is absent rather than inventing a plausible value, which matters for pipelines that branch on presence. Browse AI's output depends on what the robot captured during that run. |
| Maintenance when page layout changes | Schema-based, no recorded selectors to repin | Self-healing, occasional retrain | Browse AI advertises self-healing robots that adapt to many UI changes, though their docs note some robots still need retraining or cookie updates. Extracto has no recorded robot to break, but a drastic redesign can still change what is extractable. |
| Managed anti-bot rendering and proxies | Yes (included) | Yes (included) | Both run real rendering with managed proxy infrastructure for protected sites such as Cloudflare and DataDome. This is roughly at parity; neither makes you bring your own proxies for standard public pages. |
| Bulk / many-URL runs | One URL per call (parallelize yourself) | Yes (bulk run up to 50,000 tasks) | Browse AI bulk-runs a robot across large URL lists natively. Extracto is single-URL per call by design, so high-volume batches mean fanning out requests in your own code or queue. |
| REST API access | Yes (API is the product) | Yes | Both expose a REST API. For Browse AI the API drives robots you first built in the recorder; for Extracto the API is the entire surface, so there is no UI step before your first programmatic call. |
| No-code integrations (Zapier, Sheets, Airtable) | Via your own glue code | Yes (Zapier 7,000+ apps) | Browse AI ships native Zapier, Google Sheets and Airtable connectors so non-developers wire workflows without code. Extracto expects you to call the API from your stack, which is more work but more controllable. |
Pricing
Pricing here is described qualitatively because plans shift; confirm current figures on each vendor's page before deciding. As of 2026, Browse AI offers a free tier plus paid plans that scale by credits per year (a Personal tier in the low tens of dollars per month, a Professional tier near triple digits, and a Team tier higher still), with an annual prepay discount and a managed Premium option. Both products meter in credits, and a credit is not the same as a page: Browse AI charges from one to several credits per task depending on rows extracted, screenshots and whether the site is a Premium target, so a single robot run can consume multiple credits. Extracto counts credits per request at one flat rate: a scrape is 1 credit and an AI extraction is 5 credits, while anti-bot, residential proxies, and JavaScript rendering are included at the same price with no multiplier for protected pages. You only pay when a request works, since failed requests and cache hits are free. Compare on credits-per-real-job for your actual pages, not on the headline price.
Pricing for Browse AI reflects their public plans at the time of writing. Check their site for current numbers.
Migrating to Extracto
- 1
Inventory your robots and the fields they capture
List every Browse AI robot you depend on and write down the columns each one returns. This becomes your field map. For each robot, note the target URL pattern and which fields are required versus optional, because that distinction maps directly to your Extracto schema and to which fields you expect as null.
- 2
Translate each robot's columns into a JSON schema
For every robot, write a JSON schema describing the exact shape you want back: field names, types, and which are nullable. This replaces the recorded point-and-click capture. You are no longer pinning selectors, you are declaring the data contract, so spend the time here making types precise rather than reproducing the recorder UI.
- 3
Replace scheduled robot runs with your own scheduler
Browse AI ran your robots on its schedule and alerted on changes. In Extracto, call the API from a cron job, queue or workflow on your side, store each result, and diff successive responses to recreate change detection. This is more setup but puts the alerting logic and thresholds fully under your control.
- 4
Swap no-code connectors for direct API calls
Anywhere a Browse AI Zapier or Google Sheets connector delivered data, call Extracto from that same stack instead: a small function that requests the URL with your schema and writes typed JSON to your destination. Validate that nulls are handled by downstream branches before you decommission the original robot.
When to choose which
Choose Browse AI when the job is recurring monitoring built by people who do not write code. If you need to watch competitor pricing, job boards or news feeds, get notified the moment something changes, and have analysts set this up themselves through a recorder, Browse AI is the better tool. It also wins when you want prebuilt robots for popular sites, native Zapier and Google Sheets connectors, or large bulk runs across tens of thousands of URLs without writing fan-out code. Choose Extracto when you are a developer who needs structured data inline in a product or pipeline: one URL plus a JSON schema returns typed, validated JSON on demand, with missing fields returned as null instead of a guess, and nothing to re-train when a layout shifts because there is no recorded robot. If your extraction is event-driven rather than scheduled, or you want the data contract enforced in code, Extracto fits where a monitoring platform does not. Many teams run both: Browse AI for dashboards and alerts, Extracto for the API calls inside their app.