Which is easier to start with if I do not write code?

BrowserAct lets you describe the data you need and have its AI build a tested Bot. Apify lets you run ready-made Actors without building one, while developing a custom Actor offers a separate coding path.

Can I use a ready-made scraper?

Apify offers ready-made Actors through Apify Store. BrowserAct's published approach centers on creating a reusable Bot for the task you describe.

How much do the starting paid plans cost?

BrowserAct Basic is $16 per month when billed monthly and includes 10,000 monthly credits. Apify Starter is $19 per month plus pay-as-you-go usage and includes $19 to spend in Apify Store or on your own Actors.

What can I do on the free plans?

BrowserAct lists 200 credits on signup and two free Agent builds. Apify lists a $5 monthly allowance to spend in Apify Store or on your own Actors.

Can either product connect to my existing workflows?

Both BrowserAct and Apify publish connections involving Make, n8n, Zapier, REST APIs, webhooks, and MCP. Check the specific connection method for the workflow you intend to build.

Which export formats do they offer?

BrowserAct publishes CSV and JSON file exports for Workflow Bots. Apify datasets can be exported as JSON, CSV, Excel, XML, RSS, HTML, or JSONL.

How many jobs can run at once on the starting paid plan?

BrowserAct Basic lists 10 simultaneous tasks. Apify Starter lists 32 concurrent Actor runs. These are each vendor's published limits for its own type of job.

What support comes with the starting paid plan?

Apify lists chat support for Starter. BrowserAct lists community support for its Free plan but does not publish a support level for Basic on its pricing page.

BrowserAct vs Apify

Choose BrowserAct if you want to describe a website extraction task in plain language and turn it into a reusable Bot; choose Apify if you want to run ready-made scrapers or build your own Actors. Both offer cloud execution, APIs, and workflow integrations. The deciding difference is how you want to create and manage the scraper.

Last updated October 24, 2026.

At a glance

BrowserAct compared with Apify, one row per dimension
Dimension	BrowserAct	Apify
Scraper creation	AI builds a tested Bot from a description.	Ready-made Actors or custom Actor development.
Starting paid plan	Basic: $16/month, billed monthly.	Starter: $19/month plus pay-as-you-go usage.
Free plan	200 credits on signup; two free Agent builds.	$5 monthly usage allowance.
Usage model	Credits for Bot builds, runs, and workflow steps.	Platform usage charges; Actor pricing varies.
Paid-plan concurrency	Basic: 10 simultaneous tasks.	Starter: 32 concurrent runs.
Execution	Cloud Bots; local Agent CLI.	Cloud Actors; console, API, CLI, or scheduled runs.
Workflow integrations	Make, n8n, Zapier, REST API, webhooks, and MCP.	Make, n8n, Zapier, REST API, webhooks, and MCP.
Data exports	CSV and JSON file exports.	JSON, CSV, Excel, XML, RSS, HTML, and JSONL.
Support	Free: community; paid-plan level not published.	Free: community; Starter: chat.

Scroll the table sideways to compare each row.

Which should you choose?

Choose BrowserAct if

Teams creating scrapers from natural-language instructions
Users who want to build and rerun a tested Bot
Teams that prefer a published monthly credit allowance

See BrowserAct — 20% CASHBACK

Choose Apify if

Teams looking for ready-made scrapers in Apify Store
Developers building custom Actors
Teams needing Apify datasets and multiple export formats

See Apify — 20% CASHBACK

The verdict

BrowserAct is the better fit for teams that want AI to build and test a reusable scraper from a description of the data they need. Apify is the better fit for teams that want a store of ready-made Actors or the option to develop and publish their own. Compare the cost of your actual workload, not just the starting subscription price: BrowserAct uses credits for Bot activity, while Apify has platform usage charges and Actor-specific pricing.