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Finished data or scraping infrastructure

BrowserAct vs Bright Data:
Which Data Extraction Model Fits Your Team?

Looking for a Bright Data alternative? Bright Data provides a powerful proxy network, scraping APIs, and datasets for teams to build on. BrowserAct uses natural-language AI agents to deliver structured data with proxies, anti-bot handling, and scheduling built in. Choose based on whether you want to operate the infrastructure or use the finished data.

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Key differences

Key differences at a glance

Bright Data gives technical teams industry-leading infrastructure to build on. BrowserAct manages that infrastructure behind a natural-language agent and delivers the fields your team asked for. The key difference is what your team wants to own.

CapabilityBrowserActBright Data
Built for

Teams that need data without writing code

Developers and enterprise data engineering teams

Setup

Describe the data in natural language; get started in minutes

Powerful infrastructure with a steeper learning curve

Infrastructure

Proxies, rotation, retries, and scheduling are built in

Choose and operate proxies, IPs, APIs, and delivery pipelines

What you receive

The structured fields you requested, ready to use

Proxies, APIs, and datasets that you assemble into a solution

Anti-bot and CAPTCHA

Common challenges handled automatically in the runtime

Industry-leading anti-bot infrastructure at large scale

Integration and delivery

Zapier, Make, n8n, REST API, webhooks, and thousands of connected apps

API responses and dataset downloads

Best for

Teams that want finished data without managing infrastructure

Teams that need a massive proxy network and custom data pipelines

Based on publicly available documentation from each platform. Please tell us if anything needs updating.

Ready to compare with your own use case?Start free or build the first workflow with us.
Get the data, skip the pipeline

Finished data, not infrastructure parts

Bright Data is a benchmark for proxy and scraping infrastructure when your team is ready to operate it. BrowserAct manages proxies, browser execution, retries, scheduling, and delivery for you, so the interface your team sees is the data rather than the pipeline.

No proxy selection or traffic planning

IP rotation, request pacing, retries, and anti-bot handling are built into the runtime, with no proxy types or traffic quotas to manage.

No code or scraping project

Describe the data you need in natural language. The AI agent builds the extraction workflow in minutes without selectors or pipeline code.

Adapts when pages change

Companion monitoring detects and adapts to most layout changes, while major redesigns trigger an alert instead of silently breaking delivery.

Scales without re-architecting

Cloud capacity, concurrent scheduling, and retries scale with the task, so growing volume does not require a new infrastructure design.

Returns finished fields, not raw responses

Specify the fields you want and receive structured data ready for delivery, without parsing and assembling raw API responses yourself.

Which fits your team?

An honest answer: it depends on who does the work

BrowserAct and Bright Data operate at different layers. The right choice depends on whether your team wants a configurable proxy and scraping foundation or finished structured data with the infrastructure managed for you.

Choose BrowserAct

Own the outcome.
Leave the maintenance behind.

  • You want anyone on your team to extract data
  • You want results from one sentence in minutes
  • You do not want website changes to become maintenance work
  • You need reliable coverage across many websites
  • You want APIs and webhooks without building scraping infrastructure
  • You want simple pricing and a free plan to get started
Choose Bright Data

Own the infrastructure.
Maximize network control.

  • You are a developer or data engineering team
  • You need a massive residential proxy network
  • You require precise geographic or carrier targeting
  • You want prebuilt general-purpose datasets
  • You need raw proxies or APIs for a custom pipeline
  • You have resources to build and maintain that pipeline
In daily use

Three differences your team will feel.

Reliability at scale, the learning curve, and how data reaches your tools determine the real cost of any web scraping platform.

01

Scale, coverage, and reliability

BrowserAct

One agent approach at any scale

The same agent approach works across websites and volumes, with retries, error handling, and companion monitoring built into the runtime.

Bright Data

Unmatched proxy scale

Bright Data advertises more than 400 million proxy IPs across 195 countries and is built for demanding anti-bot targets and very high throughput. Its controls are exposed as infrastructure for your team to configure.

02

Ease of getting started

BrowserAct

Built for the whole team

Describe the required data in natural language. The AI agent understands the page and builds the workflow—no programming, selectors, or DOM knowledge required.

Bright Data

Powerful, with a steeper learning curve

Proxy configuration, API integration, pipeline construction, and ongoing maintenance generally require developer involvement, even when using simplified tools.

03

Getting data into your tools

BrowserAct

No-code to full code

Connect to Google Sheets, Airtable, CRMs, and thousands of apps through Zapier, Make, and n8n. REST APIs, webhooks, and structured JSON can also send data to your warehouse.

Bright Data

API responses and dataset downloads

Bright Data delivers data through APIs or dataset downloads. Your own systems receive, transform, and distribute the result.

Free collaborative setup

Tell us what data you need.

If you do not want to spend time building the first extraction workflow, our team will help build the initial BrowserAct agent.

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FAQ

Frequently asked questions

No. IP rotation, request pacing, retries, and anti-bot handling are built into the runtime, so you do not need to choose proxy types or manage traffic quotas.

Your next scraper starts here.

BrowserAct vs Bright Data: Data, Not Infrastructure