Start scraping Google AI Mode data in seconds

To scrape Google AI Mode, send a URL request to our API to receive results in HTML or JSON format.

For an output example, refer to the right side, and for input code samples, check our documentation.

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Web Scraper API pricing

Collect data from Google AI Mode seamlessly

Regular
Enterprise

Get country-specific data

Pay only for successful results

Utilize scraping know-how

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Free trial

No credit card required

0

Amazon: $0.50/1K results

Google: $1.00/1K results

Other: $1.15/1K results

 Successful results without JS rendering

$1.35 / 1K results

 Successful results with JS

10 requests / s

 Rate limit

Premium proxies

AI-powered web scraping

Up to 2,000 results

Micro

 

49

Amazon: $0.50/1K results

Google: $1.00/1K results

Other: $1.15/1K results

 Successful results without JS rendering

$1.35 / 1K results

 Successful results with JS

From $20 to $249

 Available top-up
50 requests / s  Rate limit

Premium proxies

AI-powered web scraping

Up to 98,000 results

Starter

 

99

Amazon: $0.45/1K results

Google: $0.90/1K results

Other: $1.10/1K results

 Successful results without JS rendering

$1.30 / 1K results

 Successful results with JS

From $20 to $499

 Available top-up
50 requests / s  Rate limit

Premium proxies

AI-powered web scraping

Up to 220,000 results

Advanced

 

249

Amazon: $0.40/1K results

Google: $0.80/1K results

Other: $0.95/1K results

 Successful results without JS rendering

$1.25 / 1K results

 Successful results with JS

From $20 to $499

 Available top-up
50 requests / s  Rate limit

Premium proxies

AI-powered web scraping

Up to 622,500 results

10% off

Yearly plans discount

For all our plans by paying yearly. Contact sales team to learn more.

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How to leverage the Google AI Mode for your needs

Monitor brand presence

Track and analyze how brands appear in Google AI Mode search results to optimize brand visibility.

Optimize content for AI

Improve content to align with strategies that work well in the Google AI Mode search interface.

Build training datasets

Collect diverse, real-world Google AI Mode responses to build robust and high-quality datasets for training or fine-tuning the model.

Get Google AI Mode data at scale

Why choose Oxylabs Web Scraper API?

Everything you need for powerful, reliable web scraping – packed into one solution

AI-driven fingerprinting

Use unique HTTP headers, JavaScript, and browser fingerprints to access and render dynamic content reliably.

Built-in headless browser

No complex browser setup or external tools – render JavaScript-heavy websites with a single line of code.

IP pool management

Bypass blocks and CAPTCHAs effortlessly with our ML-powered rotating proxy pool – built to adapt in real time, no extra work on your end.

Smart anti-bot protection

Access dynamic content using adaptive headers and browser fingerprints.

Custom parser

Create your own parsing logic, save and reuse it, and monitor its performance and usage statistics.

Bulk scraping

Submit up to 5,000 prompts or URLs simultaneously to quickly and efficiently extract large amounts of data.

Scheduler

Automate recurring scraping tasks with custom schedules, receiving data to your preferred cloud storage.

Tutorials & guides

Get started quickly and smoothly with our detailed documentation and step-by-step guides.

24/7 support

Get professional assistance whenever you need it – our support team is available around the clock to help with any issues or questions.

A word from our customers

At our company, we understand that technical challenges can be complex, which is why we're committed to delivering high-quality products and providing help from an experienced team that is always ready to support you whenever you need assistance.

Frequently asked questions

How to scrape Google AI Mode with Web Scraper API?

To scrape Google AI Mode using the Google AI Mode scraper API, make sure to include your api key and use the google_ai_mode source to submit prompts and retrieve conversational responses. The API returns both the full response text and structured metadata in either HTML or JSON format. Integration is typically done via the synchronous Realtime method, with Proxy Endpoint and asynchronous Push-Pull options also available. For input code samples and more information, visit Oxylabs' documentation.