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Google Patents Machine Learning

Searches Google Patents for 'machine learning' and returns up to 20 patents with number, title, abstract, inventors, assignee, key dates and URL. Handy for AI patent landscaping, tracking what competitors file, freedom-to-operate research and trend analysis. Uses a cache so repeat runs surface only new results.

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Google Patents Scraper
Google Patents Scraperconfidential_gnat/google-patents-scraper
Publication number
Title
Abstract
Inventors
+9 fields
Text
Number
Boolean
List
Object

Input

Search keywords:machine learning
Start URLs
Max items per search:20
Patent page language:en
Cache project name:google-patents-machine-learning
Proxy configuration:{1 field}

Output fields

Publication number
Title
Abstract
Inventors
Assignee
Filing date
Publication date
Application number
Citations
Pdf url
Thumbnail
Figures
Url

How it works

Sign up on Apify or log in

The Google Patents Scraper Actor is ready to run with the inputs already set for "Google Patents Machine Learning". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Google Patents Machine Learning" task

The Google Patents Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, start urls, and more, to match your specific use case.

Receive the "Google Patents Machine Learning" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as publication number, title, abstract, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Google Patents Machine Learning" task via API.

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Integrate "Google Patents Machine Learning" into your workflow

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