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SerpApi: Data for Machine Learning and AI Models

Scrape Images results

Extract and use images from various search engines to train your own machine learning models. Image results from search engines are the best source of images for machine learning data. It’s diverse, universal, and already labeled.

Prepare the dataset for training a machine learning model by accessing hundreds of images, including their thumbnail, title, and URL.
Build your own neural network and solve the challenge of image classification by using our API.

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Scrape Text results

Regular organic results are a rich and powerful source of data for your machine learning models. They are already structured and clear.

Extract the text behind each webpage.
Build a question-answering model on top of the collection of texts related to the query.
Use natural language to understanding the semantic data layer that Google uses to rank results.

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Google Scholar results

Another rich source of data is our Google Scholar API. Get access to an engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and publishers.

Use scholarly data to build machine learning prediction models.
Mine scientific articles and map thousands of matching documents to get the best overview of what should be relevant to a certain research question.

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