Fetching Google Trends Data in Python With a Single API Call

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A developer shares a workflow for pulling Google Trends data into Python without pytrends or browser cookies. The author, who sells the Apify actor used in the tutorial, discloses this and notes it is pay-per-use, charging about $2 per 1,000 search terms that return data. The method sends a JSON request to Apify's synchronous endpoint, which handles retries and proxy rotation on the server side. The tutorial covers a reusable fetch_trends() function, comparing several keywords in one Canada-only query, extracting rising related queries, and exporting results to CSV. Synchronous runs time out after five minutes, so larger batches are directed to an asynchronous pattern covered in a separate part of the series.

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