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Learn step-by-step how to scrape Google Trends data and make a result comparison using Python and Oxylabs SERP API. Extract keywords, their popularity, breakdown by region, related queries, and more.
Python CLI for Google Trends analysis with advanced rate limiting, cookie auth, and beautiful terminal output. Built on pytrends with enterprise features.
Scrape Google Trends data using Python or the Bright Data API. Get real-time search trends, filter by location, category, and time range, and scale effortlessly.
Free, maintained Python library + CLI for Google Trends: trending now, plus keyword interest over time, related queries & interest by region. A modern pytrends alternative.
Topic Mine leverages 1st and/or 2nd party data to identify trending topics and uses our GEMINI to create relevant ads' texts. It generates headlines, descriptions and keywords given a list of products, brands or services and (optionally) additional info about them.
Type-safe Python library for querying, streaming, and exporting Google Trends data — interest over time, by region, trending now, related queries. pandas export, proxy rotation.
Cloud Functions I needed to build for my projects: Requesting from an API || Loading generated data and objects (pics) into Cloud Storage || Loading data from BigQuery for its processing.