![]() ![]() Top Charts: returns the data for a given topic shown in Google Trends' Top Charts section. Trending Searches: returns data for latest trending searches shown on Google Trends' Trending Searches section. Related Queries: returns data for the related keywords to a provided keyword shown on Google Trends' Related Queries section. Related Topics: returns data for the related keywords to a provided keyword shown on Google Trends' Related Topics section. Interest by Region: returns data for where the keyword is most searched as shown on Google Trends' Interest by Region section. ![]() It seems like this would be the only way to get historical, hourly data. It sends multiple requests to Google, each retrieving one week of hourly data. ![]() Historical Hourly Interest: returns historical, indexed, hourly data for when the keyword was searched most as shown on Google Trends' Interest Over Time section. Multirange Interest Over Time: returns historical, indexed data similar to interest over time, but across multiple time date ranges. Interest Over Time: returns historical, indexed data for when the keyword was searched most as shown on Google Trends' Interest Over Time section. Pytrends.build_payload(kw_list, cat=0, timeframe='today 5-y', geo='', gprop='') Note: only https proxies will work, and you need to add the port number after the proxy ip address Build Payload kw_list = Note: the parameter hl specifies host language for accessing Google Trends. A dict with additional parameters to pass along to the underlying requests library, for example verify=False to ignore SSL errors.By default, backoff is disabled (set to 0). It will never be longer than Retry.BACKOFF_MAX. If the backoff_factor is 0.1, then sleep() will sleep for between retries. Pytrends = TrendReq(hl='en-US', tz=360, timeout=(10,25), proxies=, retries=2, backoff_factor=0.1, requests_args= - 1)) seconds. Or if you want to use proxies as you are blocked due to Google rate limit: from pytrends.request import TrendReq Table of Contentsīack to top API Connect to Google from pytrends.request import TrendReq Looking for maintainers! Please open an issue with a method of contacting you if you're interested. When that happens feel free to contribute! Only good until Google changes their backend again :-P. Allows simple interface for automating downloading of reports from Google Trends. ![]()
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