If you don’t want to get these predictions and recommendations, turn off Personal results. If you’re signed in to your Google Account and have Personal results turned on, you might also get personalized predictions and recommendations in Google Search. Learn how to find & control your Web & App Activity. If you have Web & App Activity on, your Search history is saved in your Google Account and used to give you more personalized experiences in other Google services. Important: When Personal results are off, you won't get personalized predictions or recommendations based on your past searches. You can turn off or remove certain autocomplete predictions or report issues with your predictions. With this, you now have the ability to scrape Google suggestions for content ideas programmatically.With autocomplete, you can enter a Google search more quickly. Go 3 levels deep for each initial single result and then count the frequency. Since we have our JSON response it’s time to load it into a variable as a list so we can output it cleanly. If you choose the output of Firefox you just get this: ,] Output the Response Response = requests.get(url, headers=headers, verify=False) Process the Google Suggestions API Response This is important for requesting untrusted sites, but Google is good and it can cause issues, so we disable it here. verify=false is to disable TLS certificate verification. Then finally use the URL from above and user-agent we just generated to make the call and assign to response to the variable response. Next, we build a user agent for the API call. Url = "" + keyword Make the Google Suggestions API Call We’re going to keep it super simple and not include HL or GL parameters and set output to Firefox to get JSON response but feel free to experiment. If you set to Chrome you’ll also get some extra data (I’ll explore that later on). If set to Firefox or Chrome you get JSON. This determines the format of the output and if you get extra data. client or output = What client to mask as (Firefox, Chrome, Toolbar).Keyword.replace(" ", "+") Build the Google Suggestions API Call Since this variable is going into a URL we need to replace spaces with a plus (+) character or you can use %20, doesn’t matter. This is what Google’s suggestion will use to collect the autocomplete data. It’s time we assign our keyword/keyphrase to a variable. import requestsįrom fake_useragent import UserAgent Assign the Keyword Lastly, we import the user_agent module we just installed. Then import the JSON module as the response will be in JSON (there is an XML option). Next, we import our requests module we will use to make the API call. Note if you are using Google Colab, put an exclamation mark at the beginning of pip3, so !pip3. The API doesn’t have documented usage limits, but Google defenses are always up and if you abuse the API, you may get temporarily or permanently IP blocked. This can help ward off light abuse detection. Access to a Linux installation (I recommend Ubuntu) or Google Colabįirst, we install the fake_useragent module to use in our call header.Python 3 is installed and basic Python syntax understood.Process the Google Suggestions API Response.
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