This gives you a JSON response that contains the name of first wikipedia page returned in the search, which you can then use to perform a query against the API:įrom here you can grab the first sentence on the page (hint: this usually tells us if the person in question is a singer or not): “Jamie Lynn Marie Spears (born April 4, 1991) is an American actress and singer.” Using the Wikipedia Open API you can perform an open search for the term, for example “Jamie Lynn Spears”: More specifically, we have a great new jingle for our authentic ham and we’re looking for some trendy singers to bring attention to our company. What we do know is we’re looking for a singer to strike up a brand deal with.

But it’s unclear who these people are or why they’re trending. Now going a bit further, if we take a look at the top rising search terms from yesterday (as of writing this on 6/30), we can see that there are a lot of names for people. This might be a great opportunity to create a new campaign and capitalize on momentum: “Spain beat Croatia and is on to the next round, show your support by celebrating with some authentic Spanish ham!” It looks like `Spain vs Croatia` was recently trending because of the Euro Cup. Here, we’re using a simple user-defined function that converts the string to lowercase, tokenizes it, and removes words with numbers, and stop words or adjectives that we’ve hard-coded. Like most text problems, you should probably start with some preprocessing.

“10oz Authentic Ham and Sausages from Spain” These names can be long and may contain lots of words or phrases that aren’t necessary for this analysis. For example: Let's imagine that you have a table that contains all your product names. Instead, you might want to focus your analysis on terms that are relevant to you. Search terms are constantly changing and it might not be practical for your team to dig into each and every one. You may even want to compare across your stores to see how similar term interest is, which may offer new insight into localized product development. With this information, you can figure out what trends are most important to customers in the areas you care about, which can help you optimize marketing efforts, stock levels, and employee coverage. You can view and run the queries we demonstrate here. You can learn more about the dataset here, and check out the Looker dashboard here! These tables are super valuable in their own right, but when you blend them with other actionable data you can unlock whole new areas of opportunity for your team. The Trends data allows users to measure interest in a particular topic or search term across Google Search, from around the United States, down to the city-level. The Google Trends dataset represents the first time we’re adding Google-owned Search data into the program. Plus, the first 1 TB per month is free! Even better, all of these public datasets will soon be accessible and shareable via Analytics Hub. You only pay for queries against the data. Google pays for the storage of these datasets and provides public access to the data, e.g., via the bigquery-public-data project. If you’re not familiar with our datasets program, we host a variety of datasets in BigQuery and Cloud Storage for you to access and integrate into your analytics. Time window: Set the specific time window, 'today+5-y' Last five years (default), 'all' for all since 2004 or a specific time span using 'Y-m-d Y-m-d'.įurther, the package allows to specify the channel ('web' (default), 'news' 'images', 'froogle' (shopping) and 'youtube').A few weeks ago, we launched a new dataset into Google Cloud’s public dataset program: Google Trends. The countrycode package might be useful to find the desired codes. For specific countries use the country code.

Thus, if the analysis contains a highly popular keyword, less popular keywords will have values close to 0 and it will be hard to analyze any variation over time. Already here, it is important to keep in mind that the obtained values are always relative to the maximum volume for one keyword in one period (and not the absolute search volume). The package offers the same selection options as the Google Trends interface on the website. Setting the keywords, country and time window ¶

Google trends api