![google trends api python google trends api python](https://miro.medium.com/max/1400/1*XQRC39F53r1o5ROTBdkjwQ.png)
I used bounds to determine the breadth and depth of analysis.
![google trends api python google trends api python](https://miro.medium.com/max/1280/1*CRugES8usF9WqtyL6QfJ1Q.png)
Next I used this same interface to access an expandable number of additional variable terms, and cross reference those terms with the root term. I used an open source python google trends API (not created by google), as the backbone of the project, changing the API source to better fit the efficiency and input needs of my algorithm. By statistically analyzing the datas through a quadratic least squares regression, the algorithm gives those inputted terms a past and direction, allowing a completely new and unique view of the data. By cross referencing one or more terms with other similar terms, the algorithm takes the big picture of a set of search terms. Using a modified custom build google trends API, the algorithm takes one or more search terms and displays the popularity of that term over time.
![google trends api python google trends api python](https://i.morioh.com/200713/9e752e06.jpg)
Just select your preference from any API endpoints page.I was inspired by the abundance of unused and untapped potential of search engine statistics, and how this data can be valuable to firms in their decisions and planning for the future.
#GOOGLE TRENDS API PYTHON FREE#
Are there examples of free Google Trends APIs?Īll Google Trends APIs are supported and made available in multiple developer programming languages and SDKs including: Furthermore, the API can return related topics and queries.
![google trends api python google trends api python](https://predictivehacks.com/wp-content/uploads/2020/03/TrendingSearches-1024x742.png)
Keyword information can be relegated to a particular location. What you can expect from Google Trends APIs?Ī quality Google Trends API should provide the user with the popularity of a keyword over a specific amount of time, which will be relative to the given period. When using an API, this time and effort are cut dramatically. Manually researching and copying data from the Google Trends site is a research and time-intensive process. By keeping a finger on the pulse of the user, they can tailor their products and marketing efforts pointedly.
#GOOGLE TRENDS API PYTHON HOW TO#
This data can be helpful for anyone from reporters searching for related queries to a hot story so they know how to spin their articles to political parties trying to gauge speaking points that will be popular in a given city.īusinesses, SEO professionals, and marketers can likewise use trending data in a multitude of ways. It is a valuable tool for comparing the public’s interest in any given topic over time as well. Google Trends is for anyone that requires a high-level view of what users are searching for, either locally or globally. Common parameter requests for given keywords include: The requested parameters are then sent back to the originating server. The API, usually in JSON, PHP, or DTO format, sends the request to Google servers. The random dataset returned provides a look into a keyword’s popularity relative to total Google searches in that timeframe. The data is anonymous, categorized, and aggregated. This information can be global or narrowed to a particular location down to the city level. Google Trends is a feature that shows how often any given search is entered into the Google search engine compared to total search volume during a given time, which can be any period from 2004 to ~36 hours ago. Google Trends APIs can streamline the process of extrapolating a large amount of Google’s search trend data.