If you’re looking for a quick and easy way to download Google Trends data, you’re in luck. There are a few different ways to automate the process, and in this post, we’ll show you how to do it using a Python script.
First, head over to the Google Trends page and enter the keyword or phrase you’re interested in. For this example, we’ll use “data science.”
Next, click on the “Download” button in the top right corner of the page.
A pop-up window will appear, asking you to confirm the file format for the download. Make sure to select “CSV” and then click “OK.”
Your browser will then start downloading the file. Once the download is complete, open the file in your favorite text editor.
The first row of the CSV file contains the column headers, so we’ll need to remove that before we can start working with the data. Scroll down to the second row and delete it.
Now we can start working with the data. Let’s say we want to find out how the popularity of “data science” has changed over time. We can do this by plotting the data from the “date” column against the “value” column.
To do this, we’ll need to import the matplotlib library. Add the following code to the top of your Python script:
import matplotlib.pyplot as plt
Next, we’ll use the matplotlib.pyplot.plot() function to plot the data. Add the following code to your script:
plt.plot(data[‘date’], data[‘value’])
Finally, we’ll use the matplotlib.pyplot.show() function to display the plot. Add the following code to your script:
plt.show()
Run your script and you should see a plot that looks something like this:
As you can see, the popularity of “data science” has increased significantly over the past few years.
That’s all there is to it! You can now download Google Trends data and use it to generate plots like this one.
Other related questions:
Can you download Google Trends data?
Yes, you can download Google Trends data.
Is there an API for Google Trends?
There is no specific API for Google Trends. However, the Google Data Protocol may be used to request data from Google Trends.
How do I scrape Google Trends data?
There is no definitive answer to this question, as there are a variety of ways to scrape Google Trends data. However, some methods that may be useful include using a web scraping tool or writing a script to extract the data from the Google Trends website.
How do you pull data from Google Trends using Python?
There is no official API for Google Trends, however, there are a few Python libraries that allow you to access the data:
pytrends: https://github.com/GeneralMills/pytrends
google_trends_api: https://github.com/pat310/google-trends-api
trendsapi: https://github.com/tristanwietsma/trendsapi