Scraping data from Google search results
- 1 hour on-demand video
- 1 downloadable resource
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
Get your team access to 4,000+ top Udemy courses anytime, anywhere.Try Udemy for Business
- How to scrape Google search results using Python to collect three types of data: URLs, Facebook pages, and images.
- A basic understanding of utilizing Google's cloud platform and developer API to scrape data legitimately
- A Gmail account (free)
- Python 3.6
- Basic programming knowledge recommended but not required.
- Some python experience recommended but not required
If you came here looking for a fast and efficient solution to collecting data from a Google search, then you came to the right place. In this course, I will show you how to use Python and Google Cloud Platform(GCP) to grab web URLs from Google search results. By utilizing the GCP, you are given a robust set of tools to customize your collection.
This is guaranteed to be the fastest and most fruitful way to collect data from your searches. This will also open up the door for many other opportunities to explore Python and GCP to take on future projects, such as scraping and collecting images.
The code in this course can be expanded upon, and I have uploaded it to gitHub as well, and will continue to update it in the future.
Now.. if you search the internet for "how to scrape google search results", it is unlikely that you will find a guide like this one, or even a method utilizing the same approach. This was something that I personally has been trying to figure out for a long time, and I have been unable to find any straightforward guides on this method, so I hope you came here and finally found what you are looking for.
The applications for this are limitless, but most people will probably be doing this because they want to save time by automating this process. Essentially, that is what we are doing here: we are automating the process of going to the Google search engine, typing in a search term, finding the most relevant URL, and saving that to a file. This is a process that can do all of that in less that a second. We can utilize Python's ability to read and write to CSV files in order to 'feed' Google a CSV with our search terms, get the most relevant result, and then append the results to a new CSV file.
Logo created with LogoMakr
- Beginners who want to scrape Google search results. No experience necessary
- People who want to save time collecting business/organization/facebook URLs