Scraping Google search results to collect URLs
Free Download Udemy Scraping Google search results to collect URLs. With the help of this course you can Using Python and Google Cloud Platform to scrape results legitimately.
This course was created by Nikki Luzader. It was rated 4.4 out of 5 by approx 14008 ratings. There are approx 52955 users enrolled with this course, so don’t wait to download yours now. This course also includes 41 mins on-demand video, 1 Supplemental Resource, Full lifetime access, Access on mobile and TV & Certificate of Completion.
What Will You Learn?
- Legitimately scrape google search results, specifically to collect URLs using csv files.
- A basic understanding of Google’s cloud platform and developer API
Hello everyone! If you came here looking for a fast solution to collecting URLs, 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.
This is guaranteed to be the fastest and most fruitful way of collecting URLs. 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.
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 than 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.