Scraping data from Google search results

Scraping data from Google search results, available at $24.99, has an average rating of 2.85, with 10 lectures, based on 20 reviews, and has 109 subscribers.

You will learn about How to scrape Google search results using Python to collect three types of data: URLs, Facebook pages, and images. A basic understanding of utilizing Googles cloud platform and developer API to scrape data legitimately This course is ideal for individuals who are Beginners who want to scrape Google search results. No experience necessary or People who want to save time collecting business/organization/facebook URLs It is particularly useful for Beginners who want to scrape Google search results. No experience necessary or People who want to save time collecting business/organization/facebook URLs.

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Summary

Title: Scraping data from Google search results

Price: $24.99

Average Rating: 2.85

Number of Lectures: 10

Number of Published Lectures: 10

Number of Curriculum Items: 10

Number of Published Curriculum Objects: 10

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

How to scrape Google search results using Python to collect three types of data: URLs, Facebook pages, and images.

A basic understanding of utilizing Googles cloud platform and developer API to scrape data legitimately

Who Should Attend

Beginners who want to scrape Google search results. No experience necessary

People who want to save time collecting business/organization/facebook URLs

Target Audiences

Beginners who want to scrape Google search results. No experience necessary

People who want to save time collecting business/organization/facebook URLs

Hello everyone!

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.?

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Course Curriculum

Chapter 1: Getting what you need

Lecture 1: Getting Python

Lecture 2: Setting up Python package installer

Lecture 3: Setting up Google API and PATH

Lecture 4: Creating a cloud project and getting API key

Lecture 5: Custom search engine setup and getting CSE ID

Chapter 2: Bringing your program to life

Lecture 1: Demonstration and getting your first results

Lecture 2: Housekeeping – Being organized

Lecture 3: Writing the code

Lecture 4: Customizing your results

Lecture 5: Increasing your daily limit and some extra scraping advice

Instructors

Nikki Luzader
Programmer, Web Developer

Rating Distribution

1 stars: 3 votes

2 stars: 3 votes

3 stars: 4 votes

4 stars: 3 votes

5 stars: 7 votes

Frequently Asked Questions

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