This python tutorial show how to scrape google search results based on a set of keyword queries and automate google search in python. We use seo function from ecommercetools package.
Use-case:
I want to automate the scraping and storing results from google search engine based on a set of keywords and queries using Python. One possible use-case for this scraping could be a need for finding news or contextual information or article around some topical issues in various locations or communities. Another use-case could be marketing purpose. For instance, a need to find the social media links and contacts for certain target group individuals with certain working roles in communities or locations from google search. Of course there are many more use-cases using google search possible.
Related links for this video:
• a complementary blog with step-by-step tutorial, for more clarification on this video: [ Ссылка ]
• code script template solution and data sample files for this video are available to download in this blog: [ Ссылка ]
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I am Dimo, an economist with a data science focus in industry. I am sharing my productivity, tech-solution, data visualization and analysis experiences, statistical - econometrics - machine learning interpretations in format of how-to tutorials in this channel.
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00:00 Introduction
01:20 step1: packages
02:34 Step2: data query keywords
03:48 step3: create query list
04:51 Step4: scrape google and store results
07:47 final output overview
09:41 store and save final output
