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Big Data Big Data in Agriculture-Smart Farming Made Easy The digital era has revolutionized many industries with the huge impact of big data. The overwhelming amount of information available on the web is estimated to reach 44 zettabytes by
Data Scraping 10 Myths About Data Scraping You Probably Still Believe Data scraping is the process of extracting data from the web and it has become very popular in recent years. If used and analyzed properly, data can be a powerful
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Data Scraping Why the Automobile Industry Should Make Use of Data Extraction Services in 2019 The world economy suffers uncertainties and crises from time to time, however, there’s one industry that is constantly growing despite all the fluctuations: the automobile industry. The past decade
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tutorials How to Easily Scrape Ali Express Part 3: Parsers The next step is to create a script that will find and enqueue all the individual Ali Express product pages within the “Women’s Clothing” category, which we will then use to parse out the product details. Create a folder called “parsers” in our
tutorials How to Easily Scrape Ali Express Part 4: Exporters To create an exporter first create an “exporters” directory in your project’s root folder. Inside this “exporters” folder create a file called “products_json.yaml” with the following content: exporter_name: products_json # Must be unique exporter_type: json collection: products write_mode:
How to Easily Scrape Ali Express Part 2: Seeders Every DataHen scraper requires a seeder script which tells the scraper which pages to start scraping. A seeder script is a Ruby file that uses Ruby to load urls into a variable called, “pages.”
tutorials How to Easily Scrape Ali Express Part 1: Setup Scraping websites will get you valuable data but often times it is not straightforward. There are challenges such as creating requests (you will need to learn how to code and
tutorials How to Easily Scrape Amazon with Ruby and Nokogiri - Part 4: Exporters To create an exporter first create an “exporters” directory in your project’s root folder. Inside this “exporters” folder create a file called “products_json.yaml” with the following content: exporter_name: products_json # Must be unique exporter_type: json collection: products write_mode:
tutorials How to Easily Scrape Amazon with Ruby and Nokogiri - Part 3: Parsers The next step is to create a script that will find and enqueue all the Amazon television pages, which we will then use to parse out the product details. Create a folder called “parsers” in our project root directory: $ mkdir parsers Next create a
tutorials How to Easily Scrape Amazon with Ruby and Nokogiri - Part 2: Seeders Every DataHen scraper requires a seeder script which tells the scraper which pages to start scraping. A seeder script is a Ruby file that uses Ruby to load urls into a variable called, “pages.” First create a directory for our seeder script: $ mkdir seeder
tutorials How to Easily Scrape Amazon with Ruby and Nokogiri - Part 1: Setup Scraping websites can help you get valuable data but often times it is not easy. You will most likely run into challenges such as creating requests (you will need to
tutorials How to Web Scrape Walmart with Ruby and Nokogiri Part 4: Exporters To create an exporter first create an “exporters” directory in your project’s root folder. Inside this “exporters” folder create a file called “products_json.yaml” with the following content: exporter_name: products_json # Must be unique exporter_type: json collection: products write_mode:
tutorials How to Web Scrape Walmart with Ruby and Nokogiri Part 3: Parsers Now that we have our seeder working, the next step is to create a script that will find and enqueue all the Walmart movie pages, which we will then use to parse out details such as movie titles, prices, publishers, etc. Create a folder
tutorials How to Web Scrape Walmart with Ruby and Nokogiri Part 2: Seeders Every DataHen scraper requires a seeder script which tells the scraper which pages to start scraping. A seeder script is a Ruby file that uses Ruby to load urls into a variable called, “pages.” First create a directory for our seeder script: $ mkdir seeder
