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Data Extraction

Data extraction, also known as web scraping or data gathering, refers to the process of collecting data from the web. While it can be done manually, data extraction from different sources like websites, databases, documents, and APIs can also be automated. The extracted data can then be used for business intelligence, data analysis, machine learning, and more. 

How Data Extraction Works?

Data extraction involves several steps:

  1. Identify the target web page(s) you want to scrape, such as product listings on an e-commerce site.
  2. Retrieve the HTML code by inspecting the page through your browser.
  3. Parse (clean) the received HTML content to extract relevant data, and save it in a structured format like .json or .csv.
  4. Adjust your scraper as needed. 


There are many tools to help with data gathering, like no-code scrapers, web scraping APIs, or custom-built scrapers. The right tool depends on factors like budget, technical expertise, and the scale of the project.