Automated Data Scraping and Extraction (1) - PowerPoint PPT Presentation

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Automated Data Scraping and Extraction (1)

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Data or web scraping is the process of automatically extracting information from websites. This typically involves using software tools or scripts to navigate web pages, retrieve data, and store it in a structured format, such as a spreadsheet or database. Web scraping is commonly used for tasks like gathering market research, monitoring competitors, or collecting public data from various online sources. However, it’s essential to respect the website's terms of service and legal guidelines when scraping data. – PowerPoint PPT presentation

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Date added: 30 August 2024
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Title: Automated Data Scraping and Extraction (1)


1
Automated Data Scraping and Extraction
  • What is Data Scraping?
  • Data or web scraping is the process of
    automatically extracting information from
    websites. This typically involves using software
    tools or scripts to navigate web pages, retrieve
    data, and store it in a structured format, such
    as a spreadsheet or database. Web scraping is
    commonly used for tasks like gathering market
    research, monitoring
  • competitors, or collecting public data from
    various online sources.
  • However, its essential to respect the website's
    terms of service and legal guidelines when
    scraping data.
  • The Process of Web Scraping
  • The process of automating web scraping typically
    involves several key steps
  • Define the Objectives Determine what data you
    need and from which websites.
  • Choose the Tools Select the appropriate
    libraries or frameworks (e.g., Beautiful Soup,
    Scrapy, Selenium) based on the complexity of the
    target site and your programming skills.
  • Inspect the Target Website Use browser developer
    tools to understand the structure of the web
    pages, identifying the HTML elements that contain
    the desired data.

2
  • Write the Scraping Script Develop a script that
    automates
  • navigation to the target URLs, extracts the
    relevant data, and processes it. This may include
    handling pagination, form submissions, or
    JavaScript-
  • rendered content.
  • Handle Data Storage Set up mechanisms to save
    the scraped data into a desired format (e.g.,
    CSV, JSON) or directly into a database.
  • Implement Error Handling Add error handling to
    manage issues like broken links, timeouts, or
    unexpected changes in website structure.
  • Schedule the Script Use task scheduling tools
    (like cron jobs) or cloud-based automation
    services to run the script at regular intervals.
  • Monitor and Maintain Regularly check the
    script's performance and update it as needed to
    adapt to changes in the website structure or to
    improve efficiency.
  • Respect Legal and Ethical Guidelines Always
    follow the website's terms of service and ensure
    compliance with relevant laws regarding data
    usage.
  • Article Source https//www.webdataguru.com/blog/a
    utomated-data- scraping-and-extraction
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