rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Website Scraping with Python
    sub title: Using BeautifulSoup and Scrapy
  name:
    name part: Hajba, Gábor László.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 223 p. 56 illus. online resource.
  abstract: Closely examine website scraping and data processing: the technique of extracting data from websites in a format suitable for further analysis. You'll review which tools to use, and compare their features and efficiency. Focusing on BeautifulSoup4 and Scrapy, this concise, focused book highlights common problems and suggests solutions that readers can implement on their own. Website Scraping with Python starts by introducing and installing the scraping tools and explaining the features of the full application that readers will build throughout the book. You'll see how to use BeautifulSoup4 and Scrapy individually or together to achieve the desired results. Because many sites use JavaScript, you'll also employ Selenium with a browser emulator to render these sites and make them ready for scraping. By the end of this book, you'll have a complete scraping application to use and rewrite to suit your needs. As a bonus, the author shows you options of how to deploy your spiders into the Cloud to leverage your computer from long-running scraping tasks.
  table of contents: 1. Getting Started -- 2. Entering the Requirements 3. Using Beautiful Soup -- 4. Using Scrapy -- 5. Handling JavaScript -- 6. Website Scraping in the Cloud.
  note: by Gábor László Hajba.
  subject:
    topic: Python (Computer program language)
  subject:
    topic: Computer programming
  subject:
    topic: Python
  subject:
    topic: Web Development
  classification: QA76.73.P98
  classification: 005.133
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781484239254
  identifier: https://doi.org/10.1007/978-1-4842-3925-4
  record info:
    record creation date: 180914
    record change date: 20191215181522.0
    record identifier: 978-1-4842-3925-4