<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>02470cam a22003375i 4500</leader>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">27919</subfield>
    <subfield code="d">27890</subfield>
  </datafield>
  <controlfield tag="001">20718214</controlfield>
  <controlfield tag="003">EG-ScBUE</controlfield>
  <controlfield tag="005">20191217105615.0</controlfield>
  <controlfield tag="008">181024s2018    caua   f b    001 0 eng d</controlfield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">9781491985571</subfield>
  </datafield>
  <datafield tag="035" ind1=" " ind2=" ">
    <subfield code="a">(OCoLC)on1032828499</subfield>
  </datafield>
  <datafield tag="040" ind1=" " ind2=" ">
    <subfield code="a">SXP</subfield>
    <subfield code="b">eng</subfield>
    <subfield code="e">rda</subfield>
    <subfield code="c">SXP</subfield>
    <subfield code="d">SXP</subfield>
    <subfield code="d">GO4</subfield>
    <subfield code="d">JRZ</subfield>
    <subfield code="d">MHD</subfield>
    <subfield code="d">IMD</subfield>
    <subfield code="d">OCLCF</subfield>
    <subfield code="d">DLC</subfield>
    <subfield code="d">EG-ScBUE</subfield>
  </datafield>
  <datafield tag="082" ind1="0" ind2="4">
    <subfield code="a">005.133</subfield>
    <subfield code="b">MIT</subfield>
    <subfield code="2">22</subfield>
  </datafield>
  <datafield tag="100" ind1="1" ind2=" ">
    <subfield code="a">Mitchell, Ryan E.,</subfield>
    <subfield code="e">author.</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
    <subfield code="a">Web scraping with Python :</subfield>
    <subfield code="b">collecting more data from the modern web /</subfield>
    <subfield code="c">Ryan Mitchell.</subfield>
  </datafield>
  <datafield tag="250" ind1=" " ind2=" ">
    <subfield code="a">Second edition.</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="1">
    <subfield code="a">Sebastopol, CA :</subfield>
    <subfield code="b">O'Reilly Media,</subfield>
    <subfield code="c">2018.</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">xv, 288 pages :</subfield>
    <subfield code="b">illustrations,</subfield>
    <subfield code="c">24 cm</subfield>
  </datafield>
  <datafield tag="336" ind1=" " ind2=" ">
    <subfield code="a">text</subfield>
    <subfield code="b">txt</subfield>
    <subfield code="2">rdacontent</subfield>
  </datafield>
  <datafield tag="337" ind1=" " ind2=" ">
    <subfield code="a">unmediated</subfield>
    <subfield code="b">n</subfield>
    <subfield code="2">rdamedia</subfield>
  </datafield>
  <datafield tag="338" ind1=" " ind2=" ">
    <subfield code="a">volume</subfield>
    <subfield code="b">nc</subfield>
    <subfield code="2">rdacarrier</subfield>
  </datafield>
  <datafield tag="504" ind1=" " ind2=" ">
    <subfield code="a">Includes bibliographical references and index.</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">If programming is magic then web scraping is surely a form of wizardry. By writing a simple automated program, you can query web servers, request data, and parse it to extract the information you need. The expanded edition of this practical book not only introduces you web scraping but also serves as a comprehensive guide to scraping almost every type of data from the modern web. Part I focuses on web scraping mechanics: using Python to request information from a web server, performing basic handling of the server's response, and interacting with sites in an automated fashion. Part II explores a variety of more specific tools and applications to fit any web scraping scenario you're likely to encounter. Parse complicated HTML pages Develop crawlers with the Scrapy framework Learn methods to store data you scrape Read and extract data from documents Clean and normalize badly formatted data Read and write natural languages Crawl through forms and logins Scrape JavaScript and crawl through APIs Use and write image-to-text software Avoid scraping traps and bot blockers Use scrapers to test your website.</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">Learn web scraping and crawling techniques to access data from any web source in any format. Teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing.
</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="7">
    <subfield code="a">Python (Computer program language)</subfield>
    <subfield code="2">BUEsh</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="7">
    <subfield code="a">Data mining.</subfield>
    <subfield code="2">BUEsh</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="7">
    <subfield code="a">Automatic data collection systems.</subfield>
    <subfield code="2">BUEsh</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="b">GGEN</subfield>
    <subfield code="c">December2019</subfield>
  </datafield>
  <datafield tag="655" ind1=" " ind2=" ">
    <subfield code="v">Reading book</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="2">ddc</subfield>
    <subfield code="c">BB</subfield>
  </datafield>
  <datafield tag="952" ind1=" " ind2=" ">
    <subfield code="0">0</subfield>
    <subfield code="1">0</subfield>
    <subfield code="2">ddc</subfield>
    <subfield code="4">0</subfield>
    <subfield code="7">0</subfield>
    <subfield code="8">Baccah</subfield>
    <subfield code="a">MAIN</subfield>
    <subfield code="b">MAIN</subfield>
    <subfield code="c">LOW</subfield>
    <subfield code="d">2019-12-01</subfield>
    <subfield code="e">Purchase</subfield>
    <subfield code="g">550.00</subfield>
    <subfield code="l">1</subfield>
    <subfield code="m">1</subfield>
    <subfield code="o">005.133 MIT</subfield>
    <subfield code="p">000044703</subfield>
    <subfield code="r">2025-07-15 00:00:00</subfield>
    <subfield code="s">2024-05-22</subfield>
    <subfield code="v">687.50</subfield>
    <subfield code="w">2019-12-01</subfield>
    <subfield code="y">BB</subfield>
  </datafield>
</record>
