Book Results

Google Search Scraper
GET/books
Google Books results: title, authors, year, snippet, link and cover thumbnail.
QUERY PARAMS
query *
Search term, or a full google.com/search link (its gl, hl and start fill country, language and page when those are not set).
Examples:
Term: python programming
Link: https://www.google.com/search?q=python+programming
page
Results page to fetch (1-based).
Default: 1
Allowed values: 1-50
num
Results per page. Google serves 10 per request; larger values are assembled from consecutive pages.
Default: 10
Allowed values: 1-100
time_period
Only results from this recent period.
Allowed values: any, hour, day, week, month, year
country
2-letter country Google searches from (the gl edition). UK is accepted for GB.
Default: US
Allowed values: any ISO 3166-1 alpha-2 code (US, GB, IN, DE, FR, JP, ...)
language
Interface language of the results page (the hl code).
Default: en
Allowed values: any ISO 639-1 code (en, es, de, fr, ja, ...)
resolve_links
Resolve Google's /goto redirect links to the real destination URL (the wrapper is kept in google_link). Set false for a faster response.
Default: true
Allowed values: true, false
{
  "count": 925000,
  "per_page": 10,
  "current_page": 1,
  "total_pages": 2,
  "next": "https://google-search-scraper.omkar.cloud/google-search/books?query=python+programming&page=2",
  "previous": null,
  "search_information": {
    "query": "python programming",
    "total_results": 925000
  },
  "books": [
    {
      "position": 1,
      "id": "g1FczgEACAAJ",
      "title": "Python Coding and Programming: Start to Learn the Hard Core ...",
      "link": "https://books.google.com/books?id=g1FczgEACAAJ&dq=python+programming&hl=en&newbks=1&newbks_redir=1&sa=X&ved=2ahUKEwiuu9LP44uXAxXI3skDHYfSB1cQ6AF6BAgLEAM",
      "authors": [
        "Michael Learn"
      ],
      "year": null,
      "snippet": "55 % discount for bookstores ! Now At $34.99 instead of $ 54.23 $ Your customers will never stop reading this guide !!! UPDATE CHAPTERES 10 AND 11 Would you like to learn the hard core of Python coding?",
      "found_inside": null,
      "highlighted_words": [],
      "thumbnail": 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",
      "actions": []
    },
    {
      "position": 2,
      "id": "PxzLyQEACAAJ",
      "title": "Python Programming: A Pragmatic Approach To Programming ...",
      "link": "https://books.google.com/books?id=PxzLyQEACAAJ&dq=python+programming&hl=en&newbks=1&newbks_redir=1&sa=X&ved=2ahUKEwiuu9LP44uXAxXI3skDHYfSB1cQ6AF6BAgPEAM",
      "authors": [
        "Bryan Johnson"
      ],
      "year": null,
      "snippet": "★★★Buy the paperback version of this book and get the kindle version FREE★★★ Are you interested in learning how to write your own codes?",
      "found_inside": null,
      "highlighted_words": [],
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\\x3d",
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      "title": "Python Programming for Machine Learning - Page 1",
      "link": "https://books.google.com/books?id=itMrEQAAQBAJ&pg=PA1&dq=python+programming&hl=en&newbks=1&newbks_redir=1&sa=X&ved=2ahUKEwiuu9LP44uXAxXI3skDHYfSB1cQ6AF6BAgNEAM",
      "authors": [
        "Dr.A.Kalpana",
        "Mrs.S.Sree Priya",
        "Dr.K.Sivakami"
      ],
      "year": null,
      "snippet": null,
      "found_inside": "Found inside – Page 1",
      "highlighted_words": [
        "Python Programming",
        "Python Programming",
        "Python Programming",
        "Python Programming",
        "Python Programming"
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    {
      "position": 6,
      "id": "tQwzEAAAQBAJ",
      "title": "Learn Python: A Crash Course On Python Programming and How ...",
      "link": "https://books.google.com/books?id=tQwzEAAAQBAJ&printsec=frontcover&dq=python+programming&hl=en&newbks=1&newbks_redir=1&sa=X&ved=2ahUKEwiuu9LP44uXAxXI3skDHYfSB1cQ6AF6BAgMEAM",
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      "year": null,
      "snippet": "This book is written to help you master the basic concepts of Python coding and how you can utilize your coding skills to analyze a large volume of data and uncover valuable information that can otherwise be easily lost in the volume.",
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      "actions": [
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    {
      "position": 7,
      "id": "uES4AwAAQBAJ",
      "title": "Python Programming Techniques: The Art of Coding and ...",
      "link": "https://books.google.com/books?id=uES4AwAAQBAJ&pg=PT14&dq=python+programming&hl=en&newbks=1&newbks_redir=1&sa=X&ved=2ahUKEwiuu9LP44uXAxXI3skDHYfSB1cQ6AF6BAgUEAM",
      "authors": [
        "Lance Gifford"
      ],
      "year": null,
      "snippet": null,
      "found_inside": "Found inside",
      "highlighted_words": [
        "Coding",
        "Programming",
        "PYTHON",
        "Python",
        "programming"
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    {
      "position": 8,
      "id": "hbJ5DwAAQBAJ",
      "title": "Introduction to Python Programming",
      "link": "https://books.google.com/books?id=hbJ5DwAAQBAJ&pg=PP12&dq=python+programming&hl=en&newbks=1&newbks_redir=1&sa=X&ved=2ahUKEwiuu9LP44uXAxXI3skDHYfSB1cQ6AF6BAgSEAM",
      "authors": [
        "Gowrishankar S",
        "Veena A"
      ],
      "year": null,
      "snippet": null,
      "found_inside": "Found inside",
      "highlighted_words": [
        "Python Programming",
        "Python Programming",
        "Python programming"
      ],
      "thumbnail": 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\\x3d",
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    {
      "position": 9,
      "id": "2q6cwgEACAAJ",
      "title": "Advanced Python Programming: Build High Performance, ...",
      "link": "https://books.google.com/books?id=2q6cwgEACAAJ&dq=python+programming&hl=en&newbks=1&newbks_redir=1&sa=X&ved=2ahUKEwiuu9LP44uXAxXI3skDHYfSB1cQ6AF6BAgREAM",
      "authors": [
        "Gabriele Lanaro",
        "Quan Nguyen",
        "Sakis Kasampalis"
      ],
      "year": null,
      "snippet": "This Learning Path includes content from the following Packt products: Python High Performance - Second Edition by Gabriele Lanaro Mastering Concurrency in Python by Quan Nguyen Mastering Python Design Patterns by Sakis Kasampalis What you ...",
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\\x3d",
      "actions": [
        "More editions"
      ]
    },
    {
      "position": 10,
      "id": "JonjDwAAQBAJ",
      "title": "Introduction to Python Programming for Business and Social ...",
      "link": "https://books.google.com/books?id=JonjDwAAQBAJ&pg=PP36&dq=python+programming&hl=en&newbks=1&newbks_redir=1&sa=X&ved=2ahUKEwiuu9LP44uXAxXI3skDHYfSB1cQ6AF6BAgTEAM",
      "authors": [
        "Frederick Kaefer",
        "Paul Kaefer"
      ],
      "year": null,
      "snippet": null,
      "found_inside": "Found inside",
      "highlighted_words": [
        "PYTHON",
        "Python's",
        "Python",
        "Programming Python's"
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",
      "actions": [
        "Preview",
        "More editions"
      ]
    }
  ]
}