Metadata-Version: 2.1
Name: google-search-results
Version: 1.7.0
Summary: Scrape and search localized results from Google, Bing, Baidu at scale using SerpApi.com
Home-page: https://github.com/serpapi/google-search-results-python
Author: vikoky
Author-email: victor@serpapi.com
License: MIT
Description: ===============================================
        Google / Bing / Baidu Search Results in Python
        ===============================================
        
        .. image:: https://travis-ci.org/serpapi/google-search-results-python.svg?branch=master
            :target: https://travis-ci.org/serpapi/google-search-results-python
        
        This Python package is meant to scrape and parse Google, Bing, Baidu results using `SerpAPI <https://serpapi.com>`_. 
        The following services are provided:
        
        * `Search API <https://serpapi.com/search-api>`_ 
        * `Search Archive API <https://serpapi.com/search-archive-api>`_
        * `Account API <https://serpapi.com/account-api>`_ 
        * `Location API <https://serpapi.com/locations-api>`_
        
        SerpApi provides a `script builder <https://serpapi.com/demo/>`_ to get you started quickly.
        
        Feel free to fork this repository to add more backends.
        
        Installation
        -------------
        
        Compatible with Python 2.7 or 3.7. 
        
        .. code-block:: shell
        
            pip install google-search-results
        
        `Link to the python package page <https://pypi.org/project/google-search-results>`_
        
        Quick start
        -------------
        
        .. code-block:: python
        
            from serpapi.google_search_results import GoogleSearchResults
            client = GoogleSearchResults({"q": "coffee", "location": "Austin,Texas", "api_key": "secretKey"})
            result = client.get_dict()
        
        This example runs a search about "coffee" using your secret api key.
        
        The Serp API service (backend)
        
        * searches on Google using the client: q = "coffee"
        * parses the messy HTML responses
        * return a standardizes JSON response
        
        The GoogleSearchResults class
        
        * Format the request
        * Execute GET http request against Serp API service
        * Parse JSON response into a dictionary
        
        Et voila..
        
        Alternatively, you can search:
        
        * Bing using BingSearchResults class
        * Baidu using BaiduSearchResults class
        
        See the `playground to generate your code. <https://serpapi.com/playground>`_
        
        `Documentation available here <https://github.com/serpapi/google-search-results-python/blob/master/README.md>`_
        
Keywords: scrape,serp,api,json,search,localized,rank,google,bing,baidu,scale,datamining,training,machine
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.7
Classifier: Natural Language :: English
Classifier: Topic :: Utilities
Requires-Python: >=2.6, >=3.6
Description-Content-Type: text/x-rst
