Metadata-Version: 2.1
Name: scrapingbee
Version: 1.1.1
Summary: ScrapingBee Python SDK
Home-page: https://github.com/scrapingbee/scrapingbee-python
Author: Ari Bajo Rouvinen
Author-email: arimbr@gmail.com
Maintainer: Pierre de Wulf
Maintainer-email: hello@scrapingbee.com
License: MIT
Description: # ScrapingBee Python SDK
        
        [![lint-test-publish](https://github.com/scrapingbee/scrapingbee-python/workflows/lint-test-publish/badge.svg)](https://github.com/scrapingbee/scrapingbee-python/actions)
        [![version](https://img.shields.io/pypi/v/scrapingbee.svg)](https://pypi.org/project/scrapingbee/)
        [![python](https://img.shields.io/pypi/pyversions/scrapingbee.svg)](https://pypi.org/project/scrapingbee/)
        
        [ScrapingBee](https://www.scrapingbee.com/) is a web scraping API that handles headless browsers and rotates proxies for you. The Python SDK makes it easier to interact with ScrapingBee's API.
        
        ## Installation
        
        You can install ScrapingBee Python SDK with pip.
        
        ```bash
        pip install scrapingbee
        ```
        
        ## Usage
        
        The ScrapingBee Python SDK is a wrapper around the [requests](https://docs.python-requests.org/en/master/) library. ScrapingBee supports GET and POST requests.
        
        Signup to ScrapingBee to [get your API key](https://app.scrapingbee.com/account/register) and some free credits to get started.
        
        ### Making a GET request
        
        ```python
        >>> from scrapingbee import ScrapingBeeClient
        
        >>> client = ScrapingBeeClient(api_key='REPLACE-WITH-YOUR-API-KEY')
        
        >>> response = client.get(
            'https://www.scrapingbee.com/blog/', 
            params={
                # Execute JavaScript code with a Headless Browser
                'render_js': True,
                # Scroll once
                'js_scroll': True,
                # Wait 5 seconds before returning the response
                'wait': 5000,
                # Use a premium proxy
                'premium_proxy': True,
                # Use a premium proxy in France
                'country_code': 'fr',
                # Use some data extraction rules
                'extract_rules': {'title': 'h1'},
            },
            headers={
                # Forward custom headers to the target website
                "key_1": "value_1"
            },
            cookies={
                # Forward custom cookies to the target website
                "name_1": "value_1"
            }
        )
        
        >>> response.text
        '<!DOCTYPE html><html lang="en"><head>...'
        ```
        
        ScrapingBee takes various parameters to render JavaScript, execute a custom JavaScript script, use a premium proxy from a specific geolocation and more. You can find all the supported parameters on [ScrapingBee's documentation](https://www.scrapingbee.com/documentation/).
        
        You can send custom cookies and headers like you would normally do with the requests library.
        
        ## Using ScrapingBee with Scrapy
        
        Scrapy is the most popular Python web scraping framework. You can easily [integrate ScrapingBee's API with the Scrapy middleware](https://github.com/ScrapingBee/scrapy-scrapingbee).
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.6
Description-Content-Type: text/markdown
