Introduction to caw Library
caw is a powerful and flexible library designed to make web scraping easy and efficient. This guide delves into the various APIs provided by caw and includes practical examples to illustrate their usage.
Getting Started with caw
The first step in using caw is to install the library:
pip install caw
Basic Usage
Here’s a simple example to get you started:
import caw
# Initiate a scraper session
scraper = caw.Scraper(start_url="https://example.com")
response = scraper.get(start_url)
print(response.content)
Advanced Features
Handling Authentication
Some websites require authentication. caw provides an easy way to handle this:
auth_info = {'username': 'user', 'password': 'pass'}
scraper.authenticate(url="https://example.com/login", data=auth_info)
Handling AJAX
Many modern websites use AJAX to load data asynchronously. Here’s how you can handle it using caw:
data = scraper.get_ajax_data("https://example.com/ajax_endpoint")
print(data)
Data Extraction
Extracting specific data from a webpage is one of the most common tasks. Here’s how:
titles = scraper.extract_data(selector="h1.title")
print(titles)
Handling Pagination
Scraping paginated content can be challenging, but caw makes it straightforward:
for page in scraper.paginate(start_page=1, end_page=5, url_pattern="https://example.com/page/{}"):
content = page.content
print(content)
App Example
Let us create a simple scraping app that collects headlines from a news website:
import caw
class NewsScraper:
def __init__(self, start_url):
self.scraper = caw.Scraper(start_url=start_url)
def get_headlines(self):
headlines = self.scraper.extract_data(selector="h1.headline")
return headlines
if __name__ == "__main__":
scraper = NewsScraper(start_url="https://example-news.com")
headlines = scraper.get_headlines()
for headline in headlines:
print(headline)
This example demonstrates the powerful capabilities of caw when scraping websites for specific types of data, making your web scraping tasks both efficient and effective.
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