A fast web scraping library
Project description
Try Web Scraping
To get started, run: pip install trywebscraping
Here's some example code to help you begin:
from trywebscraping import Fetch
hn = Fetch("https://news.ycombinator.com")
articles = hn.query("tr.athing").extract({
"rank": "span.rank",
"title": "td.title a",
"link": "td.title a@href"
}).limit(10)
print(articles)
Or for a more complex example:
from trywebscraping import Fetch
amazon = Fetch("https://www.amazon.com/s?k=cracking+the+coding+interview")
product_listings = amazon.query("div.s-card-container").extract({
"title": "h2 a span.a-text-normal",
"price": "span.a-price-whole",
"rating": "span.a-icon-alt",
"num_reviews": "a-size-base",
"product_link": "h2 a.a-link-normal@href",
"product_image": "img.s-image@src"
})
print(product_listings)
If you're interested in this project, please connect with me:
- Schedule a call: https://cal.com/lukelucas/30min
- Email: luke.lucas@trywebscraping.com
For issues, feedback, or general discussion about the library, you can use our GitHub repository: https://github.com/webscrape/trywebscraping-python
I appreciate any communications, regardless of how you choose to reach out!
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