Scrape most popular websites easily
Project description
Scrapista
Scrapista helps with scraping datasets from some of the most popular websites such as Wikipedia, Amazon, etc.
Installation
$ python -m pip install scrapista
Getting started to use the Amazon scraper:
from scrapista import AmazonScraper
# sample headers
headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.90 Safari/537.36"}
base_url = "https://www.amazon.de"
scraper = AmazonScraper(headers,base_url)
data_list = scraper.scrape_keywords(["pencil","couch"])
print(len(data_list)) # 120
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
scrapista-0.0.6.tar.gz
(15.1 kB
view hashes)
Built Distribution
scrapista-0.0.6-py3-none-any.whl
(18.0 kB
view hashes)
Close
Hashes for scrapista-0.0.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5e905f1734ba8d52a6c15e380bb139904f3f7e69be0048cae5e39fee55485a7c |
|
MD5 | aa07f25205788e8b8ccc7a335e8aca04 |
|
BLAKE2b-256 | 7d30ab1e269ac3f6b0f9bdf6f1a1b3de8c61f2408747dac866925baa48694631 |