Skip to main content

gazpacho

Travis PyPI PyPI - Python Version Downloads

About

gazpacho is a simple, fast, and modern web scraping library. The library is stable, actively maintained, and installed with zero dependencies.

Install

Install with pip at the command line:

pip install -U gazpacho

Quickstart

Give this a try:

from gazpacho import get, Soup

url = 'https://scrape.world/books'
html = get(url)
soup = Soup(html)
books = soup.find('div', {'class': 'book-'}, partial=True)

def parse(book):
    name = book.find('h4').text
    price = float(book.find('p').text[1:].split(' ')[0])
    return name, price

[parse(book) for book in books]

Tutorial

Import

Import gazpacho following the convention:

from gazpacho import get, Soup

get

Use the get function to download raw HTML:

url = 'https://scrape.world/soup'
html = get(url)
print(html[:50])
# '<!DOCTYPE html>\n<html lang="en">\n  <head>\n    <met'

Adjust get requests with optional params and headers:

get(
    url='https://httpbin.org/anything',
    params={'foo': 'bar', 'bar': 'baz'},
    headers={'User-Agent': 'gazpacho'}
)

Soup

Use the Soup wrapper on raw html to enable parsing:

soup = Soup(html)

Soup objects can alternatively be initialized with the .get classmethod:

soup = Soup.get(url)

.find

Use the .find method to target and extract HTML tags:

h1 = soup.find('h1')
print(h1)
# <h1 id="firstHeading" class="firstHeading" lang="en">Soup</h1>

attrs=

Use the attrs argument to isolate tags that contain specific HTML element attributes:

soup.find('div', attrs={'class': 'section-'})

partial=

Element attributes are partially matched by default. Turn this off by setting partial to False:

soup.find('div', {'class': 'soup'}, partial=False)

mode=

Override the mode argument {'auto', 'first', 'all'} to guarantee return behaviour:

print(soup.find('span', mode='first'))
# <span class="navbar-toggler-icon"></span>
len(soup.find('span', mode='all'))
# 8

dir()

Soup objects have html, tag, attrs, and text attributes:

dir(h1)
# ['attrs', 'find', 'get', 'html', 'strip', 'tag', 'text']

Use them accordingly:

print(h1.html)
# '<h1 id="firstHeading" class="firstHeading" lang="en">Soup</h1>'
print(h1.tag)
# h1
print(h1.attrs)
# {'id': 'firstHeading', 'class': 'firstHeading', 'lang': 'en'}
print(h1.text)
# Soup

Support

If you use gazpacho, consider adding the scraper: gazpacho badge to your project README.md:

[![scraper: gazpacho](https://img.shields.io/badge/scraper-gazpacho-C6422C)](https://github.com/maxhumber/gazpacho)

Contribute

For feature requests or bug reports, please use Github Issues

For PRs, please read the CONTRIBUTING.md document

Metadata

Release files for gazpacho 1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gazpacho 1.1
File Size Uploaded Provenance
gazpacho-1.1.tar.gz 7.9 kB Without provenance Details

Release files / gazpacho-1.1.tar.gz

Download URL gazpacho-1.1.tar.gz
Size 7.9 kB
Tags Source
SHA-256 checksum
How to use checksums
1579c1be2de05b5ded0a97107b179d12491392fb095aeab185b283ea48cd7010
BLAKE2b-256 checksum
How to use checksums
1d653151b3837e9fa0fa535524c56e535f88910c10a3703487d9aead154c1339
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

Security for gazpacho 1.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page