Pyppeteer
Headless chrome/chromium automation library (unofficial port of puppeteer)
Install / Use
/learn @pyppeteer/PyppeteerREADME
Attention: This repo is unmaintained and has been outside of minor changes for a long time. Please consider playwright-python as an alternative.
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pyppeteer
Note: this is a continuation of the pyppeteer project
Unofficial Python port of puppeteer JavaScript (headless) chrome/chromium browser automation library.
- Free software: MIT license (including the work distributed under the Apache 2.0 license)
- Documentation: https://pyppeteer.github.io/pyppeteer/
Installation
pyppeteer requires Python >= 3.8
Install with pip from PyPI:
pip install pyppeteer
Or install the latest version from this github repo:
pip install -U git+https://github.com/pyppeteer/pyppeteer@dev
Usage
Note: When you run pyppeteer for the first time, it downloads the latest version of Chromium (~150MB) if it is not found on your system. If you don't prefer this behavior, ensure that a suitable Chrome binary is installed. One way to do this is to run
pyppeteer-installcommand before prior to using this library.
Full documentation can be found here. Puppeteer's documentation and its troubleshooting guide are also great resources for pyppeteer users.
Examples
Open web page and take a screenshot:
import asyncio
from pyppeteer import launch
async def main():
browser = await launch()
page = await browser.newPage()
await page.goto('https://example.com')
await page.screenshot({'path': 'example.png'})
await browser.close()
asyncio.get_event_loop().run_until_complete(main())
Evaluate javascript on a page:
import asyncio
from pyppeteer import launch
async def main():
browser = await launch()
page = await browser.newPage()
await page.goto('https://example.com')
await page.screenshot({'path': 'example.png'})
dimensions = await page.evaluate('''() => {
return {
width: document.documentElement.clientWidth,
height: document.documentElement.clientHeight,
deviceScaleFactor: window.devicePixelRatio,
}
}''')
print(dimensions)
# >>> {'width': 800, 'height': 600, 'deviceScaleFactor': 1}
await browser.close()
asyncio.get_event_loop().run_until_complete(main())
Differences between puppeteer and pyppeteer
pyppeteer strives to replicate the puppeteer API as close as possible, however, fundamental differences between Javascript and Python make this difficult to do precisely. More information on specifics can be found in the documentation.
Keyword arguments for options
puppeteer uses an object for passing options to functions/methods. pyppeteer methods/functions accept both dictionary (python equivalent to JavaScript's objects) and keyword arguments for options.
Dictionary style options (similar to puppeteer):
browser = await launch({'headless': True})
Keyword argument style options (more pythonic, isn't it?):
browser = await launch(headless=True)
Element selector method names
In python, $ is not a valid identifier. The equivalent methods to Puppeteer's $, $$, and $x methods are listed below, along with some shorthand methods for your convenience:
| puppeteer | pyppeteer | pyppeteer shorthand | |-----------|-------------------------|----------------------| | Page.$() | Page.querySelector() | Page.J() | | Page.$$() | Page.querySelectorAll() | Page.JJ() | | Page.$x() | Page.xpath() | Page.Jx() |
Arguments of Page.evaluate() and Page.querySelectorEval()
puppeteer's version of evaluate() takes a JavaScript function or a string representation of a JavaScript expression. pyppeteer takes string representation of JavaScript expression or function. pyppeteer will try to automatically detect if the string is function or expression, but it will fail sometimes. If an expression is erroneously treated as function and an error is raised, try setting force_expr to True, to force pyppeteer to treat the string as expression.
Examples:
Get a page's textContent:
content = await page.evaluate('document.body.textContent', force_expr=True)
Get an element's textContent:
element = await page.querySelector('h1')
title = await page.evaluate('(element) => element.textContent', element)
Roadmap
See projects
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
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