• This repository has been archived on 08/May/2020
  • Stars
    star
    3,562
  • Rank 12,452 (Top 0.3 %)
  • Language
    Python
  • License
    Other
  • Created over 7 years ago
  • Updated over 3 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Headless chrome/chromium automation library (unofficial port of puppeteer)

Pyppeteer

Pyppeteer has moved to pyppeteer/pyppeteer


PyPI PyPI version Documentation Travis status AppVeyor status codecov

Unofficial Python port of puppeteer JavaScript (headless) chrome/chromium browser automation library.

Installation

Pyppeteer requires python 3.6+. (experimentally supports python 3.5)

Install by pip from PyPI:

python3 -m pip install pyppeteer

Or install latest version from github:

python3 -m pip install -U git+https://github.com/miyakogi/pyppeteer.git@dev

Usage

Note: When you run pyppeteer first time, it downloads a recent version of Chromium (~100MB). If you don't prefer this behavior, run pyppeteer-install command before running scripts which uses pyppeteer.

Example: 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('http://example.com')
    await page.screenshot({'path': 'example.png'})
    await browser.close()

asyncio.get_event_loop().run_until_complete(main())

Example: evaluate script on the page.

import asyncio
from pyppeteer import launch

async def main():
    browser = await launch()
    page = await browser.newPage()
    await page.goto('http://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())

Pyppeteer has almost same API as puppeteer. More APIs are listed in the document.

Puppeteer's document and troubleshooting are also useful for pyppeteer users.

Differences between puppeteer and pyppeteer

Pyppeteer is to be as similar as puppeteer, but some differences between python and JavaScript make it difficult.

These are differences between puppeteer and pyppeteer.

Keyword arguments for options

Puppeteer uses object (dictionary in python) for passing options to functions/methods. Pyppeteer accepts both dictionary and keyword arguments for options.

Dictionary style option (similar to puppeteer):

browser = await launch({'headless': True})

Keyword argument style option (more pythonic, isn't it?):

browser = await launch(headless=True)

Element selector method name ($ -> querySelector)

In python, $ is not usable for method name. So pyppeteer uses Page.querySelector()/Page.querySelectorAll()/Page.xpath() instead of Page.$()/Page.$$()/Page.$x(). Pyppeteer also has shorthands for these methods, Page.J(), Page.JJ(), and Page.Jx().

Arguments of Page.evaluate() and Page.querySelectorEval()

Puppeteer's version of evaluate() takes JavaScript raw function or string of JavaScript expression, but pyppeteer takes string of JavaScript. JavaScript strings can be function or expression. Pyppeteer tries to automatically detect the string is function or expression, but sometimes it fails. If expression string is treated as function and error is raised, add force_expr=True option, which force pyppeteer to treat the string as expression.

Example to get page content:

content = await page.evaluate('document.body.textContent', force_expr=True)

Example to get element's inner text:

element = await page.querySelector('h1')
title = await page.evaluate('(element) => element.textContent', element)

Future Plan

  1. Catch up development of puppeteer
    • Not intend to add original API which puppeteer does not have

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.