pyppeteer

Note: this is a continuation of the pyppeteer project. Before undertaking any sort of developement, it is highly reccomended that you take a look #16 for the ongoing effort to update this library to avoid duplicating efforts.

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 >= 3.6

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-install command 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.