Skip to main content

Ecoindex_scraper module provides a way to scrape data from given website while simulating a real web browser

Project description

Ecoindex Scraper

Validate project quality

PyPI - Version PyPI - Downloads

This module provides a simple interface to get the Ecoindex of a given webpage using module ecoindex-compute

Requirements

  • Python ^3.10 with pip

Install

pip install ecoindex_scraper

If you need to convert the screenshot to webp with the generate_screenshot method, you need to install the Pillow dependency.

pip install ecoindex_scraper[webp] # OR directly pillow

Use

Get a page analysis

You can run a page analysis by calling the function get_page_analysis():

(function) get_page_analysis: (url: AnyHttpUrl, window_size: WindowSize | None = WindowSize(width=1920, height=1080), wait_before_scroll: int | None = 1, wait_after_scroll: int | None = 1) -> Coroutine[Any, Any, Result]

Example:

import asyncio
from pprint import pprint

from ecoindex.scraper import EcoindexScraper

pprint(
    asyncio.run(
        EcoindexScraper(url="http://ecoindex.fr").get_page_analysis()
    )
)

Result example:

Result(width=1920, height=1080, url=AnyHttpUrl('http://ecoindex.fr', ), size=549.253, nodes=52, requests=12, grade='A', score=90.0, ges=1.2, water=1.8, ecoindex_version='5.0.0', date=datetime.datetime(2022, 9, 12, 10, 54, 46, 773443), page_type=None)

Default behaviour: By default, the page analysis simulates:

  • Window size of 1920x1080 pixels (can be set with parameter window_size)
  • Wait for 1 second when page is loaded (can be set with parameter wait_before_scroll)
  • Scroll to the bottom of the page (if it is possible)
  • Wait for 1 second after having scrolled to the bottom of the page (can be set with parameter wait_after_scroll)

Get a page analysis and generate a screenshot

It is possible to generate a screenshot of the analyzed page by adding a ScreenShot property to the EcoindexScraper object. You have to define an id (can be a string, but it is recommended to use a unique id) and a path to the screenshot file (if the folder does not exist, it will be created).

import asyncio
from pprint import pprint
from uuid import uuid1

from ecoindex.models import ScreenShot
from ecoindex.scrap import EcoindexScraper

pprint(
    asyncio.run(
        EcoindexScraper(
            url="http://www.ecoindex.fr/",
            screenshot=ScreenShot(id=str(uuid1()), folder="./screenshots"),
        )
        .get_page_analysis()
    )
)

Async analysis

You can also run the analysis asynchronously:

import asyncio
from concurrent.futures import ThreadPoolExecutor, as_completed

from ecoindex.scrap import EcoindexScraper

def run_page_analysis(url):
    return asyncio.run(
        EcoindexScraper(url=url)
        .get_page_analysis()
    )


with ThreadPoolExecutor(max_workers=8) as executor:
    future_to_analysis = {}

    url = "https://www.ecoindex.fr"

    for i in range(10):
        future_to_analysis[
            executor.submit(
                run_page_analysis,
                url,
            )
        ] = (url)

    for future in as_completed(future_to_analysis):
        try:
            print(future.result())
        except Exception as e:
            print(e)

Get requests details from an analysis

You can get the details of the requests made by the page by calling the function get_all_requests() and also get the aggregation of requests by category by calling the function get_requests_by_category():

import asyncio
from pprint import pprint

from ecoindex.scraper import EcoindexScraper

scraper = EcoindexScraper(url="http://www.ecoindex.fr")

result = asyncio.run(scraper.get_page_analysis())
all_requests = asyncio.run(scraper.get_all_requests())
requests_by_category = asyncio.run(scraper.get_requests_by_category())

pprint([request.model_dump() for request in all_requests])
# [{'category': 'html',
#   'mime_type': 'text/html; charset=iso-8859-1',
#   'size': 475.0,
#   'status': 301,
#   'url': 'http://www.ecoindex.fr/'},
#  {'category': 'html',
#   'mime_type': 'text/html',
#   'size': 7772.0,
#   'status': 200,
#   'url': 'https://www.ecoindex.fr/'},
#  {'category': 'css',
#   'mime_type': 'text/css',
#   'size': 9631.0,
#   'status': 200,
#   'url': 'https://www.ecoindex.fr/css/bundle.min.d38033feecefa0352173204171412aec01f58eee728df0ac5c917a396ca0bc14.css'},
#  {'category': 'javascript',
#   'mime_type': 'application/javascript',
#   'size': 9823.0,
#   'status': 200,
#   'url': 'https://www.ecoindex.fr/fr/js/bundle.8781a9ae8d87b4ebaa689167fc17b7d71193cf514eb8bb40aac9bf4548e14533.js'},
#  {'category': 'other',
#   'mime_type': 'x-unknown',
#   'size': 892.0,
#   'status': 200,
#   'url': 'https://www.ecoindex.fr/images/logo-neutral-it.webp'},
#  {'category': 'image',
#   'mime_type': 'image/svg+xml',
#   'size': 3298.0,
#   'status': 200,
#   'url': 'https://www.ecoindex.fr/images/logo-greenit.svg'}]

pprint(requests_by_category.model_dump())
# {'css': {'total_count': 1, 'total_size': 9631.0},
#  'font': {'total_count': 0, 'total_size': 0.0},
#  'html': {'total_count': 2, 'total_size': 8247.0},
#  'image': {'total_count': 1, 'total_size': 3298.0},
#  'javascript': {'total_count': 1, 'total_size': 9823.0},
#  'other': {'total_count': 1, 'total_size': 892.0},
#  'video': {'total_count': 0, 'total_size': 0.0}}

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

ecoindex_scraper-3.16.0.tar.gz (15.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ecoindex_scraper-3.16.0-py3-none-any.whl (21.6 kB view details)

Uploaded Python 3

File details

Details for the file ecoindex_scraper-3.16.0.tar.gz.

File metadata

  • Download URL: ecoindex_scraper-3.16.0.tar.gz
  • Upload date:
  • Size: 15.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.10.20 Linux/6.17.0-1013-azure

File hashes

Hashes for ecoindex_scraper-3.16.0.tar.gz
Algorithm Hash digest
SHA256 2db1dfdfc4726b8e963c8d88ff80a8a78fbf2b5f7dded4e397903aad831c329a
MD5 d806cf59f175ec0e07400a4e219edf76
BLAKE2b-256 84a3c6443de30104c581ebef73bdea12083fd9693ecd6a2513c6f3ec13643db5

See more details on using hashes here.

File details

Details for the file ecoindex_scraper-3.16.0-py3-none-any.whl.

File metadata

  • Download URL: ecoindex_scraper-3.16.0-py3-none-any.whl
  • Upload date:
  • Size: 21.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.10.20 Linux/6.17.0-1013-azure

File hashes

Hashes for ecoindex_scraper-3.16.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c5338772033a30aee3386a1a09020e4d1d47a21e434d1b8a10996653d658e589
MD5 9c6321e99876d266c74632a567331f7a
BLAKE2b-256 edaff4a0aeadea4e5b887033de7904dc1e821f22d8aadbb0767f1c2ddc5fac7c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page