py-websites-scraper 0.1.2.1

Web scraper using aiohttp for efficient scraping of multiple URLs with ease

About

Scrape main content on multiple websites using Python in parallel.

You still need to use proxy if the access to the website is blocked. Read "More Parameters" section.

Dependency

• AsyncIO
• aiohttp
• Readability-lxml

How to use

pip install py-websites-scraper

Quick usage:

import asyncio
from py_websites_scraper import scrape_urls

urls = ["https://news.ycombinator.com", "https://example.com"]
data = asyncio.run(scrape_urls(urls, max_concurrency=5))
for item in data:
    if item["success"] is True:
        print(item["url"], item.get("title"), item.get("content"))
    else:
        print("Failed fetching this URL: " + item["url"])

Available key on the response:

url
success # True/False
title   # only available when it's successful
content # only available when it's successful
error   # only available when it's failed

You can always check the success value if it's true, before fetching the title or content.

More parameters

You can add any parameters for aiohttp to perform the request like headers, proxy, and more. Please check aiohttp documentation for reference.

Example:

urls = []
results = await scrape_urls(
    urls,
    proxy="YOUR_PROXY_INFO",
    headers={"User-Agent": "USER_AGENT_INFO"},
)

Limitation

• Gated content
• Dynamic generated content

How the test the package locally for Dev

Install in editable mode:

pip install -e .

Run any file that importing this package

python test_local.py