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Check if a URL is reachable

Project description

Reachable checks if a URL exists and is reachable.

Features

  • Use HEADrequest instead of GET to save some bandwidth
  • Follow redirects
  • Handle local redirects (without full URL in location header)
  • Record all the URLs of the redirection chain
  • Check if redirected URL match the TLD of source URL
  • Detect Cloudflare protection
  • Avoid basic bot detectors
    • Use randome Chrome user agent
    • Wait between consecutive requests to the same host
    • Include Host header
  • Use of HTTP/2
  • Detect parking domains

Installation

You can install it with pip :

pip install reachable

Or clone this repository and simply run :

cd reachable/
pip install -e .

Usage

Simple URL

from reachable import is_reachable
result = is_reachable("https://google.com")

The output will look like this:

{
    "original_url": "https://google.com",
    "final_url": "https://www.google.com/",
    "response": null, 
    "status_code": 200,
    "success": true,
    "error_name": null,
    "cloudflare_protection": false,
    "redirect": {
        "chain": ["https://www.google.com/"],
        "final_url": "https://www.google.com/",
        "tld_match": true
    }
}

Multiple URLs

from reachable import is_reachable
result = is_reachable(["https://google.com", "http://bing.com"])

The output will look like this:

[
    {
        "original_url": "https://google.com",
        "final_url": "https://www.google.com/",
        "response": null, 
        "status_code": 200,
        "success": true,
        "error_name": null,
        "cloudflare_protection": false,
        "redirect": {
            "chain": ["https://www.google.com/"],
            "final_url": "https://www.google.com/",
            "tld_match": true
        }
    },
    {
        "original_url": "http://bing.com",
        "final_url": "https://www.bing.com/?toWww=1&redig=16A78C94",
        "response": null,
        "status_code": 200,
        "success": true,
        "error_name": null,
        "cloudflare_protection": false,
        "redirect": {
            "chain": ["https://www.bing.com:443/?toWww=1&redig=16A78C94"],
            "final_url": "https://www.bing.com/?toWww=1&redig=16A78C94",
            "tld_match": true
        }
    }
]

Async

import asyncio
from reachable import is_reachable_async

result = asyncio.run(is_reachable_async("https://google.com"))

or

import asyncio
from reachable import is_reachable_async

urls = ["https://google.com", "https://bing.com"]

try:
    loop = asyncio.get_running_loop()
except RuntimeError:
    # No loop already exists so we crete one
    loop = asyncio.new_event_loop()
    asyncio.set_event_loop(loop)
try:
    result = loop.run_until_complete(asyncio.gather(*[is_reachable_async(url) for url in urls]))
finally:
    loop.close()

Handling high volumes with Taskpool

If you want to process a large number of URLs (> 500) you will quickly hit the limits of your hardware and/or OS because you can only open a defined number of active connections.

To bypass this problem you can use the TaskPool class. It uses Asyncio Semaphores to limit the number of asyncio threads running. It works by acquiring a lock when starting the worker and releasing it when done. It allows to always have a number of asyncio workers without overwhelming the OS.

import asyncio

from reachable import is_reachable_async
from reachable.client import AsyncClient
from reachable.pool import TaskPool


urls = ["https://google.com", "https://bing.com"]


async def worker(url, client):
    result = await is_reachable_async(url, client=client)
    return result


async def workers_builder(urls, pool_size: int = 100):
    async with AsyncClient() as client:
        tasks = TaskPool(workers=pool_size)

        for url in urls:
            await tasks.put(worker(url, client=client))

        await tasks.join()

    return tasks._results


try:
    loop = asyncio.get_running_loop()
except RuntimeError:
    # No loop already exists so we crete one
    loop = asyncio.new_event_loop()
    asyncio.set_event_loop(loop)

try:
    result = loop.run_until_complete(workers_builder(urls))
    print(result)
finally:
    loop.close()

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