parseword/massfetcher

A multithreaded utility to retrieve a page or file from numerous websites

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github.com/parseword/massfetcher

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v1.0.1 2019-06-26 03:33 UTC

Requires

Apache-2.0 f5554f0662ecc6c693682949472ba642bbb6986d

phpspidermultithreaded

This package is auto-updated.

Last update: 2024-12-26 15:52:48 UTC

README

MassFetcher is a multithreaded HTTP GET request utility. Give it a path to request, and a giant list of domains to request it from. Retrieved files are saved to disk (subject to configuration parameters). You may find MassFetcher useful if you want to perform various types of web analysis:

  • Gauge the average size of web index pages

  • Determine the popularity of specific code libraries, meta tags, etc.

  • Inspect lots of ads.txt files looking for new ad networks to block

  • Find out how quickly (or not) a proposal like ./well-known/security.txt is being implemented

MassFetcher will go get the data; doing something with it is up to you.

Requirements

  • PHP >= 7.1, with

  • The pthreads extension, either compiled-in or enabled as a module, and

  • The curl extension, either compiled-in or enabled as a module

  • Composer

Installation

Clone this repository to a new directory and then run composer install. This will pull in the dependency (a logger) and set up the autoloader.

Copy config.php-dist to config.php.

Usage

Configure your settings inside config.php. Here you can set the target URI path you want to request, along with a bunch of options to modify MassFetcher's behavior. The options are explained in the comments.

Supply your list of target hosts in a file called domains.txt. The Alexa Top 1M list may come in handy, but do some small test runs first!

Run php fetcher.php to execute MassFetcher.

Retrieved files will be saved to a directory (defaults to data) in a series of hierarchical subdirectories.

The repository ships with a sample domains.txt containing 100 hostnames, a a config that will request /ads.txt from all of them, and the logger set to debug level. You should probably run once using these defaults, then examine the output.log file to see what's going on under the hood.

Resources and Performance

Performance will vary depending upon your hardware, internet connection, and configuration settings. Broadly speaking, with 64 threads I've averaged around 1,000 requests per minute from various commodity cloud instances.

MassFetcher may use significantly more bandwidth and disk space than you expect. Due to error pages, redirects, and oddly-configured servers, you're going to get plenty of junk data.

For instance, suppose you request /ads.txt:

  • telegram.org replies with "200 OK" but sends their index page instead.

  • booking.com properly sends a 404 response, but it weighs in at a hefty 300KB.

  • whatsapp.com redirects to its 600KB index page.

Some of MassFetcher's settings can help mitigate junk data. In particular, the strict filename matching option will only write a fetched file to disk if the final destination URI, after all redirects, has the same base filename that you requested.

You should do some small test runs whenever you change configuration, before launching into an enormous fetch job.