https://github.com/teamnsrg/mida

MIDA: A Tool for Measuring the Internet
https://github.com/teamnsrg/mida

chrome chromedp crawling devtools golang web

Last synced: about 2 months ago
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MIDA: A Tool for Measuring the Internet

• Host: GitHub
• URL: https://github.com/teamnsrg/mida
• Owner: teamnsrg
• License: mit
• Created: 2018-12-18T16:20:04.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2023-03-07T02:37:22.000Z (over 1 year ago)
• Last Synced: 2024-07-27T03:35:36.516Z (about 2 months ago)
• Topics: chrome, chromedp, crawling, devtools, golang, web
• Language: Go
• Size: 562 KB
• Stars: 18
• Watchers: 9
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# MIDA: A Tool for Measuring the Web

[![Go](https://github.com/teamnsrg/mida/actions/workflows/go.yml/badge.svg)](https://github.com/teamnsrg/mida/actions/workflows/go.yml)

[![Go Report Card](https://goreportcard.com/badge/github.com/teamnsrg/mida)](https://goreportcard.com/report/github.com/teamnsrg/mida)

MIDA is meant to be a general tool for web measurement projects. It is built in Go 

on top of Chrome/Chromium and the DevTools protocol, giving it a realistic vantage point

to study the web and fine-grained access to information provided by Chrome Developer Tools.

---

## Getting Started

Getting started with MIDA is easy! First, install:

```bash

$ wget files.mida.sprai.org/setup.py

$ sudo python3 setup.py 

```

Now we are ready to visit a site and collect some data:

```bash

$ mida go example.org

```

You can find the results of your crawl in the `results/` directory.

## Easy At-Scale Crawling

One major benefit of MIDA is in being able to run large scale, highly configurable crawls

without needing to write your own crawler code. Here's an example of a single MIDA command which

will crawl the Alexa Top 100K and gather a few specific types of data:

```bash

$ mida go -f https://files.mida.sprai.org/toplists/alexa.lst -n100000 -c8 --all-resources --screenshot --dom

```

Breaking this down by argument:

`-f https://files.mida.sprai.org/toplists/alexa.lst`: This is a list of the Alexa Top Websites.

You can read from a local file or go get one hosted on the web somewhere

`-n100000`: Read the top 100,000 entries from the list

`-c8`: Run with 8 parallel crawlers (browser instances)

`--all-resources`: Gather all of the actual files/resources required to render the web page.

Beware, this takes a lot of space!

`--screenshot`: Capture a screenshot after/if the load event for each website fires.

`--dom`: Capture a JSON representation of the DOM for each website visited.