Mass Wappalyzer

Run Wappalyzer asynchronously on a list of URLs and generate a Excel file containing all results.

The generated Excel file will have 2 sheets.

First sheet contains one column per technology seen and one row per analyzed website, additionnaly, a "Url" column will aways be present.

Second sheet contains one column per analyzed website and one row per seen technology.

CSV and JSON format are also supported.

Install

Install Python module

python3 -m pip install -U git+https://github.com/tristanlatr/MassWappalyzer.git

Requirements

• Wappalyzer CLI if you want to use the official Javascript Wappalyzer CLI (shows more details and configurable with --wappalyzerargs)

  • Docker, pull image with docker pull wappalyzer/cli

  • NPM, install with npm i -g wappalyzer

• None if you use the full-python Wappalyzer implementation: python-Wappalyzer

MassWappalyzer should detect if Wappalyzer CLI is installed and use appropriate implementation

Usage

python3 -m masswappalyzer -i sample/top-20-websites-2020.txt -o sample/top-20-websites-2020.xlsx

Output:

Mass Wappalyzer
Using wappalyzer/cli: docker run --rm wappalyzer/cli
Analyzing...: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:46<00:00,  2.31s/it]
All technologies seen: 
['AWSCertificateManager', 'Akamai', 'AkamaiBotManager', 'AmazonCloudfront', 'AmazonWebServices', 'Apache', 'AppleSignin', 'Babel', 'Bootstrap', 'BugSnag', 'CartFunctionality', 'DigiCert', 'DoubleClickforPublishersDFP', 'Envoy', 'Express', 'Facebook', 'FacebookSignin', 'Fastly', 'GoogleAnalytics', 'GoogleFontAPI', 'GoogleSignin', 'GoogleTagManager', 'GoogleWorkspace', 'Hammerjs', 'Hoganjs', 'Lodash', 'MediaWiki', 'Microsoft365', 'MobX', 'Nextjs', 'Nginx', 'Nodejs', 'OneTrust', 'PHP', 'Polyfill', 'Polymer', 'Prebid', 'Python', 'React', 'Reddit', 'RequireJS', 'Sentry', 'Sizmek', 'Stripe', 'Underscorejs', 'Varnish', 'YouTube', 'Zipkin', 'comScore', 'jQuery', 'reCAPTCHA', 'webpack']
Creating Excel file sample/top-20-websites-2020.xlsx
Done

Excel file

Full help

usage: python3 -m masswappalyzer [-h] -i Input file [-o Output file]
                                 [-f Format] [-w Wappalyzer path]
                                 [-c Wappalyzer arguments] [-a Number] [-p]
                                 [-v]

Run Wappalyzer asynchronously on a list of URLs and generate a Excel file
containing all results.

optional arguments:
  -h, --help            show this help message and exit
  -i Input file, --inputfile Input file
                        Input file, the file must contain 1 host URL per line.
                        (default: None)
  -o Output file, --outputfile Output file
                        Output file containning all Wappalyzer informations.
                        (default: MassWappalyzerResults)
  -f Format, --outputformat Format
                        Indicate output format. Choices: 'xlsx', 'csv',
                        'json'. (default: xlsx)
  -w Wappalyzer path, --wappalyzerpath Wappalyzer path
                        Indicate the path to the Wappalyzer CLI executable.
                        Auto detect by default. Use "python-Wappalyzer" if
                        Wappalyzer CLI not found. (default: None)
  -c Wappalyzer arguments, --wappalyzerargs Wappalyzer arguments
                        Indicate the arguments of the Wappalyzer CLI command
                        as string. Not applicable if using "python-
                        Wappalyzer". (default: --pretty --probe --user-
                        agent="Mozilla/5.0")
  -a Number, --asynch_workers Number
                        Number of websites to analyze at the same time
                        (default: 5)
  -p, --python          Use full Python Wappalyzer implementation "python-
                        Wappalyzer" even if Wappalyzer CLI is installed with
                        NPM or docker. (default: False)