https://github.com/s41r4j/wss
[WebScrapeSite]: FAST, EASY & INSIGHTFUL Website Analysis Tool
https://github.com/s41r4j/wss
analysis analytics easy easy-to-use fast python python3 scraper terminal website whois
Last synced: 3 months ago
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[WebScrapeSite]: FAST, EASY & INSIGHTFUL Website Analysis Tool
- Host: GitHub
- URL: https://github.com/s41r4j/wss
- Owner: s41r4j
- License: mit
- Created: 2023-10-19T16:29:23.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-12T17:13:07.000Z (over 1 year ago)
- Last Synced: 2023-11-12T18:24:18.101Z (over 1 year ago)
- Topics: analysis, analytics, easy, easy-to-use, fast, python, python3, scraper, terminal, website, whois
- Language: Python
- Homepage:
- Size: 15.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
WebScrapeSite (abbreviated __wss__) is a powerful and user-friendly web scraping tool written in python3. It provides a convenient and efficient way to extract data and insights from websites quickly. Whether you're a _data analyst_, _researcher_, _developer_ or _hacker_, wss can help you gather the information you need from websites with one command. It can efficiently categorize and recover various web components such as hyperlinks, image links, JavaScript resources, stylesheet references, email addresses, whois records and much more, all with remarkable speed and accuracy.
It is equipped with flexible data export options, making it easy to save collected data in either CSV or JSON format. By default, it stores data in a CSV file, a widely accepted and human-readable format. Alternatively, you can choose to export data in JSON, a more structured format preferred by developers and applications. This adaptability ensures that you can seamlessly integrate the collected data into your analysis, research, development or attack workflows while catering to your specific requirements.
> works on linux, windows & android (termux)
## 💿 Installation:
```
git clone https://github.com/s41r4j/wss/; cd wss; pip install -r requirements.txt
```
> prerequisite: python3, pip, git, internet connection
## 🧾 Usage:
| _help menu_ | _demo target_ |
|---|---|
|
| 
|
| `python3 wss.py -h` | `python3 wss.py -u google.com` |
> collocted data is automatically stored in a file (filename in yellow)
- 🗒️ examples:
```
python3 wss.py -u example.com
python3 wss.py -u example.com/example -f json
python3 wss.py -u https://example.com/ -a
```