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dchrastil committed Dec 4, 2023
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# ScrapedIn
tool to scrape LinkedIn
Tool to scrape LinkedIn

This tool assists in performing reconnaissance using the LinkedIn.com website/API for red team or social engineering engagements. It performs a company specific search to extract a detailed list of employees who work for the target company. Enter the name of the target company and the tool will help determine the LinkedIn company ID, which will be used to perform the search.

**NOTE:** The tool extracts the maximum results of any search (1,000 contacts) by sendings less than 20 requests.

Output is stored as an XLSX file, however it is intended to be used with Google Spreadsheets and includes a formated report with profile pictures, etc. After importing the XLSX into Google Spreadsheets there will be a "dataset" worksheet and a "report" worksheet.

[ScrapedIn Demo.webm](https://github.com/dchrastil/ScrapedIn/assets/26440487/8827d331-5931-43c3-85d6-ec5cc9d6ddf5)

this tool assists in performing reconnaissance using the LinkedIn.com website/API. Provide a search string just as you would on the original website and let ScrapedIn do all the dirty work. Output is stored as an XLSX file, however it is intended to be used with Google Spreadsheets. After importing the XLSX into Google Spreadsheets there will be a "dataset" worksheet and a "report" worksheet.

# Sponsorship
[<img src="proxycurl.png" width=350>](https://nubela.co/proxycurl?utm_campaign=influencer_marketing&utm_source=github&utm_medium=social&utm_content=daniel_chrastil_scrapedin)
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### Disclaimer
this tool is for educational purposes only and violates LinkedIn.com's TOS. Use at your own risk.

## Screenshots

![alt tag](https://s18.postimg.org/nh7dtdkux/Screen_Shot_2018-03-29_at_7.09.04_AM.png)

![alt tag](https://s4.postimg.org/vu9izninx/Screen_Shot_2017_03_15_at_11_45_11_PM.png)

![alt tag](https://s8.postimg.org/st0h8maxx/Screen_Shot_2017_03_20_at_11_04_00_AM.png)

## How to install
`sudo apt-get install python-pip -y`
`sudo apt-get install python3-pip -y`

`sudo pip install -r requirements.txt`

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