CrossLinked2

crosslinked2 is a command-line utility that automates the discovery of employee email addresses by:

1. Performing Google Dork searches for LinkedIn profiles of a target company.
2. Extracting first and last names from the profile URLs.
3. Generating common email permutations based on user-defined patterns.

This tool mimics the behavior of the original crosslinked but is actively maintained and compatible with the latest googlesearch-python library.

Features

• Google Dork-based Recon: Leverage site:linkedin.com/in searches to find public LinkedIn profiles.

• Internal Pagination: Requests large result sets in one call, using sleep_interval to respect rate limits.

• Flexible Email Patterns: Define any pattern using placeholders:

  • {first}: full first name (lowercase)
  • {last}: full last name (lowercase)
  • {f}: first initial (lowercase)
  • {domain}: target email domain

• Proxy Support: Route traffic through an HTTP(S) proxy.

• CSV Export: Save generated email list to a file.

Installation

1. Clone the repository

   git clone https://github.com/<your_org>/crosslinked2.git
   cd crosslinked2

2. Create a virtual environment

   python3 -m venv venv
   source venv/bin/activate

3. Install dependencies

   pip install -r requirements.txt

Usage

./crosslinked2.py \
  -c <Company_Name> \
  -d company.com \
  -p "{first}.{last}@{domain}" "{f}{last}@{domain}" \
  -n 100 \
  -sleep 20 \
  [-x http://user:pass@host:port] \
  [-o emails.csv] \
  

Required Arguments

• -c | --company <string>: Target company name (e.g., Navarino).
• -d | --domain <string>: Email domain for permutations (e.g., navarino.com).
• -p | --pattern <patterns>: One or more email patterns. Use placeholders {first}, {last}, {f}, {domain}.

Optional Arguments

• -n | --num <int>: Total number of Google results to fetch (default: 50).
• -s | --sleep <float>: Seconds to wait between paged requests (default: 20).
• -x | --proxy <URL>: HTTP(S) proxy URL.
• -o | --out <file>: Path to CSV file for saving emails.

Examples

Basic run

python3 crosslinked2.py  --company Tesla --domain tesla.com --pattern {f}{last}@{domain}

https://www.linkedin.com/in/roshant
https://www.linkedin.com/in/westbrookmorrill
https://www.linkedin.com/in/marcusroffey
https://www.linkedin.com/in/jaimej1
https://gr.linkedin.com/in/konstantinos-xanthopoulos-067a35140
https://gr.linkedin.com/in/bourchas
https://gr.linkedin.com/in/tesla-model-520280145
https://www.linkedin.com/in/timothyer
https://www.linkedin.com/in/eddie914
https://www.linkedin.com/in/matt-reddick-4a913411
https://gr.linkedin.com/in/konstantinos-deligiannis-9859b6202
https://gr.linkedin.com/in/stathis-laios-059a831a
https://www.linkedin.com/in/colinbreck
https://www.linkedin.com/in/nageshsaldi
https://www.linkedin.com/in/javier-verdura-4689521
https://www.linkedin.com/in/troyjones2
https://www.linkedin.com/in/konstantinos-gklantzounis
[snip]
https://gr.linkedin.com/in/maria-chamilaki
https://www.linkedin.com/in/eashokkumar
https://www.linkedin.com/in/kiranrak
https://gr.linkedin.com/in/giorgos-panagiotidis-287b94133

Generating emails from profiles...

Total emails generated: 46
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[snip]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]

Use this tool responsibly and only against targets for which you have explicit permission. Unauthorized scraping of Google or LinkedIn profiles may violate their terms of service.