# CrossLinked | Tool to Extract Valid Employee Names From LinkedIn Through Search Engine Scraping

**URL:** <https://onehack.st/t/crosslinked-tool-to-extract-valid-employee-names-from-linkedin-through-search-engine-scraping/194219>\
**Category:** Tools & Scripts\
**Tags:** seo, tools, hacking\
**Created:** [July 18, 2021, 12:24pm UTC](https://onehack.st/t/crosslinked-tool-to-extract-valid-employee-names-from-linkedin-through-search-engine-scraping/194219 "2021-07-18T12:24:22Z")\
**Posts on this page:** 3\
**Page:** 1

<div class="post-metadata">

**Author:** ![BlueHacker](https://onehack.st/user_avatar/onehack.st/bluehacker/32/174721_2.png) [@BlueHacker](https://onehack.st/u/BlueHacker)\
**Post date:** [July 18, 2021, 12:24pm UTC](https://onehack.st/t/crosslinked-tool-to-extract-valid-employee-names-from-linkedin-through-search-engine-scraping/194219/1 "2021-07-18T12:24:22Z")

</div>

![image](https://onehack.st/uploads/default/original/3X/1/b/1b029c68b8b525591a9afe73871f842944a90851.png)

CrossLinked is a LinkedIn enumeration tool that uses search engine scraping to collect valid employee names from a target organization. This technique provides accurate results without the use of API keys, credentials, or even accessing the site directly. Formats can then be applied in the command line arguments to turn these names into email addresses, domain accounts, and more.

For a full breakdown of the tool and example output, checkout:  
[https://m8r0wn.com/posts/2021/01/crosslinked.html](https://m8r0wn.com/posts/2021/01/crosslinked.html)

## Setup

git clone [https://github.com/m8r0wn/crosslinked](https://github.com/m8r0wn/crosslinked) cd crosslinked pip3 install -r requirements.txt

## Examples

_Results are written to a ‘names.txt’ file in the current directory unless specified in the command line arguments. See the [Usage](https://github.com/m8r0wn/CrossLinked#Usage) section for additional options._

python3 crosslinked.py -f ‘{first}.{last}@domain.com’ company\_name

python3 crosslinked.py -f ‘domain{f}{last}’ -t 45 -j 1 company\_name

## Usage

```auto
positional arguments:
  company_name Target company name

optional arguments:
  -h, --help show this help message and exit
  -t TIMEOUT Max timeout per search (Default=20, 0=None)
  -j JITTER Jitter between requests (Default=0)
  -v Show names and titles recovered after enumeration

Search arguments:
  -H HEADER Add Header ('name1=value1;name2=value2;')
  --search ENGINE Search Engine (Default='google,bing')
  --safe Only parse names with company in title (Reduces false positives)

Output arguments:
  -f NFORMAT Format names, ex: 'domain\{f}{last}', '{first}.{last}@domain.com'
  -o OUTFILE Change name of output file (default=names.txt

Proxy arguments:
  --proxy PROXY Proxy requests (IP:Port)
  --proxy-file PROXY Load proxies from file for rotation

```

## Proxy Support

The latest version of CrossLinked provides proxy support through the [Taser](https://github.com/m8r0wn/taser) library. Users can mask their traffic with a single proxy by adding `--proxy 127.0.0.1:8080` to the command line arguments, or use `--proxy-file proxies.txt` for rotating source addresses.

`http/https` proxies can be added in `IP:PORT` notation, while SOCKS requires a `socks4://` or `socks5://` prefix.

## GitHub:

> **[GitHub - m8sec/CrossLinked: LinkedIn enumeration tool to extract valid...](https://github.com/m8sec/CrossLinked)**
>
> LinkedIn enumeration tool to extract valid employee names from an organization through search engine scraping

---

<div class="post-metadata">

**Author:** ![booksbaba](https://onehack.st/user_avatar/onehack.st/booksbaba/32/77013_2.png) [@booksbaba](https://onehack.st/u/booksbaba)\
**Post date:** [July 18, 2021, 7:15pm UTC](https://onehack.st/t/crosslinked-tool-to-extract-valid-employee-names-from-linkedin-through-search-engine-scraping/194219/2 "2021-07-18T19:15:38Z")

</div>

Cool stuff

---

<div class="post-metadata">

**Author:** ![quick-learner](https://onehack.st/user_avatar/onehack.st/quick-learner/32/43997_2.png) [@quick-learner](https://onehack.st/u/quick-learner)\
**Post date:** [July 19, 2021, 3:20pm UTC](https://onehack.st/t/crosslinked-tool-to-extract-valid-employee-names-from-linkedin-through-search-engine-scraping/194219/3 "2021-07-19T15:20:29Z")

</div>

helpful stuff bro