# Search Engine Operators ## Overview Search engines are great first steps for looking into an organization or person. Different kinds of "operators" can be use to narrow down results making information gathering easier. ## Search Engines * Google * DuckDuckGo * Bing * Yandex * Baidu ## Operators Only results from a **single website** ``` Yale calculus site:reddit.com ``` **AND** & **OR** operators ``` Yale AND calculus site:reddit.com ``` ``` Yale OR calculus site:reddit.com ``` Only results with this **specific** string, in the order exactly ``` "Yale calculus" site:reddit.com ``` The three put together ``` Yale AND calculus AND "professor james" site:reddit.com ``` Using **wildcards \*** ``` "heath adams" the * mentor ``` Hunting down passwords ``` site:tesla.com password ``` ``` site:tesla.com filetype:pdf password site:tesla.com filetype:xlsx pass site:tesla.com filetype:docx credentials ``` ``` "tesla.com" filetype:xlsx password ``` Finding subdomains using the **-(minus)** operator ``` site:tesla.com -www ``` ``` site:tesla.com -www -forums ``` Find keywords in text, URL or title ``` "Kevin Hart" site:twitter.com intext:tall ``` ``` "Kevin Hart" inurl:tall ``` ``` "Kevin Hart" intitle:tall ``` {% embed url="" %} {% embed url="" %} Operator Cheatsheet {% endembed %} --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://pnpt.adot8.com/osint-fundamentals/search-engine-operators.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.