> ## Documentation Index
> Fetch the complete documentation index at: https://docs.manypi.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Scan a page or a website

> Pull names, titles, emails and phone numbers out of a company's site.

Open a company's website, open the ManyPI panel, and pick one:

* **Scan website** reads the site: up to **30 pages**, or **100** on Deep
  (Settings → Scanning). Contact, team, Impressum, about and leadership pages
  come first, in English and German. It stops early once those are read and
  new pages stop turning up new people.
* **This page only** reads the page you are on, including pages built with
  JavaScript.

Contacts appear while it reads. If pages are left when it stops, **Scan more
pages** carries on where it ended.

## What you get

Each contact shows a name, title, email and phone number where the site
published them, grouped by company.

| Type | Meaning |
| - | - |
| **Personal** | A person's own address, found on the site. |
| **Inbox** | A shared address such as info@ or hello\@. |
| **Guess** | Worked out from the company's naming pattern (for example `first.last@`). Not confirmed: verify it before you send. |

Titles like *Dr.*, *Mag.* or *MBA* are taken out of names and kept with the
contact, so guesses use the person's real name.

## What it reads, and what it skips

* It respects each site's `robots.txt`.
* It skips pages behind a login and cookie walls, and says how many.
* It never opens LinkedIn or Meta pages.
* An agency's address in a site's footer is filed under that agency, not
  under the company you are scanning.

> [!TIP]
>
> Guessed addresses are a starting point. Run them through
> [email verification](https://docs.manypi.com/leads/email-validation.md) before a campaign.


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