Mailing addresses are one of the more underused fields in B2B contact data, and one of the harder ones to collect at scale. Most contact databases have phone numbers and email addresses for their best contacts, but far fewer have verified office-level mailing addresses, and the addresses that do exist are often outdated or captured at the wrong level of specificity. This guide covers where address data can be found in email signatures, where it tends to be most useful, and what to expect from extracting it.

Most professionals include a LinkedIn profile URL in their email signature, but almost no one captures that data systematically. This guide covers how LinkedIn profile URLs can be extracted from email signatures across Outlook, Gmail, and Office 365, the formats this data commonly appears in, and what it supports once captured.

Every calendar invite, sent or received, includes the name and email address of each attendee, and across a team's full meeting history this can amount to hundreds or thousands of contacts that exist nowhere in a CRM or contact list. Many of these people never sent an email directly, so they are invisible to extraction methods that only process email. This guide covers how contact data can be captured from calendar meetings instead, across Gmail, Google Calendar, Outlook, and Office 365.

Extracting contacts from Outlook can mean several different things depending on the goal, from a quick one-time export of a saved address book to building a complete, enriched contact database from years of email and calendar history. This guide compares the main categories of tools available for this task and where each one tends to fit.

Every email, signature, and Google Calendar invite in a Gmail inbox contains names, email addresses, phone numbers, and job titles that most Gmail users have never organized or exported. This guide covers what Google's native tools can do for personal Gmail and Google Workspace accounts, where they fall short, and how a more complete extraction can capture signatures and calendar data as well.

Outlook stores years of contact data accumulated through normal email activity, but extracting it in a clean, usable format takes more than Outlook's built-in tools. Here is what native export can do, where it falls short, and how to pull complete, enriched contact profiles, including signatures and calendar meetings, from an entire Outlook history.

Job titles drive B2B segmentation, but inconsistent formatting and constant role changes make them notoriously hard to keep accurate. This guide covers what makes title extraction difficult and how classifying titles by seniority and department turns raw signature text into segment-ready data.

Extracting contact data from a few email signatures is easy, but doing it reliably across thousands of emails and years of history is a different challenge entirely. This guide breaks down why signature parsing gets hard at scale and what it takes to turn messy signature text into clean, deduplicated contact records.

Most CRMs are full of names and emails but missing the phone numbers that actually matter, especially direct lines and cell numbers. This guide looks at why phone data decays so quickly and how extracting numbers directly from email signatures keeps contact records current.