Automatically Extract
Email Addresses from Outlook or Gmail

Outlook and Gmail’s built-in export tools only export contacts you’ve manually saved. They don’t touch the email addresses buried in your actual messages, signatures, reply chains, or calendar invites. That’s where the vast majority of your contacts actually live. SigParser scans all of that automatically and builds complete contact records, including names, phone numbers, titles, and company details, not just email addresses.

About two minutes per mailbox. Connect via OAuth (no password required), choose how far back to scan, and SigParser starts immediately. There’s no software to install and no IT support needed. Most users have their first contacts ready to export within a few hours of connecting.

The free trial includes a 90-day historical scan across up to three mailboxes. No credit card is required to start. You’ll only be asked to pay if you want to scan further back in history, add more mailboxes, or subscribe for ongoing monitoring. Most users find hundreds of contacts in the free trial before deciding whether to go further.

On average, SigParser finds around 7,400 contacts per mailbox per year of email history, though results vary widely by how active the inbox is. A team of 10 sales reps scanning two years of email typically uncovers 15,600 contacts. One customer went from zero contacts to 143,000 overnight by connecting multiple accounts. Your first 90 days of history are free, so you can see your own number before committing to anything.

Yes, and that’s one of the key differences from basic extractors. SigParser pulls over 60 contact fields from email signatures and calendar invites: full name (first, middle, last), phone numbers, job title, company name, LinkedIn URL, physical address, and more. You get complete contact records, not a raw list of email addresses. Company records are also enriched with industry, employee count, and website.

Yes. SigParser supports connecting one mailbox or hundreds. When multiple accounts are connected, contacts are automatically deduplicated across all of them, so the same person appearing in five different inboxes becomes one clean, complete record. The more mailboxes you connect, the more complete your contact picture becomes.

Yes, and this is something most other tools cannot do. SigParser reads deeply nested reply chains and forwarded messages to surface contact details from earlier senders in the thread. These are often the contacts you’d never find with a basic header-only extractor, and frequently among the most valuable because they represent real business conversations.

Up to 10 years of email history. You choose the timeframe when you start: 90 days (free), 1 year, 2 years, 5 years, or 10 years. Longer scans surface contacts from relationships you may have forgotten about entirely, and those are often among the most valuable.

SigParser’s extraction accuracy is over 95% for standard email signatures. Data is automatically cleaned as it’s extracted: names split into first and last, phone numbers formatted with international codes, duplicates merged. Email addresses are validated at the extraction stage so invalid or spam addresses are flagged before they reach your export. You can manually edit any contact record if a correction is needed.

No. SigParser connects using OAuth authentication, the same secure standard used by apps like Slack, Zoom, and Salesforce to connect to Gmail and Outlook. You authorize access directly through Google or Microsoft. SigParser never sees or stores your password, and you can revoke access at any time from your email provider’s security settings.

No. SigParser reads email metadata (headers, from/to addresses, and email signatures) to extract contact information. It does not access, read, or store the body content of your emails. SigParser is SOC 2 certified and all data is encrypted at rest and in transit.

SigParser connects to Gmail, Google Workspace, Microsoft Outlook, Office 365, and any IMAP-compatible email platform. For language support, English is best-in-class. German is the next strongest, followed by solid support for Spanish, French, Portuguese, Russian, and Dutch.