Parseur.com

The best email parser

Emails are full of valuable data that are needed on a daily basis in practically any business. Unfortunately, manual data entry from emails is costly, inefficient and error-prone.

Parseur is a powerful yet simple email parser software that automates your data entry workflow and turns each email into data. Just point and click the text you want to extract in one of your emails, We will do the heavy lifting for you and extract text of any similar email you send us afterwards.

You can then use your parsed data in Microsoft Excel, Google Sheets and hundreds of apps like Trello, Slack, HubSpot, Salesforce, Zillow or databases like MySQL or SQL Server via our Zapier Integration.

How it works

Start with sending your first email to the address we will give you.
Then, create a parsing template based on that email highlighting data you want to capture.

After creating a template, send similar emails and Parseur will parse the data from each of them using our advanced email parsing engine.

You can also send emails with different formats to the same parser and create a template for each new email format. When you have more than one template, Parseur will automatically use the one that gives the best results.

Finally, export you data where it belongs using our various integrations.

Track purchase orders

Stop the flood of emails that comes with selling products on marketplaces like Amazon FBA, Ebay, Etsy, Alibaba, Rakuten, etc. With Parseur you can transform any incoming purchase order email into a row in Excel or Google Spreadsheet.

Manage contact enquiries

Make sure all contact enquiries from your website or application form are answered. With Parseur, you can track all email requests centrally in Excel or in Google Sheets and mark them as closed once you successfully answered the client request.

Consolidate travel confirmations

Centralize all travel confirmation emails into a common format. With Parseur, you can create as many templates as suppliers (Booking, Expedia, Orbit etc.) and consolidate that data in a single data format.