In 2021, the latest report from Statista said that more than 50% of the world’s population uses email (around 4.1 billion people). What’s more is that 90% of Americans over age 15 use email. The translation? Email isn’t going anywhere. Users share various data every day through email: invoices, orders, pictures, and other files–these data […]
Hurricane Harvey was bearing down on the United States with Texas directly in his sights. Homeowners were checking through their lists to ensure they were prepared, but as a Gulf Coast resident, news of storms and potential flooding is not uncommon. However, this year was different, & the storm did hit the mainland. Harvey made […]
Clients use Mailparser for various reasons: converting email to Excel, Google Sheets, using our Slack integration, among many others. But a common question asked is, “what is an email header analyzer?” What does this even mean, and is it necessary to analyze email headers? We’ll cover this and more in our article. Before we get […]
Extract repeating text blocks from e-mails is something we see very often at mailparser.io. Two prominent use-cases come to mind when it comes to parsing repeating elements:
A lot of our customers use mailparser.io to automate their e-commerce order fulfilment process. Another popular use-case is to extract contact details from e-mails, for example real-estate buyer leads which our customers receive from platforms like Trulia and Zillow. Both use-cases have one thing in common: They involve parsing, verification and normalisation of postal addresses.
Do you manually copy & paste tracking numbers from emails to other software products on a regular basis? If yes, there is good news! You can stop doing this and let Mailparser parse tracking numbers from FedEx, UPS, USPS and other sources, directly from your incoming emails.