Many online businesses receive hundreds if not thousands of recurring emails per month. Often, those emails are filled with data which is crucial for daily operations. For example, mortgage leads coming from a lead provider, order confirmations from an online shop, sales stats, warning and error messages from a legacy IT system, etc. Clearly, having this
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.
Slack quickly dominated workplace communication tools with more than 10 million people using the application daily. And if you wonder why, their mission is nothing less than to “change the way we communicate”. Slack is an excellent tool if you want to ditch internal emails and improve communication within your team. But did you know
As you probably already know, Email Parsing is just the first step when it comes to automating your business process with Mailparser. The real magic starts once you connect Mailparser to other online apps. Once you see new contacts automatically popping up in your CRM based on data parsed by Mailparser things start to really