Then you'll set up a Zap, our term for an automated workflow, which is what will send that information to whatever other app you want-you can choose from thousands of apps. You won't find many advanced features here-you can't scrape the contents of email attachments, for example. Send a few sample emails, then highlight and name the information you'd like to scrape from future emails. You can forward emails to that address, either manually or using something like Gmail's filter system. Get started with Email Parser by Zapier, and you can set up as many mailboxes as you want, each with its own email address. If you're already paying for Zapier, even better. But if email parsing is just one of many automations you'll use, it gets the job done. But I'm not going to pretend this is the most powerful email parsing tool here-and if you don't need the other solutions Zapier offers, it might not be right for you. This is a Zapier product in a Zapier blog post, so I understand if you're skeptical about my ability to be neutral. For example, you could add things to a Google Sheet, create new subscribers in Mailchimp, or even get notifications about new scraped emails in Slack.
Mailparser integrates with Zapier, which means you can send the parsed data to thousands of apps as soon as the emails come in.
#Python email parser how to
If you've never used an email parsing service, and don't know how to get started, this is the tool you should check out first. But to me, the stand-out feature here is how straightforward the user interface is. It can also parse attachments-PDF, XLS, CSV, TXT, and XML files can all be scraped. Mailparser can parse the subject, body, recipients, and headers for every email. It's not going to be perfect every time, obviously, but if you're trying to extract something like a receipt, it does a pretty good job on its own. Forward a few emails to that address, and Mailparser will guess which information you might want to pull out. You set up an inbox, which has its own custom email address. Mailparser is pretty good at making the process seem simple, and that's impressive. Here are the apps I think worked best.Įmail parsing isn't simple, exactly-you need to train a computer to look at an email and pull out the exact bits of data you want. In some cases, I found apps that offered similar features and quality at different price points, and in those instances, I favored the more affordable option. The best ones, though, can send data to the other applications you already use.
#Python email parser download
Some people are going to want to download a spreadsheet every now and then, and most of the apps in this category offer that. Email scraping services mean you don't have to, so the best ones need to be user-friendly. You could, with enough time or resources, build custom scripts to do this job for you. They're easy, or at least manageable, to set up. This can be done using custom rules, using templates offered by the app itself, or in some cases by automatically scanning all incoming emails for particular data. The best email parsing apps meet the following criteria (and some go above and beyond). I tested every email parsing app I could get my hands on and selected the best ones.
#Python email parser windows
Mailparser for quickly setting up powerful email parsing rulesĮmail Parser by Zapier for an entry-level parser for Zapier usersĮmail Parser for a native Windows email parsing tool Not sure what you'd use an email parsing app for? Check out our suggestions for the best ways to use email parsing apps for some ideas.