The email parsing editor of a Google Sheets tool has a built-in feature to save and load customized parsing parameters, allowing users to apply similar rules to different high-volume email analysis tasks. With this feature, users can duplicate their parsing settings from one job to the next, adapting to new projects with minor revisions and saving time while maintaining consistency.
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How to reorder tabs
You can recorder your tabs so you can easily find the tab you want.
Getting started with Box to Google Drive migration
cloudHQ can be used to migrate all or just selected Box accounts to Google Drive. Single user migration: If you are looking to migrate just one Box account (either a personal or Box business account), then you just need to create a migration sync pair from an individual Box account to Google Drive account or […]
Sync your tracking and campaign stats with Google Sheets
cloudHQ can export all your tracking stats to a Google spreadsheet. And keep it in sync. So you will have a place where you can know if all your tracked emails have been opened or not, which links are clicked, location, etc.
Email parsing: Parsing Editor Overview
Export Emails to Google Sheets allows you to extract data from your email messages. Email parser rules can be configured to pull specific data fields from incoming emails. By doing so they allow you to convert an unstructured email into easy-to-handle structured data.
How to Protect Your Email Privacy
Do you want to ensure your privacy is protected in Gmail? Email Tracking Blocker automatically detects and blocks email trackers. Email Tracking Blocker is free for anyone using Gmail or an email account hosted by G Suite. Here is how to use Email Tracking Blocker (Email Privacy Protector) to block tracking of your emails: Install […]
Email parsing: Using regular expression to extract data
The “Between two lines” rule can use regular expressions.
Email parsing: How to test and preview your parsing rules
To preview you and test your parsing rules click on the Test Rules tab
Email parsing: How to parse tables in email messages
Sometimes, data you need to extract from your email message is formated as a table. For exmaple, your email messaage can look like this: When you open parsing editor to parse this email you will see tab called Tables. To extract this table, click on Tables and just hightlight table columns: Automatically find all bounced […]
Email parsing: Using regular expression in ‘match text’ fields
The “Between two lines” rule can use regular expressions.