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Email is the preferred method of formal communication in the business world. Email often contains information that is essential to the day-to-day operations of a business.
Therefore, it is of strategic importance for any company to extract valuable information from incoming emails.
Manually sorting and extracting incoming email data can be time-consuming and error-prone – and difficult to scale.
Email extractors can help automate the work of extracting data from emails. The data obtained in this way can be stored for archives or integrated into business applications.
This article introduces the basics of email extractors and their importance in improving business workflows.
An email extractor is a scraping tool that collects emails and content from online sources such as websites, social media, email clients and search engines.
It can also search files and folders on computers and network systems to retrieve email addresses. It will extract not only the email IDs but also the relevant textual data including name, subject etc.
Data obtained by such tools can be consolidated in multiple formats. For example, data can be extracted as CSV files for input into CRM software for customer management.
Email interceptors can be online web applications such as Google Chrome Extension, Lite 1.4 and browser-based applications such as this and this. They can also be standalone desktop apps, such as Email Extractor Pro and Email Extractor App for Microsoft Outlook. Intelligent OCR tools such as Nanonets can also be used to efficiently extract data from emails.
When the email inflow is constant and heavy, the email scraper can automatically scan the inbox and extract the data periodically. This eliminates the need for human intervention
The information is extracted in a semi-structured format, meaning it can be easily sorted and searched. Email Extractor also comes with a built-in search function to help you find data easily.
Email extractors can also be used to create and send bulk emails to potential customers. Email data extracted from various sources can be linked to an email account for bulk marketing campaigns. It’s no surprise that email extractors are becoming an important component of digital marketing and sales.
The primary use of email extractors is in marketing and sales. An email extractor can extract email data in the following ways:
leading generation
Email Extractor helps us generate leads, check for duplicate data and validate contacts pulled from different sources.
Accounting
An email interceptor can analyze incoming emails for attached invoices and receipts. Analyzed data can be automatically updated to accounting software.
E-commerce order management
Once an online purchase is made, the online store or e-commerce site is required to send an automated email to the buyer and seller.
Collecting this email data can help the merchant target the customer with further promotional materials, promotions, discounts, etc. to increase repeat purchases.
Web contact forms
Many websites have web forms for customers to contact the business or leave some feedback.
Data from these forms is often sent to internal teams via email. Email recipients could read, organize and extract valuable data from all such internal web contact form emails.
An email extractor can also extract the contact information of people who have filled out forms for further marketing activities.
Performance tracking reports
Companies use online tools like Google Analytics, Blog Stats Monitor, etc. to check website traffic, sales performance, etc.
An email extractor can extract useful data from these accounts or even send them to business intelligence tools for further processing.
Food delivery email
Since there is no public feed delivery API, you can create a custom feed delivery API by extracting data from feed delivery emails.
Automate your email mining jobs with Nanonets. Analyze emails, attachments, documents, websites and more.
Nanonets is an AI-based OCR software that automates all kinds of data transformation workflows.
Nanonets can recognize and extract data from emails, email attachments, PDFs, images, documents, spreadsheets, and other types of data sources.
It can then convert the data into any semi-structured or structured format that can be integrated into CRMs such as Salesforce, ERP or any other business application.
Follow these steps to automatically extract relevant data from your email and send it wherever you want:
Create an account
Sign up to start Nanonets.
Or log in to your Nanonets account.
Select Data Parser
Depending on the type of email you want to analyze the data from, create your own data parser or choose one of Nanonets pre-built data parsers.
The pre-built data parser is an AI trained on thousands of examples of a specific data/document type.
Import your email
Next, import some emails into your data parser.
Just automatically forward your email to a dedicated Nanonets inbox or recipient address. And Nanonets will then capture all those emails in your data parser.
You can also set up automatic import of files from cloud storage, databases or connect to other sources via API.
Nanonet’s pre-built data parser extracts relevant data from email body and/or attachments in forwarded messages.
You can quickly change, review or approve the extracted data.
export or workflow automation
Complete the process by selecting your desired output format – Excel or csv (among other options).
You can also automate this entire workflow by specifying data enhancements/transformations, setting up approvals, and sending the final results to any business application of your choice.
You can export data directly to CRMs, ERPs, external databases or connect via Nanonets API.
Nanonets can also connect to any app you choose via Zapier.
Take it
Email scrapers can be used to improve process in business functions. They help save time and money that would otherwise be wasted on inefficient manual processes.
Automated email extractors like Nanonets can help increase the productivity and efficiency of email extraction workflows.
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