Emails are the lifeline of most businesses. They contain a large amount of structured information. Email automation tools such as can help you organize and extract relevant information from incoming emails, improve workflows and facilitate better decision-making.

It is time-consuming to extract information out of emails using traditional methods. They are also prone to errors. Nanonets offers a better solution to streamline the process of email extraction, freeing teams from tedious manual tasks and generating valuable insights.

Use cases

Email data extracting is the process of automatically extracting structured information from email, attachments and other documents in a format which can be sent to software or databases. The automated process is often used by customer service teams, sales departments, and others. It can reduce processing times and allow companies to concentrate on their core business.

The first step to automate email data extract is to create a rule for parsing. A parsing guide is a list of instructions that tells your email extraction tool which information you want it to extract. You might want to extract, for example, the name and contact info of the customer as well as the nature of their question and the date of each email. Once you have created a parsing rule, the next step is to add it to your email workflow.

Once the process is configured, whenever an email with the specified information arrives in your inbox, the software will automatically extract the data and send it to the desired location. If you receive an order email, for example, the software will automatically send the details to accounting or ERP software. Alternatively, you can configure the software to directly upload the data into a spreadsheet, which you can then use for further analysis or processing.

There are many ways to extract email data, but all of them have their limitations. The manual method, for example, involves manually copying and pasting the data from each email into a sheet. This can be very time-consuming and prone to errors, especially when you need to process large volumes of emails daily. Additionally, the manual method doesn’t offer any automation capabilities.

Another option is to create a script that connects to the email server and fetches all the emails. This can be difficult to set up and maintain, and is only suitable for users with a strong understanding of computer programming.

Formats supported

Emails come in many different formats. It’s important to select an email parser which supports the format you want to extract information from. This will ensure that the email parser is able to find and parse your desired information from the email body. When setting up the email parsing rules, be sure to include all relevant fields and avoid including unnecessary information. For example, if you’re trying to parse invoices, only include the email body and date. Also, do not include replies or forwards.

Using an email parser is an effective way to streamline workflows and automate repetitive tasks. For example, if you receive an invoice via email, the email parser can automatically identify the specific data that needs to be extracted and send it directly to your accounting system. This saves time while ensuring accurate data extraction.

The email parser may also be used to identify, extract, and store the names, titles, or contact information of individual recipients in emails. This data can be imported to a CRM database or another database. This can be used to improve customer service for organizations and help them grow their business.

One of the benefits of using email extractors is that they can export data into Google Sheets. This provides a seamless integration between Gmail and Google Sheets, making it easy to organize and manage your email data. This eliminates the need to manually enter data and reduces the chance of error. It also allows for teams to work on a spreadsheet simultaneously.

Many businesses rely heavily on email for communication with their customers. These emails can contain large amounts of data, which require manual processing in order to extract, format and organize them into a usable format. Email extraction automation streamlines the process and saves time by automatically retrieving specific information from a wide variety of emails. It also reduces the risk of missing critical information by ensuring all important information is captured.

The automation of extracting data from emails is an essential tool for businesses that need to process high volumes of information on a regular basis. For example, a company that manages customer queries can utilize an automated email parsing solution to quickly transfer the query details into a ticket or CRM system. This allows the customer service representative to provide a timely response. Similarly, the sales team can automate the transfer from email to sales pipeline.

A popular option to implement automated data extraction from emails is using a programming script. This involves writing a code that connects to the email server, fetches and processes the information, and saves it to a file. This approach has limitations in that it requires some technical expertise and it must be updated manually as email structures or data needs change.

Another option for automating data extraction from emails is to use an automated email processing software that combines the power of email parsing with powerful integration capabilities. Such solutions can capture and analyze large amounts of information from multiple sources, compile it in an easily accessible data spreadsheet or CSV file, and then send it to 100’s of applications via Zapier or other integration conduit.

Create a template containing the information that you wish to capture. Create a template containing the relevant information, such as if you’re working with a classifieds website that has property listings, work orders or recruitment ads. Connect this template to both the parse JSON and create file actions in your flow. Test the flow once it is completed to ensure the desired information is captured accurately.


Emails are often the primary form of formal workplace communication and contain critical information for business operations. However, manually sorting and extracting this data can be time consuming and error-prone, and difficult to scale. Email parsers are software applications that automate this process. They allow businesses to use the data contained in their emails to streamline their workflows. This is useful for businesses who need to update their system frequently, like real estate portals, e-commerce platforms or for reporting.

Email parsing involves transforming unstructured email data into a structured format. This can be achieved using a variety of software tools, such as text processing and machine learning. Email parsing tools can also be used to analyze and integrate data with other applications. These tools are used to increase efficiency and productivity.

The email parser extracts text, images and file attachments from a variety of online sources such as websites, social networking pages, and local folders and files. It also works on a schedule, allowing it to automatically process multiple emails at a given interval. Its user-friendly interface makes it easy to use. It also has an extensive list of integrations, making it possible to connect the email parser with thousands of apps.

Nanonets is a powerful email parser which helps companies automate workflows for email processing and gain valuable insight into the data that they receive. The platform transforms limitations of traditional email data extract methods into an opportunity for growth and successful.

In addition to enhancing operational efficiency, email parsing also allows organizations to save money and resources by streamlining their processes. In the past, companies had to pay third parties for data extraction and integration. With an email parser these tasks can now be performed internally.

Email parsers can be used for many things, but two of the most popular are to create prospect lists and launch targeted marketing campaigns. Email parsing can be used by a real-estate agent to export leads from online property portals directly into their CRM system. This can increase their repurchase rate and client retention.