Create a food delivery API for any food delivery app

Why create a food delivery API?

Can’t you just use the API provided by the best food delivery apps like Grubhub, Eat24, Seamless or UberEats?

Well, it’s not that simple.

For starters, there is no standard API format that all delivery platforms adhere to. And unfortunately, almost no food delivery platform provides a public API – your best bet is to pay for access.

Even if you envision a product that could revolutionize food delivery or restaurant management, you’ll be left without access to a single open food delivery API.

But what if there was work around?

In this post, we’ll show you how Nanonets can help you build a food delivery API by extracting delivery email data.

Use cases for the feed API

The Food Delivery API can be used to power a variety of services, here are some examples:

1. Provide restaurants with data analytics and insights so they can make better decisions based on order types, popular foods, customer demographics, and more. trends. Food delivery apps typically don’t share such information.
2. Optimizing or managing a delivery fleet that receives orders from multiple restaurants or food delivery apps.
3. Powerful cloud kitchens that can access restaurants.
4. Create an integrated platform for restaurants to receive and fulfill orders across delivery platforms.
5. Let dark stores or fulfillment centers anticipate demand and deliver groceries to restaurants on time.
6. Remove phone numbers or contact information from delivery emails.

Using Nanonets to Build Custom API for Food Delivery

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. The extracted data can be sent or integrated into any business application of your choice.

To build your own feed delivery API, you’ll build a custom email parser with Nanonets to scan all feed delivery emails.

This food delivery email extractor extracts specific data from delivery emails sent by various apps (Grubhub, Eat24, Seamless or UberEats). And this data can be used to power your API.

Build your own food delivery API with Nanonets. Analyze food delivery emails and automate your workflows.

How to Analyze Food Delivery Emails with Nanonets

Follow these steps to create your own feed delivery email parser and send the data 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.

Take it

Too bad there isn’t a single API that can work across food delivery apps.

But you can still power your own feed API with an intelligent data parser like Nanonets and some integrations.

Nanonets can achieve this by extracting data from deliverable emails. Nanonets Email Parser can be used to extract information from all types of email – eg. Export Outlook emails to Excel or extract data from email attachments.