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Web Services For The JavaScript Developer, First Edition

I am pleased to announce the release of my first ever eBook titled, Web Services for the JavaScript Developer, which focuses on the development of REST and GraphQL APIs using JavaScript, Node.js, and various frameworks.

The book was designed to help make you successful at modeling and validating your data, designing queries, and anything related to creating web services.

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Developing A RESTful API With Node.js And MongoDB Atlas

Most modern web applications need to be able to handle data consumption requests and data manipulation requests from clients using HTTP. It is the norm to pass JSON data between these requests so it makes sense to use a NoSQL document database because JSON and similar is the common storage format, eliminating the need to marshal data to new formats in every request.

Lucky for us, leveraging these concepts and technologies is not a difficult task.

We’re going to see how to create a RESTful API using Node.js and Express Framework that communicates to a cloud instance of MongoDB called Atlas.

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Convert Data Between CSV And JSON With Simple JavaScript

A popular subject on the blog has always been around the conversion of one data format to another data format. For example we’ve already seen how to convert XML data to JSON data with JavaScript, but what if we wanted to work with comma separated value (CSV) data instead?

We’re going to see how to take a CSV file, parse it into JSON, make some changes, and then convert it back into a CSV file using Node.js and a few readily available packages.

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Simple Data Processing With JavaScript And The HERE API

Have you ever needed to work with comma separated value (CSV) data that wasn’t formatted in a great way or figure out complete address information based on very little provided address information? While unrelated, these two topics come up quite a bit, more frequently when I’m dealing with person information or lead data that I retrieve from conferences and other events.

The great thing is that we live in a time where plenty of development libraries and services exist to make this process of data parsing and manipulation easy to accomplish in an automated fashion.

We’re going to see how to take a CSV file representing partially complete people data and convert it to JSON. Then we’re going to fill in the gaps when it comes to the geolocation side of things, using the HERE Geocoder API.

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Protect GraphQL Properties With JWT In A Node.js Application

So you started playing around with GraphQL and Node.js. Did you happen to get up to speed with my previous tutorial titled, Getting Started with GraphQL Development Using Node.js? Regardless on how you’ve jumped into GraphQL, you’re probably at a time where you need to figure out how to protect certain queries or pieces of data from the general public through some kind of permissions or roles.

When building a RESTful API, the common approach to endpoint protection is with JSON web tokens (JWT). In fact, I even wrote a previous tutorial on the subject, but how does that have relevance to GraphQL?

We’re going to take the common JWT approach and apply it towards protecting queries as well as particular pieces of data in a GraphQL API created with Node.js.

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Getting Started With GraphQL Development Using Node.js

I’ve been playing around with GraphQL for a little over a month now, just to see if it is worth all the buzz it has been getting when it comes to modern API development. I must say that the more I use it, the more I’m coming to like it.

I recently wrote a few tutorials around getting started with GraphQL using Golang, but being the polyglot that I am, I wanted to see how difficult it would be to accomplish the same in something else, like Node.js. After having made an attempt, I found that it really isn’t any different as it is the same concept, just a different language.

We’re going to see how to get started with developing a web application with Node.js that can be queried with GraphQL rather than the traditional RESTful API endpoint approach.

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Scraping Paginated Lists With Node.js, Cheerio, Async / Await, And Recursion

In this tutorial we are going to develop a small Node.js application which will be used to scrape paginated content and export the data to a JSON file. The full source code for the tutorial can be found here.

We will be scraping a list website and saving ten lists per page from the “new lists” section and the final application can be seen below.

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