Extracting Reddit Data to Airtable Using Byteline’s No-Code Platform

Extracting Reddit Data to Airtable Using Byteline's No-Code Platform
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Introduction

In the world of information exchange, nerds and nitwits love Reddit alike. The popularity of Reddit is not only because of being an infinite source of user-generated content for pretty much every field of human knowledge, but also for the fact that Reddit manages spam unlike any other social media channels.

The prominence of Reddit is apparent with its sheer number of users who not only access informative content by visiting the site, but also extract that info to be used with another source. To do so, Reddit offers an API that can be used to pull subreddit data of posts, comments, media, and votes. Though it sounds like a great idea, often there are challenges to convert the API skeleton into a full-fledged data churning machine. This is usually because using the Reddit API requires decent technical development skills before actually starting to use it for data extraction. 

In this article today, we are covering the solution of how Byteline’s no-code platform can be used to pull data through the Reddit API without writing a single line of code. While Byteline offers an out-of-the-box solution of extracting Reddit data to export into a wide list of applications, we are considering a use-case of importing the fetched data into an Airtable Base for this article. 

For the uninitiated, Airtable is a popular no-code database that is steadily gaining popularity as a data organizing tool – simple like a spreadsheet, with features of a relational database. 

Byteline offers a No-Code Airtable Upsert (Update and Insert) service which you may use to pull data from an external source, and then feed it into your Airtable base. It intelligently figures out whether to update or insert a record without requiring any user input. For items requiring an update, it automatically figures out the record ID. Compare this to a complicated no-code logic required in other no-code platforms to figure out the right Item ID to update. All this, without writing a single line of code!

To understand this better, let us simplify the sources involved in the workflow – 

Data Source – Reddit

Data Extraction and API Handling – Reddit API through Byteline’s No-Code Platform

Data Publish Target – Airtable

Here are the list of a few simple steps that you can use to extract data from subreddits, and then publish on an Airtable base.

Fetching Reddit data

The first step to get started is to configure the API that will be used to pull data from Reddit. Byteline allows you to configure the Reddit API through its Flow Designer, using a simple user interface without writing a single line of code. To know more on the list of Byteline’s list of integrations and features, click here.

Quick Tip – Byteline’s Flow is a logical flow of steps with easy to use buttons for quick configuration.

Step – 1: Start with creating a flowing design that has the HTTP API as the first (trigger) node and Reddit node as the second. Here is detailed information on HTTP trigger nodes.

For more detail on creating Byteline’s Flow Designer, visit: How to Create your First Flow help doc.

Byteline flow designer - configure Reddit integration

Here the Grey indicator shows that the Reddit node is not configured, that we will configure in the steps to follow.

Step – 2: Click on Edit button of the Reddit node for configuration.

Byteline flow designer - edit Reddit node

Step – 3: Click on Sign-in button of the configuration window to connect your Reddit account with the node to fetch data. This will open Reddit authentication page in another browser tab.

Byteline - SignIn for Reddit integration

Step – 4: Once logged into your Reddit account, click on the Refresh button to update the connection status. Enter the Subreddit name you want to access in the text field of the configuration window as shown.

Step – 5: Once done, click on Save button to save the Reddit node’s configuration.

Byteline flow designer - save subreddit

The green indicators shows the Reddit node is configured successfully.

Byteline flow designer - Reddit green light

Step – 6: Hit the Deploy button at the top-left corner of the console to deploy the flow created.

Byteline flow designer - deploy flows

Step – 7: As the last step of this part of the flow, click on the Run button to execute the flow. Even though you will run your flow from different sources, it can be tested from the flow designer to make sure its functionality is working fine. With this, the Flow Designer is configured with the Reddit node to start extracting data through the HTTP API trigger.  

Byteline flow designer - run flows

Pushing Reddit data to Airtable

Once the initial stage of Flow Designer is configured, the next stage is to push the extracted Reddit data to Airtable records.

Quick Tip: Byteline offers a no-code integration solution with multiple platforms, including WebFlow, Airtable, etc. If you have a specific platform with which you would like Byteline to integrate with, leave us a request here.

Step – 1: Add Airtable node to the existing flow.

Byteline flow designer - add Airtable node

Step – 2: Once the Airtable node is added, the Grey indicator on the Airtable node shows that the node is not yet configured. To configure the node, hit the edit button of the Airtable -Upsert node for configuration.

Byteline flow designer - add and configure node

Step – 3: Enter the Base IdTable name and View in the text field of the Airtable configuration window.

Byteline flow designer - configure Airtable node

Quick Tip: To find details of your Airtable Base, please refer the image below: 

Get AIrtable base id

Step – 4: Once details of your Airtable Base have been entered, click on the loop over checkbox to apply the loop to a JSON array. Refer to our loop over documentation to understand this concept.

Byteline flow - loop over

Step – 5:  Click on Select Variable Tool to view the data model.

Byteline select variable tool

Step – 6: Click on Grey button of an array to pick the path.

Quick Tip: This is an important step to note and select the variables that you want to pull into the workflow. Here is the documentation on understanding flow variables.

Byteline flow designer - using select variable tool

Step – 7: Enter the JSON array path in the loop over text field to execute loop over the array.

Byteline flow designer - loop over

Step – 8: Enter the variable in the text field with the syntax @.data.created | datetime. Here, @ is used to fetch the current value of the variable and I pipe converter is used to convert data to acceptable format.

Byteline flow designer - field mapper

Step – 9: Click on Save button to save the Airtable configuration. Once done, the Green indicator shows that the Airtable node is configured successfully. You can now test this flow by deploying and running as we did in the previous section of configuring the Reddit node.

Byteline flow designer - nodes configured

Step – 10: Before you can use the Airtable node, you need to configure the API Key to access your Airtable account. You can follow the steps here to do that. The connection page screenshot is below.

Byteline - configure Airtable API key

With this, your Byteline Flow Designer is now fully setup to fetch data from the Reddit and add or update into Airtable Base records.

Conclusion

In this article today, we covered how one can use Byteline’s Reddit API to extract and feed into an Airtable Base. While there might be numerous use-cases of doing so, the reason is always the same – which is to leverage Reddit’s vast amount of informational content.

While Reddit is known for its user-generated stories, Airtable is a unique platform that blends the features of a spreadsheet and database. To connect both of these together, Byteline through its no-code platform helps you generate an extract-to-load workflow in a few simple steps without writing a single line of code.

This article was originally published on https://www.byteline.io/blog/extracting-reddit-data-to-airtable and has been authorized by Byteline for a republish.

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