How to Use the IMPLAN API with R: Obtaining Your API Token

Why Use the IMPLAN API?

Many analysts interact with IMPLAN through the Cloud interface, clicking through menus to create projects, add events, and run impact analyses. While this works well for many tasks, analysts working with large datasets, repeated analyses, or automated workflows often benefit from using the IMPLAN API.

An Application Programming Interface (API) allows software programs to communicate directly with a platform like IMPLAN without using the graphical interface. Instead of clicking through menus, a program such as R sends structured requests to IMPLAN’s servers and receives structured responses containing the data or results requested.

Using the API allows analysts to move beyond manual workflows and build automated, reproducible pipelines. Common use cases include:

• Automating Repeated Analyses: If you regularly run the same impact model across multiple regions or years, an API script can automate the entire process.
• Integrating IMPLAN with Other Data Workflows: The API allows IMPLAN modeling to be integrated directly into pipelines using Census data, Bureau of Labor Statistics datasets, state economic databases, or custom survey data.
• Running Large-Scale Scenario Modeling: Instead of manually creating dozens or hundreds of projects in the web interface, a script can generate them automatically.

The Golden Rule: Do Not Start in Your Browser

The most common mistake beginners make is treating the API like a website. You should not begin by typing api.implan.com into your browser.

If you type https://api.implan.com into your browser, the server will reply with {"message":"Not Found"}.

That simply means you asked for a homepage, but the server only answers specific API questions. This demonstrates a key foundation of APIs. APIs usually do not have webpages; they only respond when another program (like R) sends a proper request.

Example Correct Workflow:

1. Open R or RStudio.
2. Run code that sends a Request to IMPLAN.
3. IMPLAN sends data Response back to R.

HOW R AND IMPLAN TALK TO EACH OTHER

Before writing code, it is important to understand the mechanics of the conversation between R (your computer) and IMPLAN (our data server).

Think of an API request like ordering a meal at a restaurant. Just as a waiter takes your specific order to the kitchen and brings back your food, an API takes your request to IMPLAN’s server and brings back your data. To get the right "dish," your request must include three specific pieces of information:

1. THE URL ENDPOINT (THE "WHERE")

The URL is the specific web address where the data lives. This is the location of the of the restaurant. You can’t get your meal if you don't know which building the kitchen is in.

All IMPLAN Requests must start with https://api.implan.com. Specific requests for different actions or data have their own unique path added to the base address. 

It's important to note that all IMPLAN requests:

• Must use https for secure connections. 
• Addresses are case sensitive. This means that IMPLAN API sees /Industry-Codes/ and /industry-codes/ as two different locations. 

2. THE PARAMETERS (THE "WHAT")

The parameter are where add filers or details to your request to help tell IMPLAN exactly what you need. These are your menu choices. For example, if you order a burger, you may want to specify "no onions" or "medium-well."

In IMPLAN you use parameters to tell the API things like what Region, Year, or Industry you're working with. 

3. THE AUTENTICATION TOKEN (THE "WHO")

Your Bearer token is a unique, private "digital key" that proves you have permission to access the data.  This is your reservation or your payment. The kitchen won't start cooking until they verify you are an authorized guest.

Later in this article, we look at how to generate this "Bearer Token" in your IMPLAN.

UNDERSTANDING KEY API CONCEPTS

If the API is like a waiter taking your order, JSON is the specific language used to write the menu, and your Token is the ID card you show at the door. Below, we’ll break down these core technical concepts so you can handle your data and credentials like an expert.

JSON

Most APIs communicate using JSON (JavaScript Object Notation), which is simply a structured format for organizing labeled data. JSON objects are composed of key-value pairs, making them easy for both computers and humans to read. While it looks different than an R data frame, R can read it almost instantly using the jsonlite package, turning those nested labels into the rows and columns you are used to working with.

Authentication and Tokens

Before accessing the API, a script must authenticate with IMPLAN by proving the request is coming from an authorized user. The script sends a request containing the user's IMPLAN credentials.

If the credentials are valid, IMPLAN returns a Bearer Token, which acts as a temporary authorization key or "access badge." Instead of sending your password repeatedly, you include this token in future requests to verify your identity. Tokens typically remain valid for a limited period, such as 24 hours.

Securing Your Credentials

When writing your scripts, you should avoid embedding your password directly into your code. A best practice is to store credentials in a separate file, commonly called private/creds.json or .env. 

JSON Credentials Examples

{ 
  "username": "user@example.com", 
  "password": "mypassword"
}

Separating credentials into a file ensures security and portability, allowing multiple scripts to reuse the same credentials file.

HOW TO OBTAIN A IMPLAN API BEARER TOKEN IN R

Obtaining an IMPLAN API bearer token is the first step in any API project and a great way to make sure your API access is functioning correctly.

The simple script below sends your credentials to IMPLAN and returns your unique access token. It is good practice to start with this single step to confirm you can authenticate successfully before moving on to data analysis.

To get started, open RStudio (not your web browser) and follow these steps:

R

# Step 1: Install and load required packages
# Run the install lines only once:
library(httr2)
library(jsonlite)
 
# Step 2: Insert your IMPLAN credentials
username <- "your_implan_email"
password <- "your_implan_password"
 
# Step 3: Authenticate with IMPLAN
# This sends your credentials and requests a token. 

auth_response <- request("https://api.implan.com/api/auth") |> 
  req_method("POST") |> 
  req_headers(`Content-Type` = "application/json") |> 
  req_body_json(
list(  
   username = username,  # Make sure you've updated to use your username and password
   password = password
) 
  ) |> 
  req_perform()
 
token <- resp_body_string(auth_response)
print(token)
 

Receiving a Bearer Token

If your authentication was successful, R will print a long string of random-looking characters. This is your 'Access Badge', you'll use this in every subsequent request to prove you are logged in: 

 

"Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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_In0.CPjOYKWrUee-x4rntlXsDRzZ_4JW3OcsrwdnH8x8s18"

This Bearer token serves as the temporary credential for later API calls. Once the token is received, you can send it in the Authorization header when requesting resources such as available datasets. 

In practical terms, this confirms that the API is active for the account and that R is successfully communicating with IMPLAN through structured requests and responses. IMPLAN’s documented workflow begins with authentication and then moves to datasets, regions, projects, events, impacts, and results. 
 

HTTP 503 Error Message

If you see the error HTTP 503 Service Unavailable in your R console, it generally means one of two things: 

1. IMPLAN’s auth service is temporarily unavailable. IMPLAN’s authentication service might be momentarily down for maintenance or experiencing high traffic.
   • The Fix: Wait 60 seconds and try running your script again. If the code is correct, it will often go through on the second or third try.
2. API Access is not "Turned On" Yet:  Your standard IMPLAN login credentials do not automatically grant API access. Access is a separate "permission" that must be activated by the IMPLAN team.
   • The Fix: If you continue to see a 503 error after multiple attempts, contact your Customer Success Manager. Ask them to verify that "API Access" has been fully enabled for your specific user account.

STRUCTURING YOUR CODE: PROCEDURAL VS. OBJECT-ORIENTED

As you move beyond simple authentication, you will need to organize your code to run full impact models. IMPLAN provides two R workflow examples: 

• Procedural Workflows: This follows a step-by-step sequence, resembling a recipe. You execute instructions in a specific order: authenticate, build regions, run impacts. This is the most intuitive way to start and is typically easier for beginners to debug.
• Object-Oriented Workflows: This organizes code into reusable components (objects). Instead of one long script, you create a "Project Object" that "remembers" its own data. This is ideal for larger applications where you might want to automate dozens of impacts simultaneously.

CONCLUSION

The biggest shift for analysts moving from a graphical interface to an API is recognizing that every action becomes an explicit instruction. Instead of clicking a "Create Project" button in your browser, your R script sends a POST request to the project endpoint.

By using the API, you are looking "under the hood" of the IMPLAN platform. Once these core ideas—Endpoints, JSON, and Tokens—are understood, you can build powerful, automated pipelines that integrate economic modeling directly into your broader data workflows.

Once you have your token, you can begin calling datasets.

RELATED ARTICLES

Is the IMPLAN API Right for You? 

Getting Started With The IMPLAN API 

IMPLAN API Frequently Asked Questions

Written March 12,  2026