How to Find a LinkedIn Geo Code: Complete Location ID Guide

When working with LinkedIn's API ecosystem, location filtering is a powerful way to narrow your search results. Learning how to find location geo_codes is essential for precise targeting in recruitment, sales, and market research. This guide provides a straightforward approach to finding any LinkedIn geo_code.

Table of Contents

• What is a LinkedIn Geo Code?
• Why You Need a Geo Code
• How to Find a Geo Code
• Understanding Geo Codes in URLs
• Using Geo Codes with LinkedIn APIs
• Common Issues and Solutions

What is a LinkedIn Geo Code?

In LinkedIn's ecosystem, each location, region, or country is associated with a globally unique identifier known as a geo_code. This numeric ID serves as a permanent reference to a specific geographical area, regardless of language settings or regional naming differences.

For example, the United States has the geo_code 103644278. This identifier remains consistent across all LinkedIn's systems and APIs.

Why You Need a Geo Code

The geo_code is a crucial parameter when using various LinkedIn API endpoints, including:

• Employee Search: Find professionals working in specific locations
• Job Search: Filter job postings by geographical areas
• Company Search: Identify organizations based in particular regions
• Market Analysis: Research professional demographics by location

Without the correct geo_code, these API operations cannot accurately filter by location, making this identifier essential for any location-based LinkedIn data analysis.

How to Find a Geo Code

Finding a LinkedIn geo_code is remarkably simple. Just follow these steps:

1. Visit LinkedIn's search page: https://www.linkedin.com/search/results/people/
2. Click on the "Locations" filter option
3. Enter your target location (e.g., "United States") in the search field
4. Apply the location filter to narrow results to this area
5. Look at your browser's address bar

The geo_code will appear in the URL as a parameter. For example, in a URL like:

https://www.linkedin.com/search/results/people/?geoUrn=%5B%22103644278%22%5D&origin=FACETED_SEARCH

The number 103644278 is the geo_code for the United States.

Understanding Geo Codes in URLs

Let's look at a real example of how geo codes appear in LinkedIn URLs:

In this screenshot, you can see the United States geo code (103644278) in the URL. The geo code appears after geoUrn=%5B in the URL and is highlighted with a red arrow.

When examining LinkedIn URLs, geo_codes appear after the geoUrn= parameter. The URL encoding follows the same pattern as other LinkedIn identifiers:

• %5B represents [ in URL encoding
• %22 represents " in URL encoding
• %5D represents ] in URL encoding
• %2C represents , in URL encoding

So a URL with multiple locations would look like:

https://www.linkedin.com/search/results/people/?geoUrn=%5B%22103644278%22%2C%22101174742%22%5D

Which represents the geo_codes for multiple locations (in this example, the United States and Canada).

If you're using a tool like the Fresh LinkedIn Scraper API, you can now use these codes to power various API calls.

Using Geo Codes with LinkedIn APIs

Once you have the geo_code, you can use it with various LinkedIn API endpoints:

Search People by Location

const axios = require("axios");

const options = {
  method: "GET",
  url: "https://fresh-linkedin-scraper-api.p.rapidapi.com/api/v1/search/people",
  params: {
    geo_code: "103644278", // United States geo_code
    page: "1",
  },
  headers: {
    "x-rapidapi-host": "fresh-linkedin-scraper-api.p.rapidapi.com",
    "x-rapidapi-key": "YOUR_RAPIDAPI_KEY",
  },
};

axios
  .request(options)
  .then(function (response) {
    console.log(response.data);
  })
  .catch(function (error) {
    console.error(error);
  });

You can also use curl to make the same request:

curl --request GET \
  --url 'https://fresh-linkedin-scraper-api.p.rapidapi.com/api/v1/search/people?name=john&page=1&geocode_location=103644278' \
  --header 'x-rapidapi-host: fresh-linkedin-scraper-api.p.rapidapi.com' \
  --header 'x-rapidapi-key: YOUR_RAPIDAPI_KEY'

Note that when using curl, the parameter name is geocode_location rather than geo_code as in the JavaScript example.

Search Jobs by Location

const axios = require("axios");

const options = {
  method: "GET",
  url: "https://fresh-linkedin-scraper-api.p.rapidapi.com/api/v1/search/job",
  params: {
    geo_code: "103644278", // United States geo_code
    page: "1",
  },
  headers: {
    "x-rapidapi-host": "fresh-linkedin-scraper-api.p.rapidapi.com",
    "x-rapidapi-key": "YOUR_RAPIDAPI_KEY",
  },
};

axios
  .request(options)
  .then(function (response) {
    console.log(response.data);
  })
  .catch(function (error) {
    console.error(error);
  });

You can also use curl to make the same request:

curl --request GET \
  --url 'https://fresh-linkedin-scraper-api.p.rapidapi.com/api/v1/job/search?keyword=backend&page=1&geocode=103644278' \
  --header 'x-rapidapi-host: fresh-linkedin-scraper-api.p.rapidapi.com' \
  --header 'x-rapidapi-key: YOUR_RAPIDAPI_KEY'

Note that when using curl for job searches, the parameter name is geocode rather than geo_code as in the JavaScript example. Additionally, the endpoint is job/search instead of search/job as shown in the JavaScript example above.

Common Issues and Solutions

Location Not Found

If you're having trouble finding the geo_code:

1. Try alternative spellings or the full official name of the location
2. Use broader regions if specific cities aren't available
3. Check if LinkedIn supports the location in search filters

Multiple Similar Locations

For locations with similar names:

1. Pay attention to state/province/country information in the filter
2. Verify the surrounding area matches your target location
3. Check population size or other distinguishing features

API Returns No Results

If your API call returns empty results:

1. Confirm you're using the correct geo_code format (numbers only, no special characters)
2. Verify your API key and authentication are valid
3. Try using broader geo_codes (country instead of city) if data is sparse

Finding and using LinkedIn geo_codes correctly is a fundamental skill when working with location-based LinkedIn data. With this simple guide, you can quickly integrate location filtering into your applications, research, or recruitment workflows.