UULE Codes for Cities in Lithuania
A UULE code makes Google show results as if you were searching from a given place. Below are the v1 codes for 20 cities in Lithuania with at least 15,000 people, largest first. Copy one, or open the search on Google to check it.
20 cities
| City | Region | Population | UULE (v1) | Use |
|---|---|---|---|---|
| Vilnius | Vilnius County | 542,366 | w+CAIQICIgVmlsbml1cyxWaWxuaXVzIENvdW50eSxMaXRodWFuaWE= | |
| Kaunas | Kaunas County | 289,380 | w+CAIQICIeS2F1bmFzLEthdW5hcyBDb3VudHksTGl0aHVhbmlh | |
| Klaipeda | Klaipeda County | 172,292 | w+CAIQICIiS2xhaXBlZGEsS2xhaXBlZGEgQ291bnR5LExpdGh1YW5pYQ== | |
| Siauliai | Siauliai County | 99,462 | w+CAIQICIiU2lhdWxpYWksU2lhdWxpYWkgQ291bnR5LExpdGh1YW5pYQ== | |
| Panevezys | Panevezys County | 85,885 | w+CAIQICIkUGFuZXZlenlzLFBhbmV2ZXp5cyBDb3VudHksTGl0aHVhbmlh | |
| Alytus | Alytus County | 49,195 | w+CAIQICIeQWx5dHVzLEFseXR1cyBDb3VudHksTGl0aHVhbmlh | |
| Marijampole | Marijampole County | 34,975 | w+CAIQICIoTWFyaWphbXBvbGUsTWFyaWphbXBvbGUgQ291bnR5LExpdGh1YW5pYQ== | |
| Mazeikiai | Telsiai County | 32,470 | w+CAIQICIiTWF6ZWlraWFpLFRlbHNpYWkgQ291bnR5LExpdGh1YW5pYQ== | |
| Jonava | Kaunas County | 26,423 | w+CAIQICIeSm9uYXZhLEthdW5hcyBDb3VudHksTGl0aHVhbmlh | |
| Utena | Utena County | 25,397 | w+CAIQICIcVXRlbmEsVXRlbmEgQ291bnR5LExpdGh1YW5pYQ== | |
| Kedainiai | Kaunas County | 22,677 | w+CAIQICIhS2VkYWluaWFpLEthdW5hcyBDb3VudHksTGl0aHVhbmlh | |
| Telsiai | Telsiai County | 21,294 | w+CAIQICIgVGVsc2lhaSxUZWxzaWFpIENvdW50eSxMaXRodWFuaWE= | |
| Taurage | Taurage County | 21,203 | w+CAIQICIgVGF1cmFnZSxUYXVyYWdlIENvdW50eSxMaXRodWFuaWE= | |
| Ukmerge | Vilnius County | 20,154 | w+CAIQICIgVWttZXJnZSxWaWxuaXVzIENvdW50eSxMaXRodWFuaWE= | |
| Plunge | Telsiai County | 18,904 | w+CAIQICIfUGx1bmdlLFRlbHNpYWkgQ291bnR5LExpdGh1YW5pYQ== | |
| Palanga | Klaipeda County | 18,207 | w+CAIQICIhUGFsYW5nYSxLbGFpcGVkYSBDb3VudHksTGl0aHVhbmlh | |
| Visaginas | Utena County | 18,024 | w+CAIQICIgVmlzYWdpbmFzLFV0ZW5hIENvdW50eSxMaXRodWFuaWE= | |
| Kretinga | Klaipeda County | 17,249 | w+CAIQICIiS3JldGluZ2EsS2xhaXBlZGEgQ291bnR5LExpdGh1YW5pYQ== | |
| Gargzdai | Klaipeda County | 16,433 | w+CAIQICIiR2FyZ3pkYWksS2xhaXBlZGEgQ291bnR5LExpdGh1YW5pYQ== | |
| Radviliskis | Siauliai County | 16,344 | w+CAIQICIlUmFkdmlsaXNraXMsU2lhdWxpYWkgQ291bnR5LExpdGh1YW5pYQ== |
Use a Lithuania UULE with the API
Send the code to /v1/google/search and you get structured results for that city. This example searches “emergency vet” from Vilnius, the largest city in the list, with gl=lt and hl=lt.
Request for Vilnius, Vilnius County
curl -G "https://api.justserp.com/v1/google/search" \ -H "X-API-Key: YOUR_API_KEY" \ --data-urlencode "q=emergency vet" \ --data-urlencode "uule=w+CAIQICIgVmlsbml1cyxWaWxuaXVzIENvdW50eSxMaXRodWFuaWE=" \ --data-urlencode "gl=lt" \ --data-urlencode "hl=lt"
Or pass the location name
You do not have to encode anything. The location parameter takes the canonical name and JustSERP does the rest.
Request with location
curl -G "https://api.justserp.com/v1/google/search" \ -H "X-API-Key: YOUR_API_KEY" \ --data-urlencode "q=pharmacy" \ --data-urlencode "location=Vilnius,Vilnius County,Lithuania" \ --data-urlencode "gl=lt" \ --data-urlencode "hl=lt"
Replace YOUR_API_KEY with your key. See the API docs for every parameter.
Need a street or neighbourhood?
These are v1 codes, built from Google's canonical city name. A v2 code uses coordinates instead, so it can point at a street or a neighbourhood. The UULE generator and decoder creates one for any coordinates.
Other countries
- Latvia14 cities
- Lebanon5 cities
- Lesotho8 cities
- Liberia1 city
- Libya9 cities
- Liechtenstein1 city
- Luxembourg3 cities
- Macao2 cities
- Madagascar10 cities
- Malawi4 cities
- Malaysia213 cities
- Malta2 cities
Canonical names from Google's public geo targets list. City list and population from GeoNames (CC BY 4.0). Only cities that match one Google location exactly are listed. Results can still differ from what a person in the city sees, because Google also personalises.
JustSERP
JustSERP was born out of our own need to scrape google search results to parse data for analytical and processing needs. We have gone through the excruciating process of running automated web search queries by bypassing bot filters, solving captchas and parsing convoluted HTML. It is our pleasure to share our expertise with others through this affordable, fast and reliable SERP API. Don't hesitate to contact us with any questions at [email protected].