A UULE code makes Google show results as if you were searching from a given place. Below are the v1 codes for 55 cities in Denmark with at least 15,000 people, largest first. Copy one, or open the search on Google to check it.
55 cities
| City | Region | Population | UULE (v1) | Use |
|---|---|---|---|---|
| Copenhagen | Capital Region of Denmark | 1,153,615 | w+CAIQICIsQ29wZW5oYWdlbixDYXBpdGFsIFJlZ2lvbiBvZiBEZW5tYXJrLERlbm1hcms= | |
| Odense | Region of Southern Denmark | 180,863 | w+CAIQICIpT2RlbnNlLFJlZ2lvbiBvZiBTb3V0aGVybiBEZW5tYXJrLERlbm1hcms= | |
| Aalborg | North Denmark Region | 142,937 | w+CAIQICIkQWFsYm9yZyxOb3J0aCBEZW5tYXJrIFJlZ2lvbixEZW5tYXJr | |
| Frederiksberg | Capital Region of Denmark | 95,029 | w+CAIQICIvRnJlZGVyaWtzYmVyZyxDYXBpdGFsIFJlZ2lvbiBvZiBEZW5tYXJrLERlbm1hcms= | |
| Esbjerg | Region of Southern Denmark | 71,698 | w+CAIQICIqRXNiamVyZyxSZWdpb24gb2YgU291dGhlcm4gRGVubWFyayxEZW5tYXJr | |
| Randers | Central Denmark Region | 62,802 | w+CAIQICImUmFuZGVycyxDZW50cmFsIERlbm1hcmsgUmVnaW9uLERlbm1hcms= | |
| Kolding | Region of Southern Denmark | 61,638 | w+CAIQICIqS29sZGluZyxSZWdpb24gb2YgU291dGhlcm4gRGVubWFyayxEZW5tYXJr | |
| Horsens | Central Denmark Region | 61,074 | w+CAIQICImSG9yc2VucyxDZW50cmFsIERlbm1hcmsgUmVnaW9uLERlbm1hcms= | |
| Vejle | Region of Southern Denmark | 60,231 | w+CAIQICIoVmVqbGUsUmVnaW9uIG9mIFNvdXRoZXJuIERlbm1hcmssRGVubWFyaw== | |
| Hvidovre | Capital Region of Denmark | 53,527 | w+CAIQICIqSHZpZG92cmUsQ2FwaXRhbCBSZWdpb24gb2YgRGVubWFyayxEZW5tYXJr | |
| Roskilde | Region Zealand | 51,916 | w+CAIQICIfUm9za2lsZGUsUmVnaW9uIFplYWxhbmQsRGVubWFyaw== | |
| Herning | Central Denmark Region | 50,565 | w+CAIQICImSGVybmluZyxDZW50cmFsIERlbm1hcmsgUmVnaW9uLERlbm1hcms= | |
| Silkeborg | Central Denmark Region | 49,747 | w+CAIQICIoU2lsa2Vib3JnLENlbnRyYWwgRGVubWFyayBSZWdpb24sRGVubWFyaw== | |
| Hedensted | Central Denmark Region | 47,099 | w+CAIQICIoSGVkZW5zdGVkLENlbnRyYWwgRGVubWFyayBSZWdpb24sRGVubWFyaw== | |
| Naestved | Region Zealand | 44,331 | w+CAIQICIfTmFlc3R2ZWQsUmVnaW9uIFplYWxhbmQsRGVubWFyaw== | |
| Viborg | Central Denmark Region | 41,239 | w+CAIQICIlVmlib3JnLENlbnRyYWwgRGVubWFyayBSZWdpb24sRGVubWFyaw== | |
| Fredericia | Region of Southern Denmark | 40,886 | w+CAIQICItRnJlZGVyaWNpYSxSZWdpb24gb2YgU291dGhlcm4gRGVubWFyayxEZW5tYXJr | |
| Rodovre | Capital Region of Denmark | 40,652 | w+CAIQICIpUm9kb3ZyZSxDYXBpdGFsIFJlZ2lvbiBvZiBEZW5tYXJrLERlbm1hcms= | |
| Charlottenlund | Capital Region of Denmark | 40,000 | w+CAIQICIwQ2hhcmxvdHRlbmx1bmQsQ2FwaXRhbCBSZWdpb24gb2YgRGVubWFyayxEZW5tYXJr | |
| Ballerup | Capital Region of Denmark | 40,000 | w+CAIQICIqQmFsbGVydXAsQ2FwaXRhbCBSZWdpb24gb2YgRGVubWFyayxEZW5tYXJr | |
| Koge | Region Zealand | 38,304 | w+CAIQICIbS29nZSxSZWdpb24gWmVhbGFuZCxEZW5tYXJr | |
| Hillerod | Capital Region of Denmark | 35,357 | w+CAIQICIqSGlsbGVyb2QsQ2FwaXRhbCBSZWdpb24gb2YgRGVubWFyayxEZW5tYXJr | |
| Taastrup | Capital Region of Denmark | 35,238 | w+CAIQICIqVGFhc3RydXAsQ2FwaXRhbCBSZWdpb24gb2YgRGVubWFyayxEZW5tYXJr | |
| Helsingor | Capital Region of Denmark | 35,048 | w+CAIQICIrSGVsc2luZ29yLENhcGl0YWwgUmVnaW9uIG9mIERlbm1hcmssRGVubWFyaw== | |
| Holstebro | Central Denmark Region | 32,072 | w+CAIQICIoSG9sc3RlYnJvLENlbnRyYWwgRGVubWFyayBSZWdpb24sRGVubWFyaw== | |
| Slagelse | Region Zealand | 31,896 | w+CAIQICIfU2xhZ2Vsc2UsUmVnaW9uIFplYWxhbmQsRGVubWFyaw== | |
| Viby | Region Zealand | 31,756 | w+CAIQICIbVmlieSxSZWdpb24gWmVhbGFuZCxEZW5tYXJr | |
| Albertslund | Capital Region of Denmark | 30,000 | w+CAIQICItQWxiZXJ0c2x1bmQsQ2FwaXRhbCBSZWdpb24gb2YgRGVubWFyayxEZW5tYXJr | |
| Holbaek | Region Zealand | 29,608 | w+CAIQICIeSG9sYmFlayxSZWdpb24gWmVhbGFuZCxEZW5tYXJr | |
| Sonderborg | Region of Southern Denmark | 27,766 | w+CAIQICItU29uZGVyYm9yZyxSZWdpb24gb2YgU291dGhlcm4gRGVubWFyayxEZW5tYXJr | |
| Svendborg | Region of Southern Denmark | 27,300 | w+CAIQICIsU3ZlbmRib3JnLFJlZ2lvbiBvZiBTb3V0aGVybiBEZW5tYXJrLERlbm1hcms= | |
| Hjorring | North Denmark Region | 25,644 | w+CAIQICIlSGpvcnJpbmcsTm9ydGggRGVubWFyayBSZWdpb24sRGVubWFyaw== | |
| Norresundby | North Denmark Region | 24,831 | w+CAIQICIoTm9ycmVzdW5kYnksTm9ydGggRGVubWFyayBSZWdpb24sRGVubWFyaw== | |
| Glostrup | Capital Region of Denmark | 23,128 | w+CAIQICIqR2xvc3RydXAsQ2FwaXRhbCBSZWdpb24gb2YgRGVubWFyayxEZW5tYXJr | |
| Ringsted | Region Zealand | 23,086 | w+CAIQICIfUmluZ3N0ZWQsUmVnaW9uIFplYWxhbmQsRGVubWFyaw== | |
| Frederikshavn | North Denmark Region | 22,672 | w+CAIQICIqRnJlZGVyaWtzaGF2bixOb3J0aCBEZW5tYXJrIFJlZ2lvbixEZW5tYXJr | |
| Haderslev | Region of Southern Denmark | 22,011 | w+CAIQICIsSGFkZXJzbGV2LFJlZ2lvbiBvZiBTb3V0aGVybiBEZW5tYXJrLERlbm1hcms= | |
| Birkerod | Capital Region of Denmark | 21,242 | w+CAIQICIqQmlya2Vyb2QsQ2FwaXRhbCBSZWdpb24gb2YgRGVubWFyayxEZW5tYXJr | |
| Farum | Capital Region of Denmark | 20,312 | w+CAIQICInRmFydW0sQ2FwaXRhbCBSZWdpb24gb2YgRGVubWFyayxEZW5tYXJr | |
| Skive | Central Denmark Region | 20,190 | w+CAIQICIkU2tpdmUsQ2VudHJhbCBEZW5tYXJrIFJlZ2lvbixEZW5tYXJr | |
| Stenlose | Capital Region of Denmark | 19,998 | w+CAIQICIqU3Rlbmxvc2UsQ2FwaXRhbCBSZWdpb24gb2YgRGVubWFyayxEZW5tYXJr | |
| Nykobing Falster | Region Zealand | 19,976 | w+CAIQICInTnlrb2JpbmcgRmFsc3RlcixSZWdpb24gWmVhbGFuZCxEZW5tYXJr | |
| Ishoj | Capital Region of Denmark | 19,453 | w+CAIQICInSXNob2osQ2FwaXRhbCBSZWdpb24gb2YgRGVubWFyayxEZW5tYXJr | |
| Hedehusene | Capital Region of Denmark | 17,953 | w+CAIQICIsSGVkZWh1c2VuZSxDYXBpdGFsIFJlZ2lvbiBvZiBEZW5tYXJrLERlbm1hcms= | |
| Vordingborg | Region Zealand | 17,868 | w+CAIQICIiVm9yZGluZ2JvcmcsUmVnaW9uIFplYWxhbmQsRGVubWFyaw== | |
| Nyborg | Region of Southern Denmark | 17,525 | w+CAIQICIpTnlib3JnLFJlZ2lvbiBvZiBTb3V0aGVybiBEZW5tYXJrLERlbm1hcms= | |
| Solrod Strand | Region Zealand | 17,337 | w+CAIQICIkU29scm9kIFN0cmFuZCxSZWdpb24gWmVhbGFuZCxEZW5tYXJr | |
| Frederikssund | Capital Region of Denmark | 16,850 | w+CAIQICIvRnJlZGVyaWtzc3VuZCxDYXBpdGFsIFJlZ2lvbiBvZiBEZW5tYXJrLERlbm1hcms= | |
| Lillerod | Capital Region of Denmark | 16,741 | w+CAIQICIqTGlsbGVyb2QsQ2FwaXRhbCBSZWdpb24gb2YgRGVubWFyayxEZW5tYXJr | |
| Tonder | Region of Southern Denmark | 16,401 | w+CAIQICIpVG9uZGVyLFJlZ2lvbiBvZiBTb3V0aGVybiBEZW5tYXJrLERlbm1hcms= | |
| Aabenraa | Region of Southern Denmark | 16,401 | w+CAIQICIrQWFiZW5yYWEsUmVnaW9uIG9mIFNvdXRoZXJuIERlbm1hcmssRGVubWFyaw== | |
| Middelfart | Region of Southern Denmark | 16,277 | w+CAIQICItTWlkZGVsZmFydCxSZWdpb24gb2YgU291dGhlcm4gRGVubWFyayxEZW5tYXJr | |
| Kalundborg | Region Zealand | 16,211 | w+CAIQICIhS2FsdW5kYm9yZyxSZWdpb24gWmVhbGFuZCxEZW5tYXJr | |
| Tilst | Central Denmark Region | 15,617 | w+CAIQICIkVGlsc3QsQ2VudHJhbCBEZW5tYXJrIFJlZ2lvbixEZW5tYXJr | |
| Virum | Capital Region of Denmark | 15,200 | w+CAIQICInVmlydW0sQ2FwaXRhbCBSZWdpb24gb2YgRGVubWFyayxEZW5tYXJr |
Send the code to /v1/google/search and you get structured results for that city. This example searches “bakery” from Copenhagen, the largest city in the list, with gl=dk and hl=da.
Request for Copenhagen, Capital Region of Denmark
curl -G "https://api.justserp.com/v1/google/search" \ -H "X-API-Key: YOUR_API_KEY" \ --data-urlencode "q=bakery" \ --data-urlencode "uule=w+CAIQICIsQ29wZW5oYWdlbixDYXBpdGFsIFJlZ2lvbiBvZiBEZW5tYXJrLERlbm1hcms=" \ --data-urlencode "gl=dk" \ --data-urlencode "hl=da"
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=florist" \ --data-urlencode "location=Copenhagen,Capital Region of Denmark,Denmark" \ --data-urlencode "gl=dk" \ --data-urlencode "hl=da"
Replace YOUR_API_KEY with your key. See the API docs for every parameter.
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.
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 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].