Ryan Lawn & Tree
U.S. · 8 locations
8 Ryan Lawn & Tree branches, from the store locator on Ryan's own site: 3 in Missouri, 2 in Kansas, 2 in Nebraska and 1 in Oklahoma.
More about this list
Each row carries the street address, phone, the branch's site and coordinates.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | phone | website | brand | parent company | location type | branch name | locator id | geo precision | county | county fips | county note | address quality | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RYAN Lawn & Tree Kansas City | 5425 Antioch Dr. | Merriam | KS | 66202 | (913) 381-1505 | https://kansascity.ryanlawn.com | RYAN Lawn & Tree | RYAN Lawn & Tree | Branch | Kansas City | 1 | source | Johnson County | 20091 | complete | US | 39.0299538 | -94.6875711 | |
| RYAN Lawn & Tree Branson | 291 Sunrise Dr. | Branson | MO | 65616 | (417) 865-1600 | https://branson.ryanlawn.com | RYAN Lawn & Tree | RYAN Lawn & Tree | Branch | Branson | 5 | source | Taney County | 29213 | ZIP 65616 spans 2 counties; assigned to the county holding 91% of its land area | complete | US | 36.6964901 | -93.2217005 |
| RYAN Lawn & Tree Omaha | 4151 S 84th St. | Omaha | NE | 68127 | (402) 738-1718 | https://omaha.ryanlawn.com | RYAN Lawn & Tree | RYAN Lawn & Tree | Branch | Omaha | 2 | source | Douglas County | 31055 | complete | US | 41.21885049999999 | -96.04163249999999 | |
| RYAN Lawn & Tree Tulsa | 2301 N. Beech Ave. | Broken Arrow | OK | 74012 | (918) 355-1525 | https://tulsa.ryanlawn.com | RYAN Lawn & Tree | RYAN Lawn & Tree | Branch | Tulsa | 6 | source | Tulsa County | 40143 | complete | US | 36.0746751 | -95.8168628 | |
| RYAN Lawn & Tree Wichita | 1957 N. Mosley St. | Wichita | KS | 67214 | (316) 773-5100 | https://wichita.ryanlawn.com | RYAN Lawn & Tree | RYAN Lawn & Tree | Branch | Wichita | 7 | source | Sedgwick County | 20173 | complete | US | 37.7186186 | -97.32811249999999 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| brand | The name the office trades under | 100% |
| parent | The company that owns the office | 100% |
| name | Office name as the company's site shows it | 100% |
| location | Branch, corporate office or headquarters, or franchise office, as the company's site says | 100% |
| address | Street address | 100% |
| city | City | 100% |
| state | Two-letter state code | 100% |
| zip | ZIP code | 100% |
| country | Country code (US) | 100% |
| phone | Office phone number | 100% |
| website | The office's page on the company's site | 100% |
| latitude | GPS latitude | 100% |
| longitude | GPS longitude | 100% |
| branch | The branch's name on Ryan's site | 100% |
| locator | The Ryan locator's id for the branch | 100% |
| geo_ | How the coordinates were arrived at: the company's own map point (source), a geocode of the street address, or the ZIP's centre | 100% |
| county | County name | 100% |
| county_ | Five-digit county FIPS code | 100% |
| county_ | Set when the ZIP code spans more than one county | 25% |
| address_ | complete, no house number, po box, missing city or zip or missing | 100% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
This dataset is compiled from Ryan Lawn & Tree's own public branch locator, the system behind the “find a branch” page on their website.
October 2, 2026
Snapshot built
20 fields
Columns in the file
Fill measured
On every row of the delivered file
How we build and date every file: methodology.
Using ChatGPT, Claude or an API?
No setup needed. Ask ChatGPT or Claude your question about the Ryan Lawn & Tree Locations and give it this page: it can open https://locationlists.com/find?dataset=ryan-lawn-tree-locations with the filters you need and show you the count and price.
Using ChatGPT or Claude? Tell it to answer from locationlists.com/find — no account, no connector.
How assistants ask
No connector needed. Any AI assistant can answer from this site with a web link, no connector, no account: open https://locationlists.com/find with the question as query parameters.
If a question needs filtering, distance, drive time, combining lists or a price, open a /find link: either put the question itself in q=, or build the structured link. The answer does not need an API, a connector or an account.
Simplest, the question itself: https://locationlists.com/find?q=<the question in plain words>
Or set the parts yourself: https://locationlists.com/find?dataset=<slug>&state=<ST>&city=<city>&county=<county>&zip=<zip>&near=<place or zip>&radius=<miles>&drive=<minutes>&where=<column>:<op>:<value>&total=<rows>
Leave out what the question does not need. Use radius for straight-line miles or drive for minutes of driving (5 to 60), not both; near can name several places separated by | to reach from any of them. To ask about several lists at once, use datasets with two or more names, or category with a kind of business. To compare two lists, add relate=nearest and the other list with b. in front of its parameters. To count by area, use areas=county (or zip, state, metro). To keep only places whose county, ZIP code, metro area or state meets a Census figure, add area_where (for example county:population>1000000); with areas, per=100000 gives counts per 100,000 residents.
Links an assistant can open, each showing how many rows match, a few preview rows and the price for just that part:
- Only Missouri, the state with the most: https://locationlists.com/find?dataset=ryan-lawn-tree-locations&state=MO
- Within 25 miles of Kansas City, MO, the busiest area: https://locationlists.com/find?dataset=ryan-lawn-tree-locations&near=Kansas+City+MO&radius=25
- Within a 30-minute drive of Kansas City, MO: https://locationlists.com/find?dataset=ryan-lawn-tree-locations&near=Kansas+City+MO&drive=30
- Every Consumer Services list combined, within 25 miles of Spokane, MO: https://locationlists.com/find?category=consumer-services&near=Spokane+MO&radius=25
- Each one's nearest Trident Society Locations, in Missouri, with miles: https://locationlists.com/find?dataset=ryan-lawn-tree-locations&state=MO&relate=nearest&k=1&b.dataset=trident-society-locations&b.state=MO
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=ryan-lawn-tree-locations - In plain words: "Ryan Lawn & Tree Locations in Missouri": https://locationlists.com/find?q=Ryan+Lawn+%26+Tree+Locations+in+Missouri
- In plain words: "Ryan Lawn & Tree Locations within 25 miles of Kansas City, MO": https://locationlists.com/find?q=Ryan+Lawn+%26+Tree+Locations+within+25+miles+of+Kansas+City%2C+MO
Optional: connect for repeat use or wallet payments:
Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the Ryan Lawn & Tree Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 8 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=ryan-lawn-tree-locations. An agent connected to https://locationlists.com/mcp can still search it, read a free sample file of up to 8 rows and buy the whole file itself. How agent purchasing works
?Frequently Asked Questions
Is this list in the Landscaping & Lawn Care Industry Bundle?
Yes. The bundle puts this list together with the other 19 landscaping, tree care and lawn care chain lists we hold and 29,644 independent landscaping and lawn care companies in one CSV, tagged by brand and parent company, for less than buying the lists one by one.
How current is it?
Snapshot built on October 2, 2026. It is a one-time snapshot and is not rebuilt on a schedule.