Compass Greater Philadelphia Locations
There are 256 US Compass Greater Philadelphia locations as of October 2026.
Each has an address, phone, website and map coordinates.
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Sample data
| name | address | city | state | zip | phone | website | overture id | brand | brand id | wikidata | category | category path | basic category | social | operating status | confidence | source dataset | source record id | source ids | source updated | data license | location type | location type confidence | location type basis | latitude | longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Hutch Axilrod Realtor | 801 Chapala St | Santa Barbara | CA | 93101 | (805) 637-6378 | https://www.compass.com/agents/hutch-axilrod/ | e4164f83-7ba3-41e1-8d7d-649a4bd5a5ac | Compass Greater Philadelphia | Ncompassgreaterphiladelphia | real_estate_agent | |services_and_business|real_estate_service|real_estate_agent| | real_estate_service | hutch.axilrod@compass.com | https://www.facebook.com/1428352614091468 | open | 0.92 | meta | 1428352614091468 | meta:1428352614091468|Overture-signals:b908444d-573c-475d-a7b9-ec81f1dd4ddd | 2026-10-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: real_estate_agent names a business, not premises | 34.418436 | -119.700821 | ||
| Natsuko Ikegami | 23-20 Jackson Ave | Long Island City | NY | 11101 | (917) 603-2891 | https://www.compass.com/agents/nyc/natsuko-ikegami/ | e9f3bef7-b777-4fb6-a9f2-66c96fef02a8 | Compass Greater Philadelphia | Ncompassgreaterphiladelphia | real_estate_agent | |services_and_business|real_estate_service|real_estate_agent| | real_estate_service | natsuko.ikegami@compass.com | https://www.facebook.com/1998527497103240 | open | 0.92 | meta | 1998527497103240 | meta:1998527497103240|Overture-signals:d1ed6319-b79a-4072-aeed-5307adbbd840 | 2026-10-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: real_estate_agent names a business, not premises | 40.74592 | -73.944946 | ||
| Dudley Roan Home Team | 312 Wyndhurst Ave | Baltimore | MD | 21210 | (443) 803-3876 | https://www.compass.com/agents/christina-dudley/ | b2a03fcc-499d-4b52-b015-75809656b679 | Compass Greater Philadelphia | Ncompassgreaterphiladelphia | real_estate_agent | |services_and_business|real_estate_service|real_estate_agent| | real_estate_service | christina.dudley@compass.com | https://www.facebook.com/305957700108081 | open | 0.92 | meta | 305957700108081 | meta:305957700108081|Overture-signals:5248acb9-4fef-4b26-bc86-8d33d36cd54e | 2026-10-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: real_estate_agent names a business, not premises | 39.35364 | -76.629414 |
What's in each row
| Field | What it is |
|---|---|
| overture_ | Map data id for the place, stable across monthly releases |
| name | Business name |
| brand | Brand or chain name, when the place belongs to one |
| brand_ | Our id for that brand (its Wikidata id where one exists) |
| wikidata | Wikidata id of the brand |
| category | Kind of place, from the map data |
| category_ | The category with every broader category above it |
| basic_ | A broader, simpler category |
| address | Street address |
| city | City |
| state | State (two-letter code) |
| zip | ZIP code |
| phone | Phone number |
| website | Website |
| Email address | |
| social | Social media page |
| latitude | Latitude |
| longitude | Longitude |
| operating_ | Whether the place is open, where the source says; closed places are left out of the list |
| confidence | How sure the map data is that the place exists (0 to 1) |
| source_ | Which source contributed the record |
| source_ | The record's id in that source |
| source_ | Every source record merged into this row |
| source_ | When the source last updated the record |
| data_ | The license the row is published under |
| location_ | Kind of premises: store, office, branch, warehouse and so on, read from the name, website and category |
| location_ | How sure the location type is (0 to 1) |
| location_ | What the location type was read from |
Source & license
Open map data from the Overture Maps Foundation, release of October 2026, refreshed monthly. Closed and low-confidence places are removed and duplicates within 50 meters merged. Contains data from Overture Maps Foundation (https://overturemaps.org), Places theme, licensed CDLA-Permissive-2.0 (https://cdla.dev/permissive-2-0/); some sources are Apache-2.0. See https://docs.overturemaps.org/attribution/.
Using ChatGPT, Claude or an API?
Ask this list a question with a link
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, 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>&where=<column>:<op>:<value>&total=<rows>
Leave out what the question does not need. Distance is radius, in straight-line miles; 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.
Open one of these to see how many places match, a few preview rows and the price for just those rows:
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=compass-greater-philadelphia-locations
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Every answer shows its exact price before you pay, by card, no account; the whole list is $1.64. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug compass-greater-philadelphia-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=compass-greater-philadelphia-locations. Works in every MCP tool and the x402 query API like any other dataset (count_locations, get_sample, query_locations, relate_locations, count_by_area, cotenancy).