Amazon Cha01 Locations
There are 2,464 US Amazon Cha01 locations as of October 2026.
Each has an address, phone, website and map coordinates.
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Or ask for the part you need: an area, a distance, a condition. Counts and previews are free, and each answer shows its exact price.
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Amazon Locker - Sze | 1801 H ST STE A2, 1801 H St Ste A2 | Modesto | CA | 95354 | https://www.amazon.com/ulp/add-ap-to-address-book?countryCode=US&accessPointId=57493211&ref_=hubm_us_bm_lkr_57493211 | 3924aa28-46cd-4eb6-9162-f3f830e8a258 | Amazon Cha01 | Namazoncha01 | courier_and_delivery_service | |services_and_business|shipping_or_delivery_service|courier_and_delivery_service| | shipping_or_delivery_service | open | 0.92 | Microsoft | 281474980345990 | Microsoft:281474980345990|Overture-signals:1d0b1135-41ac-4946-af8c-266e5d4880a1 | 2026-10-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: courier_and_delivery_service names a business, not premises | 37.645224 | -120.990395 | |||||
| Amazon Locker - Rayhaan | Majors Management, 461 RACETRACK Rd | Washington | PA | 15301 | https://www.amazon.com/ulp/add-ap-to-address-book?countryCode=US&accessPointId=63741171&ref_=hubm_us_bm_lkr_63741171 | 9ba0f2c3-bdd8-421f-baae-ce693560d705 | Amazon Cha01 | Namazoncha01 | courier_and_delivery_service | |services_and_business|shipping_or_delivery_service|courier_and_delivery_service| | shipping_or_delivery_service | open | 0.92 | Microsoft | 281474980349232 | Microsoft:281474980349232|Overture-signals:a8525002-354c-411a-a7b6-40732764a322 | 2026-10-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: courier_and_delivery_service names a business, not premises | 40.222595 | -80.210285 | |||||
| Amazon Locker - Dafne | Staples, 210 Ken Pratt Blvd Ste 140 | Longmont | CO | 80501 | https://www.amazon.com/ulp/add-ap-to-address-book?countryCode=US&accessPointId=52228251&ref_=hubm_us_bm_lkr_52228251 | aaf56136-22c7-4a76-a4ae-4ca24d52ad51 | Amazon Cha01 | Namazoncha01 | shipping_center | |services_and_business|shipping_or_delivery_service|shipping_center| | shipping_or_delivery_service | open | 0.92 | Microsoft | 281474980349556 | Microsoft:281474980349556|Overture-signals:0202265e-bbf1-45d7-8ab5-de718a54e065 | 2026-10-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: shipping_center names a business, not premises | 40.153723 | -105.098015 |
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=amazon-cha01-locations
Ask in ChatGPT or Claude
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Every answer shows its exact price before you pay, by card, no account; the whole list is $13.01. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug amazon-cha01-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=amazon-cha01-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).