Oportun Locations
278 US Oportun locations, with 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Oportun | 330 Bellam Blvd | San Rafael | CA | 94901 | (415) 508-6646 | https://locations.oportun.com/stores/oportun-inside-of-mi-pueblo-3-2/ | 01b2fa21-5a52-4945-a2b3-96beae73c3b9 | Oportun | Noportun | pharmacy | |shopping|specialty_store|pharmacy_and_drug_store|pharmacy| | pharmacy_and_drug_store | open | 0.92 | Microsoft | 844424931981603 | Microsoft:844424931981603|Overture-signals:9e4f761a-0c66-4d89-bcaa-cf8a271cb61a | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.87 | website: "stores" (store); category: pharmacy names a business, not premises; brand: Oportun | 37.961779 | -122.499535 | |||
| Oportun | 10790 Macarthur Blvd | Oakland | CA | 94605 | (510) 584-9887 | https://locations.oportun.com/stores/Oakland-485/ | 96d1f19d-be91-4e19-bd93-2ac529974da8 | Oportun | Noportun | pharmacy | |shopping|specialty_store|pharmacy_and_drug_store|pharmacy| | pharmacy_and_drug_store | open | 0.92 | Microsoft | 844424932270837 | Microsoft:844424932270837|Overture-signals:4bd88df5-a143-4a54-a799-e6d78fad3ffb | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.87 | website: "stores" (store); category: pharmacy names a business, not premises; brand: Oportun | 37.741892 | -122.150726 | |||
| Oportun | 7550 Tampa Ave Unit C | Reseda | CA | 91335 | (747) 800-4891 | https://locations.oportun.com/stores/oportun-76/ | be2d72e0-d23d-4d45-968d-41a7a3a3a835 | Oportun | Noportun | pharmacy | |shopping|specialty_store|pharmacy_and_drug_store|pharmacy| | pharmacy_and_drug_store | open | 0.92 | Microsoft | 844424931992392 | Microsoft:844424931992392|Overture-signals:495fd27f-4f30-4653-a3d7-79bf4547ce56 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.87 | website: "stores" (store); category: pharmacy names a business, not premises; brand: Oportun | 34.207529 | -118.553436 |
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 August 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/.
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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.
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=oportun-locations
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Every answer shows its exact price before you pay, by card, no account; the whole list is $1.76. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug oportun-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=oportun-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).