Food delivery intelligence · DoorDash · Snapshot 2026年10月11日
A directory of the stores DoorDash lists for delivery and pickup: 325,874 merchant locations across 5 countries and territories, each with its address and coordinates, marketplace tags, price tier, aggregate rating and DashPass eligibility. Filter by country, state, city, tag, price or rating, or ask for every store within a radius of a point. It is what DoorDash's public browse feed surfaced, collected area by area — not DoorDash's own merchant count.
325,874
One record per store_id, discovered through the public browse feed and then completed from each store's own page.
Snapshot 2026年10月11日. Public store fields only — no order data, no customer data.
83.4%
of the directory is in the United States — 271,817 of 325,874 stores. The rest is Canada (28,165), Australia (20,004), New Zealand (4,312), and Puerto Rico (1,576).
94.5%
of stores are marked DashPass eligible. Eligibility is close to universal, so it separates very few stores from the rest; it is more useful as a filter to find the 17,946 that are not.
64.3%
of rated stores hold 4.5 stars or more, and only 2.8% sit below 4.0. Ratings are compressed at the top, so a 4.5 here is the middle of the range rather than a mark of distinction.
99.5%
of stores are in DoorDash's two lowest price tiers. Only 1,502 stores are in tiers 3 and 4, which makes the price tier a way to find the expensive exceptions rather than a way to segment the directory.
DoorDash's browse feed returns a limited number of stores for any one location, so this directory is built by asking for many small areas and keeping every distinct store that comes back. That reaches dense cities well and thinly populated areas less well, and it means the total is the number of stores found, not the number DoorDash has. Two fields describe a moment rather than the store: whether it was open, and its quoted delivery time, were both read at the instant of collection, at whatever local hour that was. 89,774 stores were closed when read, which says when they were visited and nothing about whether they are still in business.
Unlike most tables on these pages, this one is not cut off: the country facet returns every country in the directory. DashPass and rating columns are shares of that country's stores; the 4.5+ column is a share of its rated stores.
| Country | Stores | Share of all stores | DashPass eligible | Carry a rating | 4.5+ (of rated) |
|---|---|---|---|---|---|
| United States (US) | 271,817 | 83.4% | 94% | 92.4% | 65.9% |
| Canada (CA) | 28,165 | 8.6% | 96.5% | 92.1% | 53.3% |
| Australia (AU) | 20,004 | 6.1% | 97.8% | 85.8% | 58.3% |
| New Zealand (NZ) | 4,312 | 1.3% | 98.1% | 80.5% | 56.1% |
| Puerto Rico (PR) | 1,576 | 0.5% | 95.1% | 68.7% | 83.1% |
298,881 of 325,874 stores (91.7%) carry an aggregate rating; the rest have too few ratings for DoorDash to show one, and are left out of every share below. Among rated stores the scale is used almost entirely between 4.0 and 5.0.
| Rating | Stores | Share of rated stores |
|---|---|---|
| Any rating | 298,881 | 100% |
| 4.0 or higher | 290,516 | 97.2% |
| 4.5 or higher | 192,188 | 64.3% |
| 4.8 or higher | 34,840 | 11.7% |
DoorDash assigns each store a numeric price tier from 1 (least expensive) to 4. The tiers are DoorDash's own and are not currency amounts. Shares are of all 325,874 stores; a handful carry no tier.
| Price tier | Stores | Share of all stores |
|---|---|---|
| Tier 1 | 105,682 | 32.4% |
| Tier 2 | 218,684 | 67.1% |
| Tier 3 | 1,289 | 0.4% |
| Tier 4 | 213 | 0.1% |
Tags are DoorDash's own category labels, and a store carries several, so the counts overlap and do not add up to the store total: each row is the number of stores carrying that tag. The facet endpoint returns the 50 most common tags; any tag works as the `tag` filter.
| Tag | Stores carrying it | Share of all stores |
|---|---|---|
| American | 92,704 | 28.4% |
| Fast Food | 68,808 | 21.1% |
| Sandwiches | 66,887 | 20.5% |
| Chicken | 66,430 | 20.4% |
| Salads | 47,520 | 14.6% |
| Burgers | 45,689 | 14% |
| Breakfast | 44,345 | 13.6% |
| Dessert | 44,160 | 13.6% |
| Mexican | 41,404 | 12.7% |
| Pizza | 38,031 | 11.7% |
| Chicken Wings | 35,969 | 11% |
| Casual Dining | 35,854 | 11% |
| Comfort Food | 31,312 | 9.6% |
| Italian | 27,357 | 8.4% |
| Lunch | 27,133 | 8.3% |
The facet endpoint returns the 50 largest values for each, so these are the top of longer lists. Shares are of all 325,874 stores. State and province codes from different countries share one list, which is why Ontario appears among US states.
| State / province | Stores | Share of all stores |
|---|---|---|
| CA | 36,164 | 11.1% |
| TX | 20,798 | 6.4% |
| FL | 19,682 | 6% |
| NY | 18,816 | 5.8% |
| IL | 12,128 | 3.7% |
| OH | 10,628 | 3.3% |
| PA | 10,581 | 3.2% |
| ON | 9,987 | 3.1% |
| NJ | 9,874 | 3% |
| MA | 7,958 | 2.4% |
| GA | 7,828 | 2.4% |
| WA | 7,444 | 2.3% |
| City | Stores | Share of all stores |
|---|---|---|
| New York | 3,005 | 0.9% |
| Los Angeles | 2,979 | 0.9% |
| Chicago | 2,704 | 0.8% |
| Toronto | 2,527 | 0.8% |
| Brooklyn | 2,275 | 0.7% |
| Auckland | 1,738 | 0.5% |
| Philadelphia | 1,680 | 0.5% |
| Vancouver | 1,533 | 0.5% |
| Calgary | 1,508 | 0.5% |
| Montréal | 1,446 | 0.4% |
| Miami | 1,391 | 0.4% |
| Washington | 1,222 | 0.4% |
Address, coordinates and contact fields come from the store's own page and are absent on a store that has been found but not yet completed. `top_items` is a short preview of the menu, not the menu.
idstore_idnameurlcover_image_urladdressstreetcitystatecountrylatitudelongitudephonehas_phonehas_websitetags[]price_rangeaverage_ratingnumber_of_ratingsdash_pass_eligibletop_items[]display_statusdisplay_asap_timeasap_availablepickup_availablediscovery_citydiscovery_statediscovery_countryfirst_seen_atlast_seen_atcrawled_atCombine filters freely. Offset paging with `page` and `page_size` reaches the first 10,000 results; add `pagination=cursor` to walk a larger result set from start to end.
Search — highly rated pizza in one city
curl "https://api.crawlora.net/api/v1/datasets/doordash-stores/search?country=US&city=Chicago&tag=Pizza&min_rating=4.7&sort=rating" \
-H "x-api-key: $CRAWLORA_API_KEY"Nearby — every store within 800 m of a point
curl "https://api.crawlora.net/api/v1/datasets/doordash-stores/nearby?lat=40.7580&lon=-73.9855&radius_m=800" \
-H "x-api-key: $CRAWLORA_API_KEY"Facets — the tag mix of one state
curl "https://api.crawlora.net/api/v1/datasets/doordash-stores/facets?facet=tags&country=US&state=TX" \
-H "x-api-key: $CRAWLORA_API_KEY"325,874 merchant locations as of 2026-10-11, across 5 countries and territories: 271,817 in United States, 28,165 in Canada, 20,004 in Australia, 4,312 in New Zealand, and 1,576 in Puerto Rico. That is the number of stores this directory has found through DoorDash's public browse feed, not a figure published by DoorDash, and it grows as more areas are collected.
No. The browse feed shows a limited number of stores per location, so the directory is assembled from many small areas. Coverage is strongest in cities and weaker in sparsely populated areas, and a store that the feed never surfaced is not in it. Treat shares as descriptive of the directory rather than of DoorDash as a whole.
94.5% — 307,928 of 325,874 stores carry the DashPass flag. By country the share runs from 94% to 98.1%. Use `dash_pass_only=true` on search to keep only eligible stores.
298,881 stores (91.7%) carry a rating. Of those, 64.3% are at 4.5 or higher, 11.7% are at 4.8 or higher and 2.8% are below 4.0. Stores without a rating are excluded from these shares, and from any search that sets `min_rating`.
Yes. The `nearby` endpoint takes `lat`, `lon` and `radius_m` (up to 50,000 metres) and returns the stores inside the circle, and `search` accepts the same three parameters together with the country, state, city, tag, price and rating filters. A store that has not yet had its address completed has no coordinates and will not appear in a radius query.
Not full menus. Each record has `top_items`, a short preview of the store's menu that changes often, and a `price_range` tier from 1 to 4 that DoorDash assigns. For a store's complete menu, use the live DoorDash store endpoints instead of the dataset.
Restaurant density by city, cuisine mix by state, delivery-coverage maps or lead lists by tag — from one REST API or the same endpoints as MCP tools.