DoorDash Menu Scraper

DoorDash chain menu items — name, price, description, and section — from business menu pages. Independent tool, not affiliated with DoorDash.

Scrape a national chain menu when you need item names and the estimated price shown on the business menu. Paste a chain slug or a business menu URL. Each dataset row is one menu item. Location store pages, delivery fees, ETAs, and customer reviews are outside this Actor.

Chain menus	US grocery store	US weekly ad	EU leaflets
DoorDash Menu Scraper ◄── you are here	Walmart Scraper	Aldi Weekly Ad Scraper	Lidl Weekly Offers Scraper

When to use

• Build a chain menu database with item name, section, description, and price
• Compare estimated prices across a short list of chains
• Feed a pricing sheet or a research notebook from JSON

Location /store/ links are skipped. Those pages are a different product (one restaurant, local price, delivery fee). This Actor reads the chain business menu.

Key features

• Chain slug or business menu URL
• Item name, section, description, and USD price
• Optional item-name filter
• One row per menu item, deduped inside a section
• HTTP fetch, 256 MB, no browser

Prices on these pages are a national estimate. The same item can cost a different amount at a specific restaurant.

Input

Field	Required	Description
chains	One of chains or startUrls	Chain slug (chipotle-115) or a business menu URL
startUrls	One of chains or startUrls	Business menu URLs. Location /store/ links are skipped
itemContains	No	Case-insensitive filter on the item name
maxItems	No	Stop after this many rows. Default 40, maximum 2000

Input example

{
  "chains": ["chipotle-115"],
  "maxItems": 40
}

{
  "startUrls": [
    { "url": "https://www.doordash.com/business/chipotle-115/menu/" }
  ],
  "itemContains": "bowl",
  "maxItems": 20
}

Output

Field	Description
chainName	Chain name from the menu page
chainSlug	Business slug
section	Menu section
itemName	Item name
description	Card description, when the page has one
price	Estimated price in USD
priceText	Price label from the card
currency	USD
menuUrl	Business menu URL
scrapedAt	UTC time the menu was parsed

Output example

{
  "chainName": "Chipotle Mexican Grill",
  "chainSlug": "chipotle-115",
  "section": "Entree",
  "itemName": "Burrito",
  "description": "Your choice of freshly grilled meat or sofritas wrapped in a warm flour tortilla.",
  "price": 11.65,
  "priceText": "$11.65",
  "currency": "USD",
  "menuUrl": "https://www.doordash.com/business/chipotle-115/menu/",
  "scrapedAt": "2026-09-23T18:00:00+00:00"
}

Use cases

• Menu audit — export every item and section for one chain
• Price snapshot — keep the estimated price next to the item name for a weekly check
• Assortment research — filter to bowls, drinks, or another name fragment

Integration examples

Replace APIFY_TOKEN with your Apify token. The Actor name is crawloop/doordash-menu-scraper.

Node.js

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor("crawloop/doordash-menu-scraper").call({
  chains: ["chipotle-115"],
  maxItems: 40,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("crawloop/doordash-menu-scraper").call(run_input={
    "chains": ["chipotle-115"],
    "maxItems": 40,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

cURL

curl "https://api.apify.com/v2/acts/crawloop~doordash-menu-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d "{\"chains\":[\"chipotle-115\"],\"maxItems\":40}"

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call this Actor by its Store name.

Example prompts:

• "Run DoorDash Menu Scraper for chipotle-115 and return item name, section, and price as JSON"
• "Scrape the DoorDash business menu for mcdonalds-5579 and list drinks under $4"
• "Pull DoorDash chain menu items for chipotle-115, max 40 rows, and group them by section"
• "Chain DoorDash Menu Scraper for chipotle-115, then Walmart Scraper for the same items in ZIP 10001"

Suite next step

After chain menu prices, run Walmart Scraper for ZIP-local grocery and retail comps. For weekly circulars, use Aldi Weekly Ad Scraper in the US or Lidl Weekly Offers Scraper in Europe.

Related Actors

• DoorDash Menu Scraper ◄── you are here
• Walmart Scraper — ZIP-local Walmart prices and stock
• Aldi Weekly Ad Scraper — ALDI US weekly ad and ALDI Finds
• Lidl Weekly Offers Scraper — Lidl weekly leaflets

FAQ

Does this read a single restaurant's local price?
No. It reads the chain business menu. The price is the estimate on that page, not the checkout price at one address.

Can I paste a /store/ link?
The Actor skips location store URLs and does not open them.

What if the slug is wrong?
A slug that is not a business menu saves no rows for that chain. Other chains in the same run still continue.

How many chains per run?
Up to 15. maxItems caps the combined rows.