Taco Bell Menu Prices Scraper

Export Taco Bell menu prices from the anonymous US public menu into structured product rows. Refresh menu assortment snapshots for restaurant research, spreadsheet comparisons and downstream data pipelines.

These are default public prices, not restaurant-specific prices. Every row explicitly includes storeId: null and priceScope: "default-public-menu". There is no store search, ordering, account login, built-in price history or change alert service.

What does it extract?

One row per unique top-level menu product across your selected food categories. Product codes are deduplicated globally, in category order. Ingredients inside combos are not separate products.

Field	Meaning
productId, name	Official product code and displayed name
price, currency, displayedPrice	Numeric default price, USD currency and source formatting
calories	Source calorie text, preserving ranges; null if missing
imageUrls	Source image URLs; no image downloads
url	Canonical official product link
sourceCategory, sourceUrl	First requested category supplying this product
storeId, priceScope	Explicit non-local price provenance
scrapedAt	Category extraction time in ISO format

Who is it for?

Restaurant analysts can compare assortment between saved snapshots. Researchers can join prices and calorie text by stable product code. Data teams can feed CSV exports or JSON datasets into their existing reporting workflow.

Why use this Actor?

The export distinguishes anonymous public pricing from local quotes instead of implying that national prices apply to every restaurant. Category provenance and timestamps make independently collected snapshots easier to audit. It extracts official structured page data without downloading media or launching a browser.

Getting started

1. Keep the default tacos category or choose supported category slugs.
2. Set a global maximum number of unique products.
3. Start the Actor and wait for its final status.
4. Open the default dataset, inspect the price scope, then download JSON, CSV or Excel using Apify's export controls.

{"categories":["tacos"],"maxItems":100}

Inputs and matching semantics

Input	Default	Behavior
categories	["tacos"]	Exact, case-sensitive category slugs; 1–17 entries. Duplicate categories are fetched once. No keyword search or substring matching.
maxItems	100	Global unique-product cap after deduplication, integer 1–1000. Console prefill: 20. Zero is invalid. Does not increase upstream assortment.

Supported categories: breakfast, best-sellers, cantina-chicken-menu, featured, online-exclusives, boxes-and-combos, party-packs, specialties, tacos, burritos, quesadillas, nachos, luxe-value-menu, snacks-sweets, drinks, bowls, vegetarian.

Only these inputs are supported. Unknown fields, store IDs and arbitrary URLs are rejected rather than silently ignored. A selected category is fetched as a whole page; exporting one row may still require a whole category request. Products shared across categories retain the first encountered source category, not an exhaustive membership list.

Output example

A representative official public menu record observed during development is shown below. Prices and assortment can change.

{
  "productId": "22100",
  "name": "Crunchy Taco",
  "price": 1.99,
  "currency": "USD",
  "displayedPrice": "$1.99",
  "calories": "170",
  "imageUrls": ["https://www.tacobell.com/images/22100_crunchy_taco_269x269.jpg"],
  "url": "https://www.tacobell.com/food/tacos/crunchy-taco",
  "sourceCategory": "tacos",
  "sourceUrl": "https://www.tacobell.com/food/tacos",
  "storeId": null,
  "priceScope": "default-public-menu",
  "scrapedAt": "2026-10-26T15:00:00.000Z"
}

How much does it cost to extract Taco Bell menu prices?

Pay-per-event pricing includes a $0.005 start fee and a per-product fee. The BRONZE product price is $0.00181 per product. At this BRONZE rate, 1 product costs $0.00681, 25 cost $0.05025, and 100 cost $0.186. These are estimated Actor event charges, not local restaurant food prices.

Apify Store discount tier	Per product
FREE	$0.0020815
BRONZE	$0.00181
SILVER	$0.0014118
GOLD	$0.001086
PLATINUM	$0.001086
DIAMOND	$0.001086

Discount tiers follow your qualifying aggregate monthly Store spend under Apify's rules, not a private per-Actor volume schedule. The start fee is the same across tiers.

Only unique exported product rows receive the product event. Duplicates and rejected records do not. A valid started run can incur the start fee even if the upstream page later fails. Apify account/platform charges can apply separately. Check the live pricing panel before running.

Limits and failure behavior

The observed menu is a snapshot, not guaranteed nationwide availability or an orderable quote. Some menu pages may differ by time or source configuration. Local store prices, customized products, dietary guarantees, full nutrition panels, ingredient variants and delivery pricing are outside scope.

The Actor uses US datacenter proxy access automatically, with at most three fresh sessions per category for transient responses, challenges or an unexpected selected-store page. A selected-store response is discarded, never relabeled as public-default pricing. It has no automatic residential fallback. Requests are sequential and bounded by a 30-second request timeout. Missing structured data, empty unexpected categories, invalid product records or a selected-store context cause an explicit failed run rather than fabricated output. Failed runs can contain partial rows from earlier categories; do not treat those as a complete export.

Integrations

Use Apify's dataset download to load CSV into a spreadsheet, or fetch JSON into a warehouse job. An Apify schedule can refresh snapshots, and your own external workflow can compare productId and price across runs. This Actor does not retain historical snapshots or calculate change alerts itself. The RUN_STATS key-value record exposes requests, response bytes, retries, scanned products and saved rows for diagnostics.

API usage

Use an Apify API token from your account; do not put it into public code or screenshots. The synchronous endpoint below is suitable for a short request; use asynchronous run polling for larger workflows.

curl -X POST 'https://api.apify.com/v2/acts/automation-lab~taco-bell-menu-prices/run-sync-get-dataset-items' \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"categories":["tacos"],"maxItems":100}'

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/taco-bell-menu-prices').call({
  categories: ['tacos'], maxItems: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems({ limit: 100 });
console.log(items);

import os
from apify_client import ApifyClient
client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('automation-lab/taco-bell-menu-prices').call(
    run_input={'categories': ['tacos'], 'maxItems': 100})
items = client.dataset(run['defaultDatasetId']).list_items(limit=100).items
print(items)

MCP use with AI assistants

Select this stable Actor-specific endpoint, not an unqualified growing tool catalog:

claude mcp add --transport http apify \
  'https://mcp.apify.com?tools=automation-lab/taco-bell-menu-prices'

Claude Desktop, Cursor, and VS Code: use equivalent desktop/editor client configuration where HTTP transport is supported:

{"mcpServers":{"apify":{"type":"http","url":"https://mcp.apify.com?tools=automation-lab/taco-bell-menu-prices"}}}

Authenticate as required by your client. Discover actual names and argument schemas with read-only tools/list; Actor selection also exposes run, dataset, key-value and abort helpers, not exactly one tool. Discovery is not permission to execute or abort.

Example prompt: “Export public default Taco Bell tacos, up to 25 products, then show product name, price and calories. Explain that these are not store quotes.”

For an authorized invocation, start once and retain its run ID, status and storage IDs. Those IDs are metadata, not result rows. call-actor waits at most 45 seconds (default 30). If still running, check the same run with get-actor-run, backing off 2, 4, 8 seconds capped at 10, with a total 120-second deadline and client timeout exceeding the selected server wait plus transport margin. On client timeout recover the known run; never restart merely to poll. If its ID is unknown, report uncertainty. At the deadline report pending with its ID and stop.

After success, fetch get-dataset-items from the returned dataset ID with explicit limit, offset and required fields. Example consumer budget: 20 source rows per page, at most 100 rows and 64 KiB UTF-8 serialized content admitted to model context across all pages, whichever comes first. Enforce byte limits host-side before model injection, even for an oversized page; otherwise do not claim a hard byte guarantee. Track source offsets rather than transformed row counts. Report partial/truncated status and continuation offset when stopped at a budget. Failed runs remain failures even if partial rows exist. Full exports belong in storage/downstream processing, not model context. Tool discovery and caching behavior depend on the client; no numeric token-savings guarantee is made.

Legality and responsible use

This independent tool is not affiliated with Taco Bell. Respect source terms, applicable laws, data rights and reasonable request volumes. Public accessibility does not establish unrestricted reuse rights. Do not use default menu prices as a consumer order quote or nutritional/medical advice.

Diagnostics and privacy

Failed operations send sanitized diagnostic input, exceptions and Actor/build/run IDs to our private GlitchTip service for repair. Secret fields and URL queries are removed; reports are retained for 30 days. No account credentials or customer restaurant selections are required by this Actor. The runtime uses no AI model. Apify hosts datasets, logs and key-value records under your account storage retention settings; delete them through Apify storage controls when no longer needed. No cross-run cache or history is retained by this Actor. US datacenter proxy traffic and private diagnostic processing are operated at our expense. For help, open the Actor's Apify Store Issues tab.

FAQ and troubleshooting

Can I select a ZIP code or restaurant? No. This Actor intentionally extracts only the public default US menu.

Why did I get fewer rows than maxItems? The cap is not a target. A category has a finite assortment, and products shared by categories are deduplicated.

Why did a run fail after producing rows? A later category may have been blocked or changed shape. Earlier rows are partial output; inspect the failure message before reuse.

Are images downloaded? No, only official image URLs are exported.

Can I monitor price changes? Save separate runs using your own schedule and comparison workflow. Built-in history and alerts are not provided.

Related workflows

This is a standalone source-specific data product. It does not require another Actor, a restaurant ordering service or a purchased dataset. Use standard Apify datasets, schedules and webhooks to connect it to your own analysis pipeline.