Chipotle Restaurant Details Scraper

What is Chipotle Restaurant Details Scraper?

Chipotle Restaurant Details Scraper is an Apify Actor that extracts full restaurant details for Chipotle US and Canada locations — name, street address, city, state, ZIP code, phone number, GPS coordinates, and opening hours — from the structured data embedded in each locations.chipotle.com restaurant page.

It takes a list of Chipotle restaurant page URLs as input — typically the output of the Chipotle Locations Scraper Actor — and returns one clean, structured JSON record per restaurant, ready to export to JSON, CSV, or Excel.

What can Chipotle Restaurant Details Scraper do?

• 📍 Extract full address, city, state, and ZIP code for any Chipotle store page
• ☎️ Pull the restaurant's phone number
• 🌐 Pull precise GPS latitude/longitude coordinates
• 🕒 Extract raw opening hours, including per-day schedules
• 📥 Accept bulk input — paste hundreds of Chipotle store URLs at once
• ⚙️ Control concurrency to balance speed vs. reliability
• 🔄 Run on a schedule to keep restaurant data fresh over time
• 🔌 Trigger runs and fetch results via the Apify API or SDKs (Python, JavaScript)
• 🔗 Integrate with Zapier, Make, and other Apify integrations
• 📊 Monitor runs and get alerted on failures directly from the Apify Console

What data does Chipotle Restaurant Details Scraper extract?

Field	Description
name	Restaurant name (e.g. "Chipotle Mexican Grill")
street	Street address
city	City
state	State / province code
zipcode	ZIP / postal code
phone	Restaurant phone number
latitude	GPS latitude
longitude	GPS longitude
hours_raw	Raw opening hours (weekly schedule + per-day specification)
store_number	Chipotle's internal store number (parsed from the store's email address)
yext_entity_id	Yext entity ID for the store page (Yext powers locations.chipotle.com)
email	Store contact email address
url	Source restaurant page URL
extraction_datetime	Timestamp (UTC, ISO 8601) when the record was extracted
extraction_date	Extraction date (mm-dd-yyyy)

How do I scrape Chipotle restaurant details?

1. Run the Chipotle Locations Scraper Actor (or otherwise collect Chipotle restaurant page URLs).
2. Open this Actor's Input tab and paste the URLs into the links field.
3. Optionally adjust maxConcurrency (default: 5) to control how many pages are fetched in parallel.
4. Click Start and download your results from the Output tab in JSON, CSV, or Excel.

Input

This Actor takes two simple inputs:

• Restaurant URLs (links, required) — a list of Chipotle restaurant page URLs, e.g. https://locations.chipotle.com/al/birmingham/300-20th-st-s. Typically produced by the Chipotle Locations Scraper Actor.
• Max concurrency (maxConcurrency, optional, default 5) — how many restaurant pages are fetched in parallel. Higher values finish faster; lower values are gentler on the source site and more reliable.

Free vs. paid Apify account: what changes?

This Actor behaves the same way for everyone — the only difference is how many restaurant URLs get processed per run, based on your Apify account plan:

	Free plan	Paid plan
URLs processed per run	First 5 URLs only (extra URLs in your input are ignored)	All URLs you provide — no cap
Concurrency control (maxConcurrency)	✅ Available	✅ Available
Output fields	Same full set (address, phone, GPS, hours)	Same full set (address, phone, GPS, hours)
Scheduling, API access, integrations	✅ Available	✅ Available

If you're on the free plan and need to process a full list of URLs, either upgrade your Apify plan or split your URLs into batches of 5 and run the Actor multiple times.

Output example

{
  "url": "https://locations.chipotle.com/al/auburn/1700-opelika-rd",
  "name": "Chipotle Mexican Grill",
  "street": "1700 Opelika Rd",
  "city": "Auburn",
  "state": "AL",
  "zipcode": "36830",
  "phone": "+13344661903",
  "latitude": 32.6250055,
  "longitude": -85.4452043,
  "hours_raw": {
    "openingHours": ["Mo,Tu,We,Th,Fr,Sa,Su 10:45-23:00"],
    "openingHoursSpecification": [
      {
        "@type": "OpeningHoursSpecification",
        "dayOfWeek": "https://schema.org/Monday",
        "opens": "10:45",
        "closes": "23:00"
      }
    ]
  },
  "store_number": "5255",
  "yext_entity_id": "1066793958",
  "email": "AL.5255.AuburnMall@chipotle.com",
  "extraction_datetime": "2026-07-22T02:13:06.147276+00:00",
  "extraction_date": "07-22-2026"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Use cases

• Store locator data — power an internal store finder or map with accurate Chipotle address and GPS data.
• Franchise & market research — analyze Chipotle's store footprint, density, and hours by state or region.
• Data enrichment — enrich an existing list of Chipotle locations with phone numbers, coordinates, and hours.
• Competitive intelligence — track opening hours and store counts alongside other QSR chains.
• Logistics & delivery integrations — feed accurate restaurant addresses and coordinates into routing or delivery systems.

Chipotle-related Actors

Actor	What it does
Chipotle Locations Scraper	Collects the list of Chipotle restaurant page URLs — feed its output into this Actor
Chipotle Restaurant Details Scraper (this Actor)	Extracts full details for each Chipotle restaurant URL

FAQ

Is it legal to scrape Chipotle restaurant data?

This Actor only extracts publicly available, structured data (schema.org markup) already published on Chipotle's own restaurant pages, similar to what search engines index. Scraping public data is generally legal, but you're responsible for complying with the target site's Terms of Service and applicable laws in your jurisdiction. Avoid scraping personal data or content behind a login.

Does this Actor have an API?

Yes. Every Apify Actor is automatically exposed as an API. You can start runs, retrieve results, and integrate this Actor into your own applications using the Apify API or the official SDKs for Python and JavaScript.

Can I schedule this Actor to run automatically?

Yes. Use the Apify Console's Scheduler to run this Actor on a recurring basis, so your Chipotle restaurant data stays up to date without manual intervention.

Why did some restaurant URLs return no data?

A small number of pages may be temporarily blocked by anti-bot protection or missing the expected structured data. Re-running the Actor for those specific URLs usually resolves transient issues.

What if I need something more custom?

If you need a modified version of this Actor — different fields, a different Chipotle domain, or a fully custom scraper — reach out via the Issues tab or request a custom solution from the Apify team.

Support

Found a bug or have a feature request? Open an issue on this Actor's Issues tab in Apify Console. For custom scraping solutions tailored to your needs, contact Apify or the Actor's developer directly.