Ulta Beauty Store Data Scraper

Extract full Ulta Beauty store data — address, phone number, geolocation, weekly hours, curbside hours, mall name, timezone, in-store services, and every brand carried — from any Ulta store page URL. No coding, no CSS selectors, no browser required: just paste in store URLs and run.

What is Ulta Beauty Store Data Scraper?

Ulta Beauty Store Data Scraper is an Apify Actor that turns a list of Ulta Beauty store page URLs into structured JSON data — one clean record per store. It reads the same schema.org / JSON-LD markup and store-locator widget data that Ulta publishes on each store page, so the data is accurate, structured, and ready to export.

Give it URLs like https://www.ulta.com/stores/abilene-tx-409 (typically produced by the Ulta Beauty Store Links Actor) and it returns each store's address, phone, latitude/longitude, timezone, mall name, weekly opening hours, curbside-pickup hours, service availability, and brand assortment — in seconds.

What can Ulta Beauty Store Data Scraper do?

• 📍 Extract full store metadata — address, phone, geolocation, and IANA timezone for every store URL you provide
• 🕒 Pull weekly store hours and curbside-pickup hours as structured day-by-day entries
• 🛍️ Detect in-store services — makeup, hair, brow, and skin services, ear piercing, in-store pickup, curbside pickup, same-day delivery, in-store shopping, wellness shop, and beauty-packaging collection
• 🏷️ List every brand a store carries, plus brands coming soon
• ⚡ Run URLs concurrently with an adjustable maxConcurrency setting for faster crawls
• 📤 Export to JSON, CSV, Excel, HTML, or XML directly from the Apify platform
• 🕐 Timestamp every record with the exact UTC extraction time, so you always know how fresh the data is
• ☁️ Run on autopilot — schedule recurring runs, trigger via the Apify API, and monitor runs from the Apify Console
• 🔌 Integrate anywhere — connect to Zapier, Make, Google Sheets, and other tools through Apify Integrations, or pull results straight from the Dataset API
• 🌐 Built-in proxy support — route requests through Apify Proxy to stay reliable at scale

Free vs. Premium: how many Ulta stores can I scrape per run?

This is the most important thing to know before you run this Actor:

Plan	Store URLs processed per run
Free / non-paying Apify account	Only the first 5 URLs in your links input are processed — the rest are silently skipped
Paid Apify account (Premium)	Unlimited — every URL you provide in links is processed, with no cap

The Actor checks your Apify account's plan automatically at the start of every run (via Actor.get_env().user_is_paying). If your account is not on a paid plan, it deduplicates your links array and keeps only the first 5 unique URLs, logging a warning in the run log so you know the limit was applied. Paid accounts have this cap fully removed — you can pass in hundreds or thousands of store URLs and every one of them will be scraped, subject only to your maxConcurrency setting and run timeout.

In short: if you want to bulk-extract data for an entire Ulta store directory or a large multi-state list of locations, you'll need a paid Apify plan. For testing the Actor on a handful of stores, the free tier works fine.

What store data does Ulta Beauty Store Data Scraper extract?

Field	Description
name	Store brand name
branch	Ulta's internal store/branch number
street, city, state, zipcode, country	Full store address
phone	Store phone number
latitude, longitude	Store geolocation coordinates
timezone	Store's IANA timezone (e.g. America/Chicago)
mall_name	Mall or shopping center name, if applicable
hours	Weekly opening hours as { day, opens, closes } entries
curbside_hours	Separate curbside-pickup hours, if published
makeup_services, hair_services, brow_services, skin_services, ear_piercing	Booleans for available in-store services
in_store_pickup, curbside_pickup, same_day_delivery, in_store_shopping	Booleans for fulfillment options
wellness_shop, beauty_packaging_collection	Booleans for additional store features
brands	Full list of brands currently carried at this store
brands_coming_soon	Brands scheduled to arrive at this store
extraction_datetime	UTC timestamp (ISO 8601) of exactly when the record was extracted
extraction_date	Extraction date in mm-dd-yyyy format, for easy filtering by scrape day

How do I scrape Ulta Beauty store hours, address, and phone number?

1. Get Ulta store page URLs — run the Ulta Beauty Store Links Actor, or collect them yourself from the Ulta store directory.
2. Open this Actor's Input tab and paste the URLs into the links field (one per line, or as an array).
3. Optionally adjust maxConcurrency — how many store pages fetch in parallel (default 5, max 20).
4. Click Start.
5. When the run finishes, open the Output tab and export your data as JSON, CSV, Excel, or HTML.

Input

The Actor takes two input fields — see the Input tab for the full form:

• links (required) — an array of Ulta Beauty store page URLs to extract data from, e.g. https://www.ulta.com/stores/abilene-tx-409. These typically come straight from the Ulta Beauty Store Links Actor's output.
• maxConcurrency (optional, default 5, max 20) — how many store pages to fetch in parallel. Higher values finish faster; lower values are gentler on Ulta's servers and reduce the risk of being rate-limited.

Remember: free-plan accounts only process the first 5 URLs per run — see the Free vs. Premium section above.

Output example

{
    "url": "https://www.ulta.com/stores/abilene-tx-409",
    "name": "Ulta",
    "branch": "409",
    "street": "4310 Buffalo Gap Road, # 31",
    "city": "Abilene",
    "state": "TX",
    "zipcode": "79606",
    "country": "US",
    "phone": "+1 325-691-1394",
    "latitude": 32.4008496,
    "longitude": -99.7619005,
    "timezone": "America/Chicago",
    "mall_name": "Mall of Abilene",
    "hours": [
        { "day": "Mon", "opens": "10:00", "closes": "21:00" },
        { "day": "Sun", "opens": "10:00", "closes": "19:00" }
    ],
    "curbside_hours": null,
    "makeup_services": true,
    "hair_services": true,
    "brow_services": null,
    "skin_services": null,
    "ear_piercing": true,
    "in_store_pickup": true,
    "curbside_pickup": false,
    "same_day_delivery": false,
    "in_store_shopping": true,
    "wellness_shop": true,
    "beauty_packaging_collection": true,
    "brands": ["Makeup Revolution", "ARMANI", "CHANEL", "MAC", "..."],
    "brands_coming_soon": ["Bath & Body Works", "Sam Edelman", "..."],
    "extraction_datetime": "2026-07-24T14:30:00.123456+00:00",
    "extraction_date": "07-24-2026"
}

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

Use cases

• Store locator apps — power a store-finder page with live address, hours, and geolocation data
• Competitive & market research — track which brands each Ulta location carries and where new brands are launching first
• Retail location intelligence — build datasets of store density, mall placements, and service availability by region
• Hours and service monitoring — schedule recurring runs to catch changes in curbside pickup, wellness shop availability, or holiday hours
• Data enrichment — append verified phone numbers, timezones, and coordinates to an internal store database
• Beauty brand distribution analysis — see exactly which stores carry a given brand, or which brands are "coming soon" across a region

Ulta Beauty-related Actors

Actor	What it does
Ulta Beauty Store Links	Crawls the Ulta store directory and outputs the store page URLs this Actor needs as input

FAQ

Is it legal to scrape Ulta Beauty store data?

This Actor only extracts publicly available data — the same structured schema.org/JSON-LD data and store-locator widget data that Ulta Beauty already publishes on its public store pages for search engines and browsers to read. It does not access any account-gated or private information. That said, you're responsible for reviewing Ulta's Terms of Service and applicable laws before scraping, and for how you use the resulting data. See the Apify blog post on the legality of web scraping for more background.

How many stores can I scrape for free?

Free Apify accounts are limited to the first 5 store URLs per run. Upgrading to a paid Apify plan removes this cap entirely — see Free vs. Premium above for full details.

Can I get Ulta store data through an API instead of the Console?

Yes. Every Apify Actor run — including this one — can be triggered and its results retrieved through the Apify API and official SDKs for JavaScript and Python. You can also schedule recurring runs and connect results to Zapier, Make, or Google Sheets via Apify Integrations.

What if a store URL fails or gets blocked?

Links that fail or are blocked by anti-bot protection are automatically skipped and logged — they don't stop the rest of the run. The run only fails if no link succeeds. Check the run log for a summary of how many stores were extracted, blocked, or failed.

Do I need the Ulta Beauty Store Links Actor first?

Not strictly — you can supply any valid Ulta store page URL yourself. But pairing this Actor with Ulta Beauty Store Links lets you go from "every store in a region" to "every store's full metadata" in two clicks, without manually collecting URLs.

Why are some service fields null?

Fields like brow_services or skin_services are null when Ulta doesn't publish that information for a given store — it's not a missing-data error, it simply means the store page doesn't declare that service either way.

Support

Found a bug, a store page format Ulta changed, or a missing field you need? Open an issue on this Actor's Issues tab in Apify Console and it'll be looked at. Need a custom scraper, a different data shape, or ongoing monitoring set up for you? Reach out through the Actor's Contact developer button on its Store page.