Dollar Tree Store Locator Scraper

Scrape every Dollar Tree store page URL in the United States, straight from the official Dollar Tree store locator — no coding, no CSS selectors, no coordinates required.

What is Dollar Tree Store Locator Scraper?

Dollar Tree Store Locator Scraper is an Apify Actor that extracts store page links for every Dollar Tree location across the US. It crawls the store locator directory in three levels — states, then cities, then individual stores — and returns a clean, deduplicated dataset of store URLs, each ready to feed into a second-stage scraper for address, phone, hours, and geolocation data.

It's built for anyone who needs a complete, up-to-date list of Dollar Tree store URLs — no manual browsing, no rate-limit guesswork, and no anti-bot headaches.

What can Dollar Tree Store Locator Scraper do?

• 🔍 Auto-discover every store — crawls all 49 states and hundreds of cities without any start URLs or coordinates.
• ⚙️ Cap or resume runs — use maxResults, startIndex, and excludeUrls to limit a run or pick up exactly where a previous one left off, without paying twice for links you already have.
• 🛡️ Anti-bot aware — detects WAF/CAPTCHA challenge pages and logs a graceful skip instead of crashing the run.
• 🕒 Timestamped extraction — every record is stamped with a UTC extraction date and time, so you always know how fresh the data is.
• 📤 Multiple export formats — download results as JSON, CSV, Excel, HTML, or XML directly from the Output tab.
• ☁️ Full Apify platform integration — run on demand or on a schedule, trigger via the API or CLI, monitor runs, and connect to Zapier, Make, and other integrations without writing glue code.

What data does Dollar Tree Store Locator Scraper extract?

Field	Description	Example
url	Store page URL on the Dollar Tree store locator	https://locations.dollartree.com/ak/anchorage/dollar-tree-anchorage-ak-4715
coordinate	Label of the discovery source (static source for the default crawl)	static source
extraction_datetime	UTC timestamp when the link was extracted (ISO 8601)	2026-07-21T14:30:00.123456+00:00
extraction_date	Extraction date in mm-dd-yyyy format	07-21-2026

Each url is ready to be fed into a store-detail scraper (like the companion Dollar Tree Store Details Scraper Actor) to pull address, phone number, geolocation, and opening hours for every location.

How do I scrape Dollar Tree store links?

1. Click Try for free (or Start if you already have the Actor).
2. Open the Input tab — no fields are required, so you can run it as-is.
3. (Optional) Set Max results to cap how many links this run collects.
4. (Optional) If you've already collected links in an earlier run, set Start index and/or Exclude collected URLs so you don't pay again for links you already have.
5. Click Start and watch the run progress in real time.
6. When the run finishes, open the Output tab and export your dataset as JSON, CSV, Excel, or HTML.

That's it — no start URLs, no proxy setup, and no store-by-store searching required.

Input

All input fields are optional — a first run needs nothing but a click on Start. The Actor accepts:

• Max results — the maximum number of unique store links to collect in this run (0 = unlimited, crawls the whole US directory).
• Start index — skip this many results by position before saving any, useful for paginating across separate runs. Links are always discovered in the same stable order (states → cities → stores), so a given index is reproducible run to run.
• Exclude collected URLs — a list of store URLs you already have; any URL on this list is never saved again, regardless of crawl order.

See the Input tab on the Actor page for the full form, or call the Actor via the Apify API with a JSON body matching these fields.

Output example

{
  "url": "https://locations.dollartree.com/ak/anchorage/dollar-tree-anchorage-ak-4715",
  "coordinate": "static source",
  "extraction_datetime": "2026-07-21T14:30:00.123456+00:00",
  "extraction_date": "07-21-2026"
}

You can download the full dataset in JSON, CSV, Excel, HTML, or XML format from the Output tab, or pull it programmatically via the Dataset API.

Use cases

• Feed a store-detail scraper — pass every URL to the Dollar Tree Store Details Scraper to extract address, phone, hours, and geolocation for each Dollar Tree location.
• Build a store-locator dataset for market research, competitive analysis, or retail site-selection studies.
• Monitor store openings/closings over time by re-running on a schedule and diffing successive datasets.
• Power a local-inventory or "find a store near me" feature in your own app using a always-fresh list of store URLs.
• Feed BI tools and spreadsheets — export straight to CSV/Excel for reporting, or pipe into a data warehouse via the API.

Dollar Tree-related Actors

Actor	What it does
Dollar Tree Store Locator Scraper (this Actor)	Collects every Dollar Tree store page URL in the US
Dollar Tree Store Details Scraper	Takes store links and extracts address, phone, geolocation, and hours

FAQ

Is it legal to scrape Dollar Tree store locator data?

Dollar Tree Store Locator Scraper only collects publicly available data — the same store-locator pages served to any visitor of the Dollar Tree website. Scraping public data is generally considered legal, but you're responsible for reviewing the target site's Terms of Service and applicable laws before using the extracted data, especially for commercial purposes. This Actor does not bypass logins, paywalls, or access controls.

Does this Actor have an API?

Yes. Every Apify Actor, including this one, is automatically exposed as a REST API. You can start runs, check status, and fetch results programmatically — see the Apify API docs — or trigger runs on a schedule, or connect it to Zapier / Make without writing any code.

Why did my run collect fewer links than expected?

Two common reasons: you're on the free plan, which caps runs at 10 links (upgrade to remove the cap), or the store locator returned an anti-bot challenge page for one or more state/city pages — those are logged and skipped gracefully rather than failing the whole run.

Can I resume a run without paying for links I already collected?

Yes. Use Start index to skip a stable number of already-collected results by position, or Exclude collected URLs to skip specific URLs regardless of order. The Actor also automatically checkpoints progress within a single run, so a migration or restart mid-run won't re-charge you for links it already pushed.

Support

Found a bug or have a feature request? Open an issue on the Actor's Issues tab in Apify Console. Need a custom version of this scraper — different fields, a different retailer, or a fully managed pipeline? Reach out via Apify Console and we can scope a custom solution.