Dollar Tree Store Details Scraper

Extract complete Dollar Tree store details — address, phone number, GPS coordinates, opening hours, amenities, and SEO metadata — from any Dollar Tree store locator page URL. Feed it a list of store links (typically the output of the Dollar Tree Store Locator Scraper) and get back clean, structured JSON data ready for mapping, lead generation, competitive research, or your own database.

No coding required to run it, but it's built for developers too: call it via the Apify API, schedule recurring runs, and pipe results straight into your stack through Zapier, Make, or a webhook.

🌳 What is Dollar Tree Store Details Scraper?

Dollar Tree Store Details Scraper is an Apify Actor that turns a list of Dollar Tree store page URLs into a structured dataset of everything published on each store's public page. It's the companion tool to the Dollar Tree Store Locator Scraper (which discovers store URLs by location) — chain the two together and go from "every Dollar Tree in a state" to a full, ready-to-use spreadsheet of store data in minutes.

🔍 What can Dollar Tree Store Details Scraper do?

• 📍 Extract full store profiles — name, street address, city, state, ZIP code, phone number, latitude/longitude, and raw opening hours for each store page you give it.
• 🏷️ Pull store amenities and services — EBT acceptance, frozen/refrigerated foods, snack zone, Hallmark greeting cards, BOPIS, and more, both as boolean flags and as a human-readable list.
• 🔗 Grab the Google Maps business link and SEO metadata (meta_title, meta_description, marketing description) straight from each store page.
• ⏱️ Timestamp every record with the exact extraction date and time (UTC), so you always know how fresh your data is.
• 🚦 Skip blocked or failed links gracefully — anti-bot blocks and fetch errors are logged and skipped instead of crashing the whole run.
• 📤 Export in multiple formats — download results as JSON, CSV, Excel, or HTML directly from the Output tab.
• 🔌 Automate with the Apify API and SDK — trigger runs programmatically, schedule recurring extractions, and integrate with Zapier, Make, or any webhook-based workflow.
• 📊 Monitor every run from the Apify Console — logs, stats, and dataset previews without touching a server.

🗂️ What data does Dollar Tree Store Details Scraper extract?

Field	Description
name	Store brand name
store_id	Dollar Tree's internal store number
street, city, state, zipcode	Full store address
phone	Store phone number
latitude, longitude	GPS coordinates
hours_raw	Raw opening-hours object, as embedded in the store page
geomodifier	Store's local name modifier (e.g. area or shopping center name)
description	Store's marketing description
meta_title, meta_description	SEO title/description from the store page
google_maps_url	Direct link to the store's Google Business Profile
has_ebt, has_frozen, has_snack, has_hallmark_greeting_cards, has_more_choices, has_bopis	Boolean amenity/service flags
amenities	Same amenities as a human-readable list
url	The original store page URL that was scraped
extraction_datetime, extraction_date	UTC timestamp of when the record was extracted

🚀 How do I scrape Dollar Tree store details?

1. Run the Dollar Tree Store Locator Scraper (or otherwise collect Dollar Tree store page URLs yourself).
2. Open this Actor's Input tab and paste your URLs into the links field.
3. Optionally adjust maxConcurrency to control how many stores are fetched in parallel (default: 5).
4. Click Start.
5. When the run finishes, open the Output tab and download your data as JSON, CSV, Excel, or HTML — or pull it programmatically via the Apify API.

⚙️ Input

This Actor takes two inputs:

• Store page URLs (links) — a list of Dollar Tree store page URLs to extract metadata from, e.g. https://locations.dollartree.com/al/albertville/7661-highway-431-ste-300. This is a required field; it works best when populated with the output of the Dollar Tree Store Locator Scraper. (Free-plan runs process only the first 5 links.)
• Max concurrency (maxConcurrency) — how many stores are fetched in parallel. Higher values finish faster but slightly increase the chance of anti-bot blocks. Default is 5, with a maximum of 20.

Example input:

{
    "links": ["https://locations.dollartree.com/al/albertville/7661-highway-431-ste-300"],
    "maxConcurrency": 5
}

🔓 Free vs. paid plan

	Free Apify account	Paid Apify account
Links processed per run	First 5 unique links only	All links you submit — no cap
Store details, amenities, SEO metadata, timestamps	✅ Full data	✅ Full data
Max concurrency	Up to 20	Up to 20

If you're on a free Apify account and submit more than 5 links, the Actor automatically keeps only the first 5 unique ones, logs a warning, and still completes the run successfully — just with a smaller dataset. Upgrade your Apify plan to remove this cap and process your entire list of store links in a single run.

📦 Output example

Each dataset item looks like this:

{
    "url": "https://locations.dollartree.com/al/albertville/7661-highway-431-ste-300",
    "name": "Dollar Tree",
    "store_id": "8553",
    "street": "7661 Highway 431, Ste 300",
    "city": "Albertville",
    "state": "AL",
    "zipcode": "35950",
    "phone": "(256) 559-3081",
    "latitude": 34.2345,
    "longitude": -86.1589,
    "hours_raw": { "monday": { "openIntervals": [{ "start": "09:00", "end": "21:00" }] } },
    "geomodifier": "Albertville BTS",
    "description": "From inspiring craft and party supplies to everyday essentials and beyond, Dollar Tree at Albertville, AL is your go-to for all things affordable! ...",
    "meta_title": "Dollar Tree Store at Albertville BTS in Albertville, AL",
    "meta_description": "Shop for groceries, household goods, toys, and more at your local Dollar Tree Store at Albertville BTS in Albertville, AL",
    "google_maps_url": "https://maps.google.com/?cid=12702145241973651821",
    "has_ebt": true,
    "has_frozen": true,
    "has_snack": true,
    "has_hallmark_greeting_cards": true,
    "has_more_choices": true,
    "has_bopis": false,
    "amenities": ["FROZEN/REFRIGERATED_FOODS", "SNACK_ZONE™", "GREETING_CARDS:_EXPRESSIONS_FROM_HALLMARK", "ACCEPTS_EBT", "NEW_ITEMS,_GREAT_VALUE"],
    "extraction_datetime": "2026-07-21T14:30:00.123456+00:00",
    "extraction_date": "07-21-2026"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel from the Output tab, or fetch it programmatically via the Apify API.

💡 Use cases

• Market research & site selection — analyze Dollar Tree's store footprint, density, and amenities by state or region before opening a competing location.
• Store locator apps — power a "find your nearest Dollar Tree" feature with fresh address, phone, and geolocation data.
• Lead generation — build outreach lists for vendors, franchise consultants, or local advertisers targeting specific Dollar Tree stores.
• Competitive intelligence — track which amenities (EBT, BOPIS, frozen foods) are available at which locations over time.
• Data enrichment — merge structured Dollar Tree store data into a larger retail dataset or CRM.
• SEO / local search audits — pull each store's meta_title and meta_description to audit how Dollar Tree's local pages are optimized.

🔗 Dollar Tree-related Actors

Actor	What it does
Dollar Tree Store Locator Scraper	Discovers Dollar Tree store page URLs by state, city, or ZIP — feed its output directly into this Actor to go from "every Dollar Tree in an area" to full store details.

❓ FAQ

Is it legal to scrape Dollar Tree store data?

This Actor only collects publicly available data from the same store pages the Dollar Tree website itself serves to any visitor's browser. That said, you're responsible for complying with Dollar Tree's Terms of Service and applicable law in your jurisdiction. Consult a legal professional if you plan to use the data commercially at scale.

Do I need Dollar Tree store page URLs before I can use this Actor?

Yes — this Actor extracts details from store pages you already have URLs for. Use the Dollar Tree Store Locator Scraper first if you only know a state, city, or ZIP code and need to discover the store URLs.

Can I access the scraped Dollar Tree data via API?

Yes. Every Actor run and its dataset are available through the Apify API and the Apify SDK, so you can trigger runs and pull results directly into your own application or pipeline.

What happens if a store page is blocked or fails to load?

Blocked or failed links are logged and skipped — they don't stop the rest of the run. The run only fails if every link fails; otherwise you get results for every store that succeeded.

Is there a limit on how many stores I can scrape on the free plan?

Yes — free Apify accounts get the first 5 unique store links processed per run. Paid accounts have no cap and can process as many links as you submit in one go. See the Free vs. paid plan section above for details.

Can I schedule this Actor to run automatically?

Yes. Use the Apify Console's built-in Scheduler to run this Actor on a recurring basis (e.g. weekly) to keep your Dollar Tree store dataset fresh.

🛟 Support

Found a bug or have a feature request? Open an issue on this Actor's Issues tab in Apify Console. Need a custom scraper or a modified version of this Actor for your specific use case? Reach out — custom development is available.