Pricing

Pay per usage

Retail Location Intelligence Bundle

Monitor store footprints, store locator scraper outputs, openings, closures, competitor locations, and expansion signals in one scored AI-ready retail location dataset.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

scraping automation

Actor stats

Bookmarked

Total users

Monthly active users

10 hours ago

Last modified

Categories

Lead generation

Business

You can access the Retail Location Intelligence Bundle programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "brand": "Dior",
10    "market": "Paris",
11    "city": "Paris",
12    "country": "France",
13    "manualLocations": [{
14            "provider": "manual-location",
15            "brand": "Dior",
16            "locationName": "Dior Paris 30 Montaigne",
17            "address": "30 Avenue Montaigne",
18            "city": "Paris",
19            "country": "France",
20            "url": "https://www.dior.com/fashion/stores/en_int/france/paris/30-avenue-montaigne",
21            "summary": "Dior flagship location in Paris.",
22        }],
23    "includeWebDiscovery": False,
24}
25
26# Run the Actor and wait for it to finish
27run = client.actor("runtime/retail-location-intelligence-bundle").call(run_input=run_input)
28
29# Fetch and print Actor results from the run's dataset (if there are any)
30print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
31for item in client.dataset(run["defaultDatasetId"]).iterate_items():
32    print(item)
33
34# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Retail Location Intelligence - Store Footprints API in Python

The Apify API client for Python is the official library that allows you to use Retail Location Intelligence Bundle API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Retail Location Intelligence Bundle API in JavaScript

Retail Location Intelligence Bundle API through CLI

Retail Location Intelligence Bundle OpenAPI definition

Retail Location Intelligence Bundle API

Retail Store-Locator Expansion Tracker

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Pull every store location for retail/F&B chains (one store per row) and a total-count snapshot. Re-run over time for an expansion/contraction signal. Public locator data.

Farhan Febrian Nauval

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The Brand Store Locator Scraper extracts retail stockist and store location data from any brand's website, pulling records with store names, addresses, geo coordinates, phone numbers, and websites — ideal for retail intelligence, location data enrichment, and competitive distribution analysis.

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runtime/fashion-intelligence-bundle

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Lead Heaven

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runtime/starbucks-store-locator

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Scrape Discount Tire store locations by ZIP: store name, code, address, postal code, distance, and store URL. Built for retail location intelligence and territory mapping.

Khrystyna Skotte

H&M Store Locator Scraper

runtime/hm-store-list

Scrape H&M store locations by country with normalized retail-location fields, store names, addresses, postal codes, opening hours, and source metadata.

scraping automation