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URL: https://apify.com/axlymxp/target-store-scraper

โ‡ฑ Target Store Scraper ยท Apify


Pricing

$1.00 / 1,000 results

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Target Store Scraper

Scrapes Target store locations and details based on a search keyword (city/zip) and radius. Returns store information including name, address, phone, hours, services, and coordinates. Configurable search radius and results limit.

Pricing

$1.00 / 1,000 results

Rating

0.0

(0)

Developer

๐Ÿ‘ axly

axly

Maintained by Community

Actor stats

1

Bookmarked

12

Total users

1

Monthly active users

a month ago

Last modified

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An Apify actor for scraping Target store locations based on a location keyword search.

Features

  • Search for Target stores by location keyword (city name, zip code, etc.)
  • Specify search radius in miles
  • Limit the number of results returned
  • Detailed store information including address, phone, hours, and more

Input Parameters

The actor accepts the following input parameters:

ParameterTypeDescriptionDefault
keywordStringLocation keyword to search for Target stores (e.g. city name, zip code)"New York"
withinIntegerMaximum distance in miles to search from the location (1-100)50
limitIntegerMaximum number of store results to return (1-100)10

Output

The actor outputs JSON records with detailed information about each Target store found, including:

  • Store ID and name
  • Address (street, city, state, zip)
  • Phone number
  • Store hours
  • Store type and features
  • Geographic coordinates
  • Distance from search location

Usage

Apify Console

  1. Go to the Target Store Scraper page on Apify Console
  2. Enter the input parameters
  3. Click "Start"

API

You can also run the actor via Apify API. Here's an example using cURL:

curl-X POST \
https://api.apify.com/v2/acts/your-username~target-store-scraper/runs?token=YOUR_API_TOKEN \
-H'Content-Type: application/json'\
-d'{
"keyword": "Chicago",
"within": 30,
"limit": 15
}'

Local Development

Prerequisites

  • Python 3.9+
  • pip

Installation

  1. Clone this repository
  2. Create a virtual environment: python -m venv .venv
  3. Activate the virtual environment:
    • Windows: .venv\Scripts\activate
    • macOS/Linux: source .venv/bin/activate
  4. Install dependencies: pip install -r requirements.txt

Running Locally

$python -m src

License

This project is licensed under the Apache License 2.0.

Example Input

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