
Target Store Scraper
Pricing
$20.00/month + usage
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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.
0.0 (0)
Pricing
$20.00/month + usage
1
Total users
2
Monthly users
1
Runs succeeded
>99%
Last modified
11 days ago
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:
Parameter | Type | Description | Default |
---|---|---|---|
keyword | String | Location keyword to search for Target stores (e.g. city name, zip code) | "New York" |
within | Integer | Maximum distance in miles to search from the location (1-100) | 50 |
limit | Integer | Maximum 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
- Go to the Target Store Scraper page on Apify Console
- Enter the input parameters
- 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
- Clone this repository
- Create a virtual environment:
python -m venv .venv
- Activate the virtual environment:
- Windows:
.venv\Scripts\activate
- macOS/Linux:
source .venv/bin/activate
- Windows:
- Install dependencies:
pip install -r requirements.txt
Running Locally
$python -m src
License
This project is licensed under the Apache License 2.0.