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Nhia details parser spider

Pricing

$30.00/month + usage

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Nhia details parser spider

Nhia details parser spider

Effortlessly scrape and extract detailed home infusion provider data from NHIA using location keywords. Captures names, addresses, phones, and links with proxy support for reliable, scalable JSON output. Ideal for market research, competitive intelligence, and healthcare automation on Apify.

Pricing

$30.00/month + usage

Rating

0.0

(0)

Developer

GetDataForMe

GetDataForMe

Maintained by Community

Actor stats

0

Bookmarked

4

Total users

1

Monthly active users

22 days ago

Last modified

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Introduction

The Nhia details parser spider is a powerful Apify Actor designed to scrape and extract detailed provider information from the National Home Infusion Association (NHIA) website. By inputting keywords such as location names, it efficiently gathers data on home care infusion providers, including contact details, addresses, and links. This tool is invaluable for researchers, businesses, and developers needing accurate, up-to-date healthcare provider data without manual effort.

Features

  • Keyword-Based Extraction: Searches and parses provider details based on user-defined keywords, such as state or city names, ensuring targeted results.
  • Comprehensive Data Capture: Extracts key fields like provider name, address, phone, and direct links to detailed profiles for thorough information.
  • Proxy Support: Utilizes residential proxies to bypass restrictions and ensure reliable, uninterrupted scraping.
  • Structured Output: Delivers clean, JSON-formatted data ready for integration into databases, spreadsheets, or applications.
  • Scalable and Efficient: Handles multiple keywords in a single run, with optimized performance for large-scale data collection.
  • Error-Resilient: Includes built-in handling for common scraping challenges, minimizing failed requests.
  • Apify Integration: Seamlessly runs on the Apify platform with easy monitoring and export options.

Input Parameters

ParameterTypeRequiredDescriptionExample
keywordsarrayNoA list of keywords (e.g., location names) to search for providers on the NHIA website. Each keyword triggers a targeted scrape.["Michigan", "California"]
proxyConfigurationobjectNoConfiguration for proxy servers to hide the scraper's origin and avoid IP blocks. Defaults to Apify's residential proxies.{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

Input JSON

{
"keywords": ["Michigan"],
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}

Output JSON

[
{
"Name": "MyMichigan Health (MidMichigan) Home Care Infusion",
"Street": "3007 N Saginaw Rd",
"City": "Midland",
"State": "MI",
"Postal_Code": "48640 ",
"Phone": "989-633-1400",
"Learn_More_Link": "https://web.nhia.org/Provider/MyMichigan-Health-(MidMichigan)-Home-Care-Infusion-1283",
"Crawled_Date": "01-14-2026"
}
]

Use Cases

  • Market Research: Analyze regional distribution of home infusion providers to identify market gaps or opportunities.
  • Competitive Intelligence: Gather contact details of competitors for outreach or benchmarking.
  • Price Monitoring: Track provider locations and services to monitor pricing trends in healthcare.
  • Content Aggregation: Build comprehensive directories for healthcare websites or apps.
  • Academic Research: Collect data for studies on healthcare access in specific areas.
  • Business Automation: Automate lead generation for pharmaceutical or medical supply companies targeting infusion services.

Installation and Usage

  1. Search for "Nhia details parser spider" in the Apify Store
  2. Click "Try for free" or "Run"
  3. Configure input parameters
  4. Click "Start" to begin extraction
  5. Monitor progress in the log
  6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The Actor outputs data in JSON format as an array of objects. Each object represents a provider and includes fields such as "Name" (provider title), "Street", "City", "State", "Postal_Code", "Phone", "Learn_More_Link" (URL to full profile), and "Crawled_Date" (timestamp of extraction). This structured format ensures easy parsing and integration, with all fields consistently populated where available.

Support

For custom/simplified outputs or bug reports, please contact:

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