# Athenahealth Product Info Scraper (`getdataforme/athenahealth-productinfo-scraper`) Actor
The Athenahealth Product Info Scraper efficiently extracts detailed product data from the Athenahealth marketplace, aiding in market analysis and decision-making....
- **URL**: https://apify.com/getdataforme/athenahealth-productinfo-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $9.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Athenahealth Product Info Scraper
### Introduction
The Athenahealth Product Info Scraper is designed to efficiently extract detailed product information from the Athenahealth marketplace. This Actor provides a streamlined solution for gathering comprehensive data on healthcare products, enabling users to perform in-depth analysis and make informed decisions.
### Features
- **Comprehensive Data Extraction**: Captures detailed product information including descriptions, ratings, and company details.
- **High Data Quality**: Ensures accurate and up-to-date information with reliable scraping techniques.
- **Performance Efficiency**: Optimized for fast and efficient data retrieval from multiple URLs.
- **User-Friendly Interface**: Easy setup and configuration for seamless operation.
- **Versatile Output Formats**: Export data in JSON, CSV, or Excel formats for flexible use.
- **Customizable Parameters**: Tailor the scraping process to specific needs with adjustable input settings.
- **Robust Error Handling**: Built-in mechanisms to manage and report errors effectively.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|------------|--------|----------|--------------------------------------|-------------------------------------------------------------------------|
| startUrls | array | Yes | URLs to start with. | `[{ "url": "https://athenaconnect.athenahealth.com/marketplace/product/navina" }]` |
### Example Usage
#### Example Input
```json
{
"startUrls": [
{
"url": "https://athenaconnect.athenahealth.com/marketplace/product/navina"
}
]
}
````
#### Example Output
```json
[
{
"productId": "1FrAPOfpNQlqbqdn3U8pfv",
"productName": "Navina",
"productSlug": "navina",
"companyName": "Navina",
"companyLink": "https://www.navina.ai/",
"overview": "Navina provides the first proactive operating system...",
"description": "Navina is an AI-powered solution...",
"hitrustCertified": "Yes",
"productDesignation": "Generally Available (GA)",
"averageRating": 4.78,
"totalReviews": 18,
"ratingBreakdown": {
"1": 0,
"2": 0,
"3": 1,
"4": 2,
"5": 15
},
"requiredProducts": [
"athenaClinicals®",
"athenaCollector®"
],
"categories": [
"Clinical Workflow Acceleration",
"Remote Patient Monitoring",
"Medical Records / Documentation",
"Billing"
],
"subCategories": [
"Clinical Decision Support",
"Quality Management / Performance",
"Document Management / Chart Search",
"Coding"
],
"specialties": [
"Multi Specialty",
"Family Practice",
"Internal Medicine",
"Nephrology",
"FQHC",
"Ambulatory Surgery Center",
"Direct Primary Care",
"Podiatry",
"Urgent Care",
"Cardiology",
"Home Healthcare",
"Obstetrics/Gynecology",
"Other"
],
"totalConnections": 106,
"logo": "https://images.ctfassets.net/uazigsvtldjw/4g1fDAriC7mOVhwh5wrviY/7ebcef6e4812d88f94feba99a8dd7281/Navina_Logo_Linkedin_Navy_Blue__156x156_.png",
"phoneNumber": "800-659-4035",
"scrapedAt": "2026-04-28T09:06:31.875Z",
"sourceUrl": "https://athenaconnect.athenahealth.com/marketplace/product/navina"
}
]
```
### Use Cases
- **Market Research and Analysis**: Gather insights on healthcare products for strategic planning.
- **Competitive Intelligence**: Monitor competitor offerings and market positioning.
- **Price Monitoring**: Track pricing changes and trends over time.
- **Content Aggregation**: Compile product information for content creation and distribution.
- **Academic Research**: Support studies with detailed product data.
- **Business Automation**: Automate data collection processes for efficiency.
### Installation and Usage
1. Search for "Athenahealth Product Info Scraper" 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 output is structured as a JSON array containing detailed product information. Key fields include `productId`, `productName`, `companyName`, `overview`, `description`, `averageRating`, and more, providing a comprehensive snapshot of each product.
### Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form:
We're here to help you get the most out of this Actor!
# Actor input Schema
## `startUrls` (type: `array`):
URLs to start with.
## Actor input object example
```json
{
"startUrls": [
{
"url": "https://athenaconnect.athenahealth.com/marketplace/product/navina"
}
]
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"startUrls": [
{
"url": "https://athenaconnect.athenahealth.com/marketplace/product/navina"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/athenahealth-productinfo-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://athenaconnect.athenahealth.com/marketplace/product/navina" }] }
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/athenahealth-productinfo-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"startUrls": [
{
"url": "https://athenaconnect.athenahealth.com/marketplace/product/navina"
}
]
}' |
apify call getdataforme/athenahealth-productinfo-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/athenahealth-productinfo-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Athenahealth Product Info Scraper",
"description": "The Athenahealth Product Info Scraper efficiently extracts detailed product data from the Athenahealth marketplace, aiding in market analysis and decision-making....",
"version": "0.0",
"x-build-id": "sY41tTF6ad8ikI7kO"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~athenahealth-productinfo-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-athenahealth-productinfo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~athenahealth-productinfo-scraper/runs": {
"post": {
"operationId": "runs-sync-getdataforme-athenahealth-productinfo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~athenahealth-productinfo-scraper/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-athenahealth-productinfo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "URLs to start with.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```