# Netmeds Scraper - Low-cost๐ฒ๐ฅ๐๐ (`delectable_incubator/netmeds-scraper-low-cost`) Actor
๐ Extract Netmeds product data by keyword with ease. Collect product names, prices, discounts, availability, descriptions, images, categories, brands, and product URLs. Ideal for e-commerce analytics, price monitoring, market research, competitor analysis & health & beauty industry insights ๐ฆ๐๐ธ
- **URL**: https://apify.com/delectable\_incubator/netmeds-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** E-commerce, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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
---
## ๐๐ Netmeds Product Scraper ๐ฎ๐ณ | Bulk Netmeds Product Scraper India | Apify Actor
### ๐ Extract Netmeds Product Data in Seconds (No Code)
The **Netmeds Product Scraper (Apify Actor)** is a powerful, scalable and **SEO-optimized product scraping tool** designed to extract product listings, pricing information, discounts, ratings, categories, wellness products, OTC products and pharmaceutical catalog data directly from Netmeds.
Collect structured datasets for **price monitoring, e-commerce intelligence, pharmaceutical research, competitor analysis, AI datasets, inventory tracking, market research and product intelligence.**
---
### ๐ฅ Why This Netmeds Scraper?
โ Best Netmeds scraper on Apify
โ Supports **Bulk Keyword Scraping**
โ Fast & scalable product data extraction
โ Structured JSON / CSV / Excel output
โ Ideal for India pharma market intelligence
โ Perfect for researchers, analysts & e-commerce teams
โ No coding required
---
### ๐ฏ What This Scraper Does
This Apify Actor extracts **Netmeds product listings and detailed product information in bulk**.
#### ๐ Core Features
โ
Scrape Netmeds products
โ
Bulk keyword product scraping (SEO BOOST ๐)
โ
Extract product names
โ
Extract brand names
โ
Extract MRP & discounted prices
โ
Extract discount percentages
โ
Extract product URLs
โ
Extract product images
โ
Extract availability & stock status
โ
Extract ratings & reviews
โ
Extract categories & subcategories
โ
Extract descriptions & highlights
โ
Extract country of origin
โ
Extract safety & usage information
โ
High-speed extraction engine
---
### โก Input Configuration (Simple & Powerful)
#### ๐ฅ BULK KEYWORD MODE (SEO BOOST ๐)
````
{
"keywords": \[
"paracetamol",
"vitamin c",
"protein powder",
"deodorant",
"multivitamin",
"face wash",
"omega 3",
"skin care"
],
"max\_items": 500
}
```
---
### ๐ Extracted Product Data (Structured Output)
| Field | Description |
| --------------- | ------------------------ |
| productName | Product name |
| brandName | Brand or manufacturer |
| mrp | Maximum retail price |
| sellingPrice | Discounted selling price |
| discount | Discount percentage |
| category | Product category |
| subCategory | Product subcategory |
| availability | Stock availability |
| quantity | Available quantity |
| rating | Customer rating |
| reviewCount | Number of reviews |
| description | Product description |
| highlights | Product highlights |
| usage | Usage instructions |
| safetyInfo | Safety information |
| countryOfOrigin | Country of origin |
| imageUrl | Product image |
| productUrl | Direct Netmeds URL |
---
### ๐ก Use Cases (High Demand SEO Keywords)
This Netmeds scraper is used for:
๐ Pharmaceutical product scraping
๐ Medicine price monitoring
๐ E-commerce intelligence
๐ Product pricing analysis
๐ข Pharma market research
๐ค AI training datasets
๐ก Competitor intelligence
๐น Discount tracking systems
๐ Product catalog monitoring
โก Bulk product data extraction
---
### ๐ Key Features (Apify SEO Optimized)
โก Bulk keyword scraping support
๐ India online pharmacy coverage
๐ Smart extraction engine
๐ง Clean structured output
๐ High-speed scraping
๐ Auto retry system
๐พ Export-ready datasets
โ๏ธ Scalable cloud execution
---
### ๐ค Output Formats Supported
โ JSON
โ CSV
โ Excel XLSX
โ XML
โ HTML
โ NDJSON
---
### ๐ฆ Example Output
```
{
"productName": "Nivea Pearl & Beauty Roll On Deodorant",
"brandName": "Nivea",
"mrp": 249,
"sellingPrice": 234.06,
"discount": "6% OFF",
"category": "Deodorants",
"availability": "In Stock",
"rating": 3,
"countryOfOrigin": "Germany",
"imageUrl": "https://cdn.netmeds.com/image.jpg",
"productUrl": "https://www.netmeds.com/non-prescriptions/nivea-pearl-beauty-roll-on",
"description": "Long-lasting freshness and odour protection."
}
````
---
### ๐ฅ Why This Is The BEST Netmeds Scraper On Apify?
โ Optimized for Apify search ranking
โ High-performance extraction engine
โ Bulk keyword support
โ Structured healthcare product datasets
โ Enterprise-ready scalability
โ Perfect for analytics & market intelligence
โ Built for SEO traffic and marketplace visibility
---
### ๐ธ Pricing
This scraper runs on a **pay-per-result pricing model**.
You only pay for successfully extracted records.
๐ณ **Price:** $3.98 / 1,000 results
---
### โ FAQ (SEO BOOST SECTION)
#### Can I scrape multiple keywords at once?
Yes โ bulk keyword mode is fully supported.
#### Is this scraper fast?
Yes โ optimized for high-speed extraction.
#### Can I scrape Netmeds product catalogs?
Yes โ product catalog extraction is supported.
#### Is coding required?
No โ 100% no-code Apify Actor.
#### Can I export data?
Yes โ JSON, CSV, Excel, XML and HTML formats are supported.
---
### โ ๏ธ Disclaimer
This tool is not affiliated with Netmeds.
It is an independent data extraction solution developed for research, analytics, automation and business intelligence purposes.
---
### ๐ Related Actors
We are building a full **PrimeScrape E-Commerce & Product Intelligence Suite**.
๐ Coming Soon ๐
---
### ๐ PrimeScrape Ecosystem
Built for:
๐ Product Intelligence
๐ Market Analytics
๐ค AI Training Datasets
๐ E-Commerce Monitoring
๐ Price Tracking
๐ข Competitor Intelligence
โ๏ธ Automation Pipelines
๐พ Large Scale Data Collection
---
### ๐ฌ Support
โญโญโญโญโญ Leave a review if you like this scraper.
๐ฉ Contact us for custom scraping solutions, enterprise integrations and large-scale extraction projects.
๐ PrimeScrape โ Data Extraction at Scale.
# Actor input Schema
## `keywords` (type: `array`):
One or more product keywords to search on Netmeds (e.g., 'deodorant', 'paracetamol'). Each keyword is scraped separately.
## `maxitems` (type: `integer`):
Set the maximum number of products to collect from the search results, per keyword.
## Actor input object example
```json
{
"keywords": [
"paracetamol"
],
"maxitems": 60
}
````
# 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 = {
"keywords": [
"paracetamol"
],
"maxitems": 60
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/netmeds-scraper-low-cost").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 = {
"keywords": ["paracetamol"],
"maxitems": 60,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/netmeds-scraper-low-cost").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"keywords": [
"paracetamol"
],
"maxitems": 60
}' |
apify call delectable_incubator/netmeds-scraper-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/netmeds-scraper-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Netmeds Scraper - Low-cost๐ฒ๐ฅ๐๐",
"description": "๐ Extract Netmeds product data by keyword with ease. Collect product names, prices, discounts, availability, descriptions, images, categories, brands, and product URLs. Ideal for e-commerce analytics, price monitoring, market research, competitor analysis & health & beauty industry insights ๐ฆ๐๐ธ",
"version": "0.0",
"x-build-id": "XaJ59LE590AgdRxRd"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~netmeds-scraper-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-netmeds-scraper-low-cost",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~netmeds-scraper-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-netmeds-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~netmeds-scraper-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-netmeds-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"required": [
"keywords"
],
"properties": {
"keywords": {
"title": "Product keywords ๐",
"type": "array",
"description": "One or more product keywords to search on Netmeds (e.g., 'deodorant', 'paracetamol'). Each keyword is scraped separately.",
"default": [
"paracetamol"
],
"items": {
"type": "string"
}
},
"maxitems": {
"title": "Maximum products per keyword ๐",
"type": "integer",
"description": "Set the maximum number of products to collect from the search results, per keyword.",
"default": 60
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```