# Marham Doctors Scraper - کفایتی Low-cost💲🔥🏥💊🇵🇰 (`delectable_incubator/marham-doctors-scraper-khfyty-low-cost`) Actor
🏥 Extract doctor profiles from Marham.pk with ease. Collect doctor names, specialties, experience, hospital affiliations, consultation fees, ratings, reviews, availability, locations, and profile URLs. Ideal for healthcare market research, medical analytics, and healthcare intelligence 📊✨
- **URL**: https://apify.com/delectable\_incubator/marham-doctors-scraper-khfyty-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Jobs, 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
---
## 🏥👨⚕️ Marham Doctors Scraper 🇵🇰 | Bulk Doctor Listings Scraper Pakistan | Apify Actor
### 🚀 Extract Marham Doctor Data in Seconds (No Code)
The **Marham Doctors Scraper (Apify Actor)** is a powerful, scalable and **SEO-optimized healthcare data extraction tool** designed to scrape doctor listings from Marham.pk.
Collect structured doctor profiles, clinic information, consultation fees, experience, ratings, reviews, specialties, hospitals and healthcare provider data for **healthcare analytics, medical directories, recruitment, lead generation, AI datasets, and market intelligence**.
---
### 🔥 Why This Marham Scraper?
✔ Best Marham.pk scraper on Apify
✔ Supports bulk doctor searches
✔ Bulk city & specialty scraping
✔ Fast & scalable healthcare data extraction
✔ 100% structured JSON / CSV / Excel output
✔ Ideal for healthcare analytics & medical directories
✔ Perfect for hospitals, recruiters & researchers
✔ No coding required
---
### 🎯 What This Scraper Does (Marham Healthcare Data Extraction)
This Apify Actor extracts real-time doctor listings from Marham.pk.
#### 📌 Core Features
✅ Scrape Marham doctor listings
✅ Bulk city scraping support
✅ Bulk specialty scraping support
✅ Extract doctor profiles at scale
✅ Extract consultation fees
✅ Extract patient ratings & reviews
✅ Extract clinic & hospital information
✅ Extract PMDC verified doctors
✅ Clean structured dataset output
✅ High-speed extraction engine
---
### ⚡ Input Configuration (Simple & Powerful)
#### 🔥 BULK SEARCH MODE (SEO BOOST 🚀)
````
{
"searches": \[
{
"city": "lahore",
"speciality": "gynecologist"
}
],
"max\_items": 500
}
```
---
### 📊 Extracted Doctor Data (Structured Output)
| Field | Description |
| ------------- | -------------------------- |
| doctorId | Unique doctor identifier |
| doctorName | Doctor full name |
| speciality | Medical specialty |
| experience | Years of experience |
| qualification | Medical qualifications |
| fee | Consultation fee |
| satisfaction | Patient satisfaction score |
| reviews | Number of reviews |
| hospital | Associated hospital |
| clinic | Clinic name |
| city | Doctor city |
| verified | PMDC verification status |
| profileUrl | Doctor profile URL |
| imageUrl | Doctor profile image |
---
### 💡 Use Cases (High Demand SEO Keywords)
This Marham scraper is used for:
🏥 Healthcare provider directories
👨⚕️ Doctor database creation
📊 Pakistan healthcare market analysis
🎯 Medical recruitment automation
📈 Doctor rating & review monitoring
🤖 AI healthcare datasets
🩺 Hospital intelligence
📍 Regional healthcare mapping
💼 Medical lead generation
⚡ Bulk doctor data extraction
---
### 🚀 Key Features (Apify SEO Optimized)
⚡ Bulk city & specialty scraping
🌍 Pakistan healthcare coverage
📌 Smart pagination system
🧠 Clean structured output
📊 High-speed extraction engine
🔁 Auto retry & stability system
💾 Export-ready datasets
⚙️ Scalable cloud execution (Apify Actor)
---
### 📤 Output Formats Supported
✔ JSON (structured API ready)
✔ CSV (Excel analysis)
✔ Excel XLSX (business reports)
✔ XML (data pipelines)
✔ HTML (dashboards)
---
### 📦 Example Output
```
{
"doctorId": "MHM123456",
"doctorName": "Dr. Ayesha Khan",
"speciality": "Gynecologist",
"experience": "10 Years",
"qualification": "MBBS, FCPS",
"fee": "PKR 2000",
"satisfaction": "98%",
"reviews": 245,
"hospital": "ABC Hospital",
"clinic": "ABC Clinic",
"city": "Lahore",
"verified": true,
"profileUrl": "https://www.marham.pk/doctor/...",
"imageUrl": "https://..."
}
````
---
### 🔥 Why This is the BEST Marham Scraper on Apify?
✔ Optimized for Apify search ranking
✔ High-performance healthcare scraping engine
✔ Bulk search support
✔ Clean structured dataset output
✔ Enterprise-ready scalability
✔ Perfect for SEO traffic & marketplace visibility
✔ Designed for healthcare intelligence workflows
---
### 💸 Pricing
This scraper runs on a **pay-per-result pricing model**.
You only pay for successfully extracted records.
💳 **Price: $4.98 / 1,000 results**
---
### ❓ FAQ (SEO BOOST SECTION)
#### Can I scrape multiple cities at once?
Yes — bulk search mode is fully supported.
#### Can I scrape multiple medical specialties?
Yes — scrape doctors across unlimited specialties.
#### Is this scraper fast?
Yes — optimized for high-speed extraction.
#### Can I use it for healthcare analytics?
Absolutely — ideal for healthcare intelligence and market research.
#### Is coding required?
No — 100% no-code Apify Actor.
#### Can I export data?
Yes — JSON, CSV, Excel, XML and HTML supported.
---
### ⚠️ Disclaimer
This tool is not affiliated with Marham.pk.
It is an independent healthcare data extraction solution.
---
### 🔗 Related Actors (Healthcare & Data Intelligence Ecosystem)
We are building a full **PrimeScrape Data Intelligence Suite**.
👉 More healthcare, business, jobs, real estate, events and lead generation scrapers coming soon.
---
### 🌍 PrimeScrape Ecosystem
Built for data scraping, automation, AI training datasets and market intelligence at scale.
🏥 Healthcare intelligence
👨⚕️ Doctor data extraction
🏢 Company intelligence
📈 Market analytics
🤖 AI datasets
⚙️ Automation pipelines
📊 Lead generation
---
### 📬 Support
⭐⭐⭐⭐⭐ Leave a review if you like this scraper.
📩 Contact us for custom scraping solutions, healthcare intelligence projects, enterprise automation, and large-scale data extraction.
# Actor input Schema
## `city` (type: `string`):
Select the city to search doctors in
## `speciality` (type: `string`):
Select the medical speciality
## `max_items` (type: `integer`):
Maximum number of doctor profiles to scrape from Marham
## Actor input object example
```json
{
"city": "islamabad",
"speciality": "gynecologist",
"max_items": 50
}
````
# Actor output Schema
## `overview` (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 = {
"city": "islamabad",
"speciality": "gynecologist",
"max_items": 50
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/marham-doctors-scraper-khfyty-low-cost").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 = {
"city": "islamabad",
"speciality": "gynecologist",
"max_items": 50,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/marham-doctors-scraper-khfyty-low-cost").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 '{
"city": "islamabad",
"speciality": "gynecologist",
"max_items": 50
}' |
apify call delectable_incubator/marham-doctors-scraper-khfyty-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/marham-doctors-scraper-khfyty-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Marham Doctors Scraper - کفایتی Low-cost💲🔥🏥💊🇵🇰",
"description": "🏥 Extract doctor profiles from Marham.pk with ease. Collect doctor names, specialties, experience, hospital affiliations, consultation fees, ratings, reviews, availability, locations, and profile URLs. Ideal for healthcare market research, medical analytics, and healthcare intelligence 📊✨",
"version": "0.0",
"x-build-id": "0kr4KCgdr0D9giSRG"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~marham-doctors-scraper-khfyty-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-marham-doctors-scraper-khfyty-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~marham-doctors-scraper-khfyty-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-marham-doctors-scraper-khfyty-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~marham-doctors-scraper-khfyty-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-marham-doctors-scraper-khfyty-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"city",
"speciality",
"max_items"
],
"properties": {
"city": {
"title": "City 🌆",
"enum": [
"islamabad",
"lahore",
"karachi",
"multan",
"peshawar",
"quetta",
"faisalabad",
"sargodha",
"rawalpindi",
"gujranwala",
"sialkot",
"bahawalpur",
"sukkur",
"hyderabad",
"abbottabad"
],
"type": "string",
"description": "Select the city to search doctors in",
"default": "islamabad"
},
"speciality": {
"title": "Speciality 👨⚕️",
"enum": [
"dermatologist",
"gynecologist",
"urologist",
"gastroenterologist",
"general-physician",
"psychiatrist",
"psychologist",
"orthopedic-surgeon",
"dentist",
"general-surgeon",
"pediatrician",
"neurologist",
"physiotherapist",
"cardiologist",
"pulmonologist",
"nutritionist",
"neuro-surgeon",
"internal-medicine-specialist",
"nephrologist",
"ent-specialist",
"eye-specialist",
"eye-surgeon",
"ent-surgeon",
"endocrinologist",
"plastic-surgeon",
"oncologist",
"homeopath",
"sexologist",
"rheumatologist",
"general-practitioner",
"pediatric-surgeon",
"radiologist",
"medical-specialist",
"speech-therapist",
"hematologist",
"vascular-surgeon",
"diabetologist",
"cardiac-surgeon",
"laparoscopic-surgeon",
"oral-maxillofacial-surgeon",
"counselor",
"clinical-psychologist",
"family-medicine",
"interventional-cardiologist",
"chiropractor",
"clinical-nutritionist",
"hepatologist",
"audiologist",
"liver-specialist",
"cosmetic-surgeon",
"pain-specialist",
"sonologist",
"andrologist",
"hijama-specialist",
"spinal-surgeon",
"endourologist",
"breast-surgeon",
"bariatric-surgeon",
"orthodontist",
"optometrist",
"immunologist",
"pathologist",
"aesthetic-physician",
"allergy-specialist",
"anesthetist",
"fitness-trainer",
"neonatologist",
"herbalist",
"acupuncture",
"pharmacist",
"cosmetologist",
"thoracic-surgeon",
"hair-transplant-surgeon",
"naturopathic-doctor",
"cosmetic-dentist",
"obstetrician",
"lung-surgeon",
"periodontist",
"endovascular-surgeon",
"thyroid-surgeon",
"emergency-medicine-specialist",
"diabetes-counsellor",
"anesthesiologist",
"cardiovascular-surgeon",
"restorative-dentist",
"spine-specialist",
"reconstructive-surgeon",
"primary-care-physician",
"geriatrician",
"colorectal-surgeon",
"hand-surgeon",
"prosthodontist",
"autism-consultant",
"hypertension-specialist",
"vaccine-specialist",
"implantologist",
"fertility-consultant",
"nuclear-medicine-specialist",
"microbiologist",
"asthma-specialist",
"renal-surgeon",
"sports-medicine-specialist",
"endodontist",
"histopathologist"
],
"type": "string",
"description": "Select the medical speciality",
"default": "gynecologist"
},
"max_items": {
"title": "Maximum Doctors to Scrape 🔢",
"type": "integer",
"description": "Maximum number of doctor profiles to scrape from Marham",
"default": 50
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```