# Foundit Jobs Scraper - कम लागत Low-cost💲🔥🇮🇳💼 (`delectable_incubator/foundit-jobs-scraper-km-laagt-low-cost`) Actor
Scrape Foundit.in job listings 🇮🇳💼 with a powerful India job scraper. Extract job titles, company names, locations, experience levels, posting dates, tags, and more. Ideal for recruitment intelligence, HR analytics, job aggregation, hiring trend analysis, and structured employment datasets 📊🚀
- **URL**: https://apify.com/delectable\_incubator/foundit-jobs-scraper-km-laagt-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Lead generation, Jobs, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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
---
## Foundit.in Jobs Scraper 🇮🇳 | Bulk Job Scraper India 🌐💼
### 🚀 Extract Foundit.in Jobs Data in Seconds (No Code)
The **Foundit.in Jobs Scraper (Apify Actor)** is a powerful, scalable and **SEO-optimized job scraping tool for India job market data extraction**.
It allows you to **scrape Foundit.in job listings in bulk**, extract structured hiring data, and export it for **recruitment, HR analytics, job aggregation, AI datasets, and lead generation**.
---
### 🔥 Why This Foundit Scraper?
✔ Best Foundit.in job scraper on Apify
✔ Supports **bulk keyword scraping (multi-search)**
✔ Fast & scalable job data extraction
✔ 100% structured JSON / CSV / Excel output
✔ Ideal for **India job market intelligence**
✔ Perfect for recruiters, startups & data analysts
✔ No coding required
---
### 🎯 What This Scraper Does (Foundit Job Data Extraction)
This Apify Actor extracts **real-time job listings from Foundit.in search results**.
#### 📌 Core Features:
✅ Scrape Foundit.in job listings
✅ Bulk keyword job scraping (SEO BOOST 🚀)
✅ Location-based filtering (India, Mumbai, Delhi, Bangalore, Chennai)
✅ Posted date filtering (1–30 days)
✅ Auto pagination handling (infinite results)
✅ Extract company name, job title, salary info, experience
✅ Extract job URL + apply links
✅ Clean structured dataset output
✅ High-speed extraction engine
---
### ⚡ Input Configuration (Simple & Powerful)
#### 🔥 BULK KEYWORD MODE (SEO BOOST 🚀)
````
{
"keywords": \[
"software engineer",
"data analyst",
"marketing manager",
"sales executive",
"python developer",
"hr recruiter"
],
"location": "India",
"posted\_days": 7,
"max\_items": 200
}
```
---
### 📊 Extracted Job Data (Structured Output)
| Field | Description |
|------|-------------|
| jobId | Unique job identifier |
| jobTitle | Job title |
| companyName | Hiring company |
| location | Job location |
| experience | Required experience |
| postedDate | Job posting date |
| tags | Job labels |
| companyLogo | Company logo URL |
| jobUrl | Direct apply link |
---
### 💡 Use Cases (High Demand SEO Keywords)
This Foundit scraper is used for:
💼 Job scraping India
📊 India job market analysis
🎯 Recruitment automation tools
📈 HR analytics & hiring trends
🤖 AI training datasets (job data)
🏢 Company hiring intelligence
📡 Job aggregation platforms
⚡ Bulk job data extraction
---
### 🚀 Key Features (Apify SEO Optimized)
⚡ Bulk keyword scraping support
🌍 India job market coverage
📌 Smart pagination system
🧠 Clean structured output
📊 High-speed scraping 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
```
{
"jobId": "FD123456",
"jobTitle": "Data Analyst",
"companyName": "ABC Technologies",
"location": "Bangalore",
"experience": "1–3 Years",
"postedDate": "2 days ago",
"tags": \["Urgent Hiring", "Full Time"],
"companyLogo": "https://foundit.in/logo.png",
"jobUrl": "https://www.foundit.in/job/..."
}
````
---
### 🔥 Why This is the BEST Foundit Scraper on Apify?
✔ Optimized for Apify search ranking
✔ High-performance job scraping engine
✔ Bulk keyword support (rare feature)
✔ Clean structured dataset output
✔ Enterprise-ready scalability
✔ Perfect for SEO traffic & marketplace visibility
---
### 💸 Pricing
This scraper runs on a **pay-per-result pricing model**.
You only pay for successfully extracted records.
💳 **Price:** $0.98 / 1,000 results
---
### ❓ FAQ (SEO BOOST SECTION)
#### Can I scrape multiple keywords at once?
Yes — bulk keyword mode is fully supported.
#### Is this scraper fast?
Yes — optimized for high-speed extraction.
#### Can I use it for India job data?
Yes — fully focused on Indian job market.
#### Is coding required?
No — 100% no-code Apify Actor.
#### Can I export data?
Yes — JSON, CSV, Excel, XML supported.
---
### ⚠️ Disclaimer
This tool is not affiliated with Foundit.in. It is an independent data extraction solution.
---
### 🔗 Related Actors (Job Scraping Ecosystem)
We are building a full **PrimeScrape Job Intelligence Suite**:
👉 Coming Soon 🚀
---
### 🌍 PrimeScrape Ecosystem
Built for **data scraping, automation, AI training datasets, and market intelligence at scale**.
📊 Job data extraction
🏢 Company intelligence
📈 Market analytics
🤖 AI datasets
⚙️ Automation pipelines
---
### 📬 Support
⭐⭐⭐⭐⭐ Leave a review if you like this scraper
📩 Contact for custom scraping solutions / enterprise requests
# Actor input Schema
## `keywords` (type: `array`):
List of job keywords to search for (e.g., ['software', 'data analyst', 'marketing manager']). You can add multiple keywords to scrape in bulk. / खोजने के लिए नौकरी कीवर्ड की सूची (उदाहरण: ['software', 'data analyst', 'marketing manager']). एक साथ कई कीवर्ड जोड़ सकते हैं।
## `location` (type: `string`):
City or location to search jobs (e.g., 'Mumbai', 'Delhi', 'Bangalore') / नौकरियां खोजने के लिए शहर या स्थान (उदाहरण: 'Mumbai', 'Delhi', 'Bangalore')
## `posted_days` (type: `integer`):
Filter jobs posted within the last X days. Options: 1, 3, 7, 15, 30 / पिछले X दिनों में पोस्ट की गई नौकरियां फ़िल्टर करें। विकल्प: 1, 3, 7, 15, 30
## `max_items` (type: `integer`):
Limits how many job listings will be scraped from Foundit.in / Foundit.in से कितनी नौकरी लिस्टिंग स्क्रैप की जाएंगी, यह सीमित करता है
## Actor input object example
```json
{
"keywords": [
"software"
],
"location": "Mumbai",
"posted_days": 30,
"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 = {
"keywords": [
"software"
],
"location": "Mumbai",
"max_items": 50
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/foundit-jobs-scraper-km-laagt-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 = {
"keywords": ["software"],
"location": "Mumbai",
"max_items": 50,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/foundit-jobs-scraper-km-laagt-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 '{
"keywords": [
"software"
],
"location": "Mumbai",
"max_items": 50
}' |
apify call delectable_incubator/foundit-jobs-scraper-km-laagt-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/foundit-jobs-scraper-km-laagt-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Foundit Jobs Scraper - कम लागत Low-cost💲🔥🇮🇳💼",
"description": "Scrape Foundit.in job listings 🇮🇳💼 with a powerful India job scraper. Extract job titles, company names, locations, experience levels, posting dates, tags, and more. Ideal for recruitment intelligence, HR analytics, job aggregation, hiring trend analysis, and structured employment datasets 📊🚀",
"version": "0.0",
"x-build-id": "PyA8Br5xBH3sKkrcG"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~foundit-jobs-scraper-km-laagt-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-foundit-jobs-scraper-km-laagt-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~foundit-jobs-scraper-km-laagt-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-foundit-jobs-scraper-km-laagt-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~foundit-jobs-scraper-km-laagt-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-foundit-jobs-scraper-km-laagt-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"location",
"max_items"
],
"properties": {
"keywords": {
"title": "Job Keywords / नौकरी कीवर्ड 🔍",
"type": "array",
"description": "List of job keywords to search for (e.g., ['software', 'data analyst', 'marketing manager']). You can add multiple keywords to scrape in bulk. / खोजने के लिए नौकरी कीवर्ड की सूची (उदाहरण: ['software', 'data analyst', 'marketing manager']). एक साथ कई कीवर्ड जोड़ सकते हैं।",
"items": {
"type": "string"
}
},
"location": {
"title": "Location / स्थान 📍",
"type": "string",
"description": "City or location to search jobs (e.g., 'Mumbai', 'Delhi', 'Bangalore') / नौकरियां खोजने के लिए शहर या स्थान (उदाहरण: 'Mumbai', 'Delhi', 'Bangalore')",
"default": "Mumbai"
},
"posted_days": {
"title": "Posted Within (Days) / पोस्ट किया गया (दिन) 📅",
"type": "integer",
"description": "Filter jobs posted within the last X days. Options: 1, 3, 7, 15, 30 / पिछले X दिनों में पोस्ट की गई नौकरियां फ़िल्टर करें। विकल्प: 1, 3, 7, 15, 30",
"default": 30
},
"max_items": {
"title": "Maximum number of jobs to scrape / स्क्रैप करने के लिए नौकरियों की अधिकतम संख्या 🔢",
"type": "integer",
"description": "Limits how many job listings will be scraped from Foundit.in / Foundit.in से कितनी नौकरी लिस्टिंग स्क्रैप की जाएंगी, यह सीमित करता है",
"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
}
}
}
}
}
}
}
}
}
}
```