# Foundit Jobs Scraper (formerly Monster India) | $1/1K (`one_dollar_store/foundit-jobs-search-scraper`) Actor

$1 per 1,000 results, platform usage included. Search Foundit.in jobs by keyword and city with experience, salary and freshness filters: title, company, location, experience, salary, skills, posting date, applicants and apply link. No login.

- **URL**: https://apify.com/one_dollar_store/foundit-jobs-search-scraper.md
- **Developed by:** [One Dollar Store](https://apify.com/one_dollar_store) (community)
- **Categories:** Jobs, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Foundit Jobs Scraper: Indian Jobs with Salary and Experience Filters

**$1 per 1,000 jobs. Platform usage included. No rental, no minimum.**

[Open it in Apify Console](https://console.apify.com/actors/CrwO8Kvoy7lnk7lpu/input)

### What it costs

| Jobs | Price |
|---|---|
| 1,000 | $1.00 |
| 10,000 | $10.00 |
| 100,000 | $100.00 |

Plus $0.001 per run. One flat price, platform usage included, so there is no separate compute or proxy bill. Full descriptions cost nothing extra. A daily run of 300 new jobs costs $0.301, or about $9.03 over 30 days.

### Why use it

Foundit.in is the Indian job board that used to be Monster India.

- **One flat price, descriptions included.** Turning on full job text adds one request per job but not one cent to the price per job.
- **Foundit's own filters.** Cities, experience range in years, yearly salary in lakh rupees, and how many days old a job can be.
- **Rows ready to count and sort.** Experience and salary as numbers when shown, skills, job type, posting and closing dates, applicant count, the Foundit link and the external apply link.
- **No repeats, no login.** A job that matches two of your keywords is returned once, before you are charged. In our tests 50 jobs with full descriptions took about 30 seconds.

### Quick start

1. Open the actor, type a job title or skill and a city, press **Start**.
2. Or paste this input:

```json
{ "keywords": ["data analyst"], "locations": ["Bangalore"], "maxItems": 50 }
```

3. Download the results as JSON, CSV or Excel, or read them through the API.

### Use it from code

```bash
curl -X POST "https://api.apify.com/v2/acts/one_dollar_store~foundit-jobs-search-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["data analyst"], "locations": ["Bangalore"], "maxItems": 50}'
```

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("one_dollar_store/foundit-jobs-search-scraper").call(
    run_input={"keywords": ["java developer"], "locations": ["Pune", "Hyderabad"], "maxItems": 50}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["postedAt"], item["company"], item["title"], item.get("salaryText", ""))
```

### Use it from an AI assistant

Claude, ChatGPT, Cursor and other assistants can call this actor through Apify's MCP server. Add it with this server address:

```
https://mcp.apify.com?tools=one_dollar_store/foundit-jobs-search-scraper
```

Then ask, for example: "Find Java developer jobs on Foundit in Pune and Hyderabad for 3 to 6 years of experience, posted in the last 7 days, and list the ones that show a salary."

### Switching from another Foundit actor

Job titles or skills go in `keywords` (a list, so one run can cover many searches). Cities go in `locations`, and the result limit is `maxItems`. The core fields are `title`, `company`, `locations`, `experienceText`, `salaryText`, `skills`, `postedAt` and `jobUrl`.

### Input

| Field | Type | Default | What it does |
|---|---|---|---|
| `keywords` | list of text | required | Job titles or skills, for example `data analyst`. Each is a separate search. |
| `locations` | list of text | none | Cities, for example `Bangalore`, `Pune`. Searched together. Empty means all of India. |
| `minExperienceYears`, `maxExperienceYears` | number | none | Experience range in years. Foundit returns jobs whose range overlaps yours. |
| `minSalaryLakhs`, `maxSalaryLakhs` | number | none | Yearly salary range, in lakh rupees. |
| `maxJobAgeDays` | number | none | Only jobs posted in this many days. |
| `includeDescription` | true or false | false | Add the full description and city and state details. One extra request per job, same price. |
| `maxItems` | number | 100 | Total jobs for the run. Minimum 10. |
| `proxyConfiguration` | object | no proxy | Leave as is. Foundit accepts the direct connection from Apify. |
| `residentialFallback` | true or false | true | If Foundit refuses the direct connection twice in a row, finish through Indian residential addresses. |

Example:

```json
{ "keywords": ["java developer"], "locations": ["Pune", "Hyderabad"], "minExperienceYears": 3, "maxExperienceYears": 6, "maxItems": 200 }
```

### Output fields

| Field | Meaning |
|---|---|
| `jobId`, `title`, `company`, `companyId`, `locations` | The job, the employer and its cities. |
| `employmentTypes`, `jobTypes`, `industries`, `functions`, `skills`, `employerType` | What kind of job it is. |
| `urgentlyHiring`, `walkIn` | Flags shown on the listing. |
| `experienceMinYears`, `experienceMaxYears`, `experienceText` | Experience range. |
| `salaryMin`, `salaryMax`, `salaryCurrency`, `salaryText`, `salaryHidden` | Yearly salary, when the employer shows it. |
| `postedAt`, `postedText`, `updatedAt`, `closesAt`, `applicants` | Dates and applicant count. |
| `jobUrl`, `applyUrl`, `companyUrl`, `companyLogo` | Foundit link, and the outside apply page when the job sends you there. |
| `description`, `locationDetails` | With descriptions on: plain text, and city, state and country. |
| `searchKeyword`, `searchLocation`, `scrapedAt` | Which search found the job, and collection time. |

Empty fields are left out of the row.

### Sample results

Real rows from test runs on 4 October 2026, trimmed to the main fields, with skills and descriptions shortened.

```json
[
  {"jobId": "69200640", "title": "Snowflake Data Analyst", "company": "Tata Consultancy Services", "locations": ["Bengaluru"],
   "experienceText": "6-10 Years", "jobTypes": ["Permanent Job"], "skills": ["Snowflake Data Warehouse", "Advanced Sql", "Python"],
   "postedAt": "2026-09-28T23:38:20.000Z", "closesAt": "2026-10-28T18:30:00.000Z", "applicants": 45,
   "description": "Snowflake Data Analyst\n\nLocation: Bangalore / Chennai\nExperience: 6-10 Years ...",
   "locationDetails": [{"city": "Bengaluru / Bangalore", "state": "Karnataka", "country": "India"}],
   "searchKeyword": "data analyst", "searchLocation": "Bangalore"},
  {"jobId": "69187152", "title": "Senior Data Analyst- Tableau", "company": "Sigmoid", "locations": ["Bengaluru"],
   "experienceText": "3-6 Years", "skills": ["snowflake", "Tableau", "JIRA", "Sql"], "postedAt": "2026-09-28T21:55:39.000Z",
   "applicants": 39, "jobUrl": "https://www.foundit.in/job/senior-data-analyst-tableau-sigmoid-bengaluru-bangalore-india-69187152",
   "applyUrl": "https://www.linkedin.com/jobs/view/4470900316/", "searchKeyword": "data analyst", "searchLocation": "Bangalore"},
  {"jobId": "69326012", "title": "Java developer", "company": "Artech Infosystems Private Limited", "locations": ["Hyderabad"],
   "experienceMinYears": 6, "experienceMaxYears": 12, "salaryMin": 50000, "salaryMax": 1800000, "salaryCurrency": "INR",
   "salaryText": "50,000-18,00,000 INR", "skills": ["Java", "Spring Boot", "Micro Service"], "postedAt": "2026-10-01T10:24:30.000Z",
   "applicants": 123, "jobUrl": "https://www.foundit.in/job/java-developer-artech-infosystems-private-limited-hyderabad-secunderabad-telangana-69326012",
   "searchKeyword": "java developer", "searchLocation": "Pune, Hyderabad"}
]
```

### Limits

- Foundit decides how many jobs a search reaches; the run summary shows the total it reported for each keyword. Very broad searches can stop short of that total if Foundit stops paging.
- Most employers hide the salary. A salary filter still matches those jobs (Foundit checks the salary the employer entered), but their salary fields stay empty.
- The experience filter keeps jobs whose range overlaps yours, so a 3 to 6 year search can include a 5 to 10 year job.
- Many listings are syndicated from other sites; for those, `applyUrl` points to the original posting.
- Only job rows are charged; summaries and errors never are. Set a spending limit on the run and the actor stops when it is reached.

### FAQ

**How much does it cost to scrape 10,000 Foundit jobs?**
$10, plus $0.001 for each run, with or without descriptions.

**Do I pay for compute or proxy on top?**
No. Platform usage, including the residential fallback, is included in the $1 per 1,000 price.

**Do I need a Foundit account?**
No. The actor reads public job listings only. No login, no cookies.

**How fresh is the data?**
Each run reads Foundit live. Use `maxJobAgeDays` and a schedule to collect only recent postings.

**What is in the run summary?**
The key-value store record `RUN_SUMMARY` lists, per keyword, Foundit's total, pages read, rows returned and why the run stopped, plus the filters sent.

**Is it legal?**
The actor collects only public job listings that anyone can see without logging in. You are responsible for using the data in line with Foundit's terms and the law where you work, including data protection rules.

**Is this an official Foundit product?**
No. It is an independent tool and is not affiliated with or endorsed by Foundit.

**Something broke?**
Open an issue on the Issues tab with the input you used.

**Do I need an Apify account?**
Yes. Actors run from an Apify account, and a free account is enough to start: it includes $5 of platform usage every month. You can [sign up here](https://www.apify.com?fpr=ymnoit). This is a referral link and it costs you nothing.

**Is there a limit on the free plan?**
Yes. A run started from a free plan account delivers the first 10 results, then ends with a message and a link to the plans. Any paid plan returns everything you ask for, up to your own limit. The price per result is the same on every plan.

### More from The One Dollar Store

Every actor here costs $1 per 1,000 results, platform usage included.

**Google and search**

- [Google News Scraper](https://apify.com/one_dollar_store/google-news-articles-scraper): News articles by keyword, topic or country.
- [Google Maps Leads Scraper](https://apify.com/one_dollar_store/google-maps-leads-scraper): Local businesses with phones, websites and emails.
- [Google Ads Transparency Scraper](https://apify.com/one_dollar_store/google-ads-transparency-scraper): Ads any advertiser or domain runs on Google.

**Maps and local business**

- [2GIS Business Scraper](https://apify.com/one_dollar_store/2gis-business-scraper): Businesses in Russia, Central Asia and the UAE.
- [Yandex Maps Scraper](https://apify.com/one_dollar_store/yandex-maps-business-scraper): Businesses on Yandex Maps around any city.
- [IndiaMART Supplier Scraper](https://apify.com/one_dollar_store/indiamart-supplier-scraper): Indian suppliers for any product, with phones.

**Social media**

- [Threads Scraper](https://apify.com/one_dollar_store/threads-post-scraper): Public Threads posts by keyword or profile.
- [Instagram Profile Scraper](https://apify.com/one_dollar_store/instagram-profile-data-scraper): Followers, posts and engagement for public profiles.
- [TikTok Hashtag Scraper](https://apify.com/one_dollar_store/tiktok-hashtag-videos-scraper): Videos, views and creators for any hashtag.
- [Pinterest Pin Search Scraper](https://apify.com/one_dollar_store/pinterest-pin-search-scraper): Public pins with images and outbound links.
- [Telegram Channel Scraper](https://apify.com/one_dollar_store/telegram-channel-posts-scraper): Posts, views and media from public channels.
- [Xiaohongshu Scraper](https://apify.com/one_dollar_store/xiaohongshu-explore-feed-scraper): RedNote notes from the public explore feeds.
- [Facebook Ad Library Scraper](https://apify.com/one_dollar_store/facebook-ad-library-scraper): Meta ads by keyword or advertiser page.

**Shopping**

- [Amazon Reviews Scraper](https://apify.com/one_dollar_store/amazon-product-reviews-scraper): Public reviews for any Amazon product.
- [AliExpress Product Scraper](https://apify.com/one_dollar_store/aliexpress-product-search-scraper): Products with prices, orders sold and ratings.
- [Etsy Scraper](https://apify.com/one_dollar_store/etsy-listings-scraper): Listings with prices, shops and badges.
- [Carsales Scraper](https://apify.com/one_dollar_store/carsales-car-listings-scraper): Australian car listings with prices and specs.

**Real estate**

- [Zillow Rentals Scraper](https://apify.com/one_dollar_store/zillow-rentals-scraper): US rentals by city, ZIP or search link.
- [Zillow Sold Homes Scraper](https://apify.com/one_dollar_store/zillow-sold-homes-scraper): Recently sold US homes with prices and dates.
- [Zillow Photos Scraper](https://apify.com/one_dollar_store/zillow-listing-photos-scraper): Every photo of a Zillow listing.

**Jobs**

- [Naukri Jobs Scraper](https://apify.com/one_dollar_store/naukri-job-listings-scraper): Naukri.com jobs by keyword, city and experience.

**Company records**

- [Bundesanzeiger Scraper](https://apify.com/one_dollar_store/bundesanzeiger-filings-scraper): German company filings and notices.
- [US Business Registry Search](https://apify.com/one_dollar_store/us-business-registry-search): Company records from 6 US state registries.

### Changelog

- October 2026: first release.

# Actor input Schema

## `keywords` (type: `array`):

Job titles or skills to search, for example "data analyst" or "java developer". Each keyword is a separate search; a job found by two keywords is returned once.

## `locations` (type: `array`):

Cities to search in, for example "Bangalore" or "Pune". Several cities are searched together. Leave empty for all of India.

## `minExperienceYears` (type: `integer`):

Lower end of the experience range. Foundit returns jobs whose range overlaps the one you set.

## `maxExperienceYears` (type: `integer`):

Upper end of the experience range.

## `minSalaryLakhs` (type: `integer`):

Lower end of the yearly salary range, in lakhs. Foundit matches it against the salary the employer entered, even when the listing hides it; hidden salaries stay hidden in the results.

## `maxSalaryLakhs` (type: `integer`):

Upper end of the yearly salary range, in lakhs.

## `maxJobAgeDays` (type: `integer`):

Only jobs posted in this many days. Leave empty for any date.

## `includeDescription` (type: `boolean`):

Opens each job's page for the full description and city and state details. Slower, one extra request per job, same price per row.

## `maxItems` (type: `integer`):

Stop after this many jobs in total. Minimum 10.

## `proxyConfiguration` (type: `object`):

Where requests leave from. By default the actor connects directly, which Foundit accepts from Apify. Pick a proxy here only if you see refusals.

## `residentialFallback` (type: `boolean`):

If Foundit refuses the direct connection twice in a row, finish the run through Indian residential addresses instead of stopping.

## Actor input object example

```json
{
  "keywords": [
    "data analyst"
  ],
  "locations": [
    "Bangalore"
  ],
  "includeDescription": false,
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "residentialFallback": true
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "data analyst"
    ],
    "locations": [
        "Bangalore"
    ],
    "maxItems": 50,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("one_dollar_store/foundit-jobs-search-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["data analyst"],
    "locations": ["Bangalore"],
    "maxItems": 50,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("one_dollar_store/foundit-jobs-search-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": [
    "data analyst"
  ],
  "locations": [
    "Bangalore"
  ],
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call one_dollar_store/foundit-jobs-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,one_dollar_store/foundit-jobs-search-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/CrwO8Kvoy7lnk7lpu/builds/G2FcIZhTqB3OeuTsZ/openapi.json