The NanoScrape Foundit Scraper is an Apify actor that extracts job listings from foundit.in. It returns 41 fields per result including title, location, city, company_name, company_address, priced at $1.5/1k job, with no API key or monthly subscription required.
Scrape job listings from foundit.in (ex-Monster India) and foundit.sg, .my and .id (source platform). Returns title, company, city, salary, experience, skills, posting date and the full description. Pay-per-result.
| Field | Type | Example | Group | Fill % |
|---|---|---|---|---|
id | string | 69558808 | Core | 100% |
site_job_id | string | null | 156161495 | Core | 50% |
title | string | Data Analyst Intern | Core | 100% |
job_url | string | https://www.foundit.in/job/data-analyst-intern-skillzen-loop-india-69558808 | Core | 100% |
source_url | string | https://www.foundit.in/job/data-analyst-intern-skillzen-loop-india-69558808 | Core | 100% |
source_platform | string | foundit.in | Core | 100% |
company_name | string | null | skillzen loop | Core | 100% |
company_logo_url | string | null | https://media.monsterindia.com/logos/xOP_skilinx1764963038407/jdlogo.gif | Core | 67% |
company_profile_url | string | null | https://www.foundit.in/search/skillzen-loop-1187687-jobs-career | Core | 100% |
apply_url | string | null | https://www.linkedin.com/jobs/view/4481052478/ | Core | 58% |
company_address | string | null | (populated when data available) | Company | — |
location | string | India | Location | 100% |
city | string | null | (populated when data available) | Location | 67% |
country | string | IN | Location | 100% |
description_full | string | null | Job Title: Data Analyst Intern Company: SkillzenLoop Employment Type: Full-Time Intern... | Description | 25% |
description_html | string | null | <p>Job Title: Data Analyst Intern</p><p></p><p>Company: SkillzenLoop</p><p>Employment T... | Description | 25% |
description_md | string | null | Job Title: Data Analyst Intern Company: SkillzenLoop Employment Type: Full-Time Intern... | Description | 25% |
salary_min | number | null | (populated when data available) | Salary | — |
salary_max | number | null | (populated when data available) | Salary | — |
salary_currency | string | null | (populated when data available) | Salary | — |
salary_period | string | null | (populated when data available) | Salary | — |
salary_text | string | null | (populated when data available) | Salary | — |
employment_type | string | null | Full time | Employment | 100% |
remote | boolean | false | Employment | 100% |
experience_min_years | number | null | (populated when data available) | Requirements | 67% |
experience_max_years | number | null | (populated when data available) | Requirements | 67% |
experience_text | string | null | (populated when data available) | Requirements | 67% |
skills | array | ["Power Bi", "google sheets", "Tableau"] | Requirements | 100% |
posted_at_text | string | null | 13 hours ago | Metadata | 100% |
posted_at_datetime | string | null | 2026-10-25T17:35:29Z | Metadata | 100% |
first_posted_at | string | null | 2026-10-25T17:35:29Z | Metadata | 100% |
scraped_at | string | 2026-10-26T06:35:30Z | Metadata | 100% |
state | string | null | (populated when data available) | Other | 8% |
expires_at | string | null | 2026-12-08T18:30:00Z | Other | 100% |
job_types | array | ["Permanent Job"] | Other | 25% |
industry | string | null | Other | Other | 92% |
functions | array | ["Data Analytics"] | Other | 100% |
roles | array | [] | Other | 8% |
applicants_count | integer | null | (populated when data available) | Other | 100% |
views_count | integer | null | 37 | Other | 25% |
search_query | string | data analyst | Other | 100% |
{
"searchQueries": [
"data analyst",
"accountant",
"java developer"
],
"location": [],
"country": "in",
"sortBy": "newest",
"postedWithinDays": 0,
"maxResultsPerQuery": 10,
"maxResults": 30,
"includeJobDetails": true
}{
"id": "69558808",
"site_job_id": "156161495",
"title": "Data Analyst Intern",
"job_url": "https://www.foundit.in/job/data-analyst-intern-skillzen-loop-india-69558808",
"source_url": "https://www.foundit.in/job/data-analyst-intern-skillzen-loop-india-69558808",
"source_platform": "foundit.in",
"company_name": "skillzen loop",
"company_logo_url": "https://media.monsterindia.com/logos/xOP_skilinx1764963038407/jdlogo.gif",
"company_profile_url": "https://www.foundit.in/search/skillzen-loop-1187687-jobs-career",
"company_address": null,
"location": "India",
"city": null,
"state": null,
"country": "IN",
"posted_at_text": "13 hours ago",
"posted_at_datetime": "2026-10-25T17:35:29Z",
"first_posted_at": "2026-10-25T17:35:29Z",
"expires_at": "2026-12-08T18:30:00Z",
"employment_type": "Full time",
"job_types": [
"Permanent Job"
],
"remote": false,
"experience_min_years": null,
"experience_max_years": null,
"experience_text": null,
"salary_min": null,
"salary_max": null,
"salary_currency": null,
"salary_period": null,
"salary_text": null,
"industry": "Other",
"functions": [
"Data Analytics"
],
"roles": [],
"skills": [
"Power Bi",
"google sheets",
"Tableau",
"Excel",
"Sql"
],
"applicants_count": null,
"views_count": 37,
"apply_url": "https://www.linkedin.com/jobs/view/4481052478/",
"description_full": "Job Title: Data Analyst Intern\n\nCompany: SkillzenLoop\nEmployment Type: Full-Time Internship\nWork Mode: Remote\nInternship Duration: 1–3 Months\nStipend: 13,500 per month\n\nSkillzenLoop is hiring Data Analyst Interns for candidates interested in data interpretation, reporting systems, business analytics, and structured analytical workflows. This internship is designed for freshers and entry-level candidates seeking practical exposure to modern data operations, reporting environments, and analytical execution through a remote professional setup.\n\nThe internship focuses on helping candidates strengthen practical understanding of data handling, business reporting, analytical thinking, and operational decision-support systems through implementation-oriented assignments and structured workflow exposure.\n\nKey Responsibilities:\n\n* Organize, review, and structure datasets for reporting and analysis tasks\n* Assist in preparing analytical reports, summaries, or operational insights\n* Support data validation and maintain reporting accuracy across assigned tasks\n* Work with spreadsheets, reporting tools, or structured data systems\n* Identify trends, patterns, or inconsistencies within datasets\n* Support dashboard preparation or analytical workflow coordination where applicable\n* Maintain organized documentation of analytical tasks and reporting activities\n* Participate in execution-focused assignments related to data operations\n* Support process improvement through structured analytical observations\n* Collaborate with teams on reporting and business support workflows\n\nEligibility Criteria:\n\n* Freshers or candidates pursuing/completing degrees in Data Analytics, Statistics, Mathematics, Economics, Computer Science, Commerce, or related disciplines\n* Strong interest in analytics, reporting, or data-driven business systems\n* Comfortable working in a remote and structured execution environment\n* Candidates seeking practical industry exposure through internship experience\n\nRequired Skills:\n\n* Basic knowledge of Excel or Google Sheets\n* Analytical and numerical reasoning capability\n* Attention to detail and data accuracy\n* Structured problem-solving mindset\n* Documentation and reporting discipline\n* Good communication and coordination capability\n* Ability to manage assigned tasks independently\n\nPreferred Skills (Optional):\n\n* Basic SQL awareness\n* Familiarity with data visualization tools such as Power BI or Tableau\n* Academic or personal analytics projects\n* Exposure to reporting or dashboard concepts\n\nWhat You Will Gain:\n\n* Practical exposure to analytical and reporting workflows\n* Experience working with structured business datasets\n* Understanding of operational reporting systems\n* Professional workflow and documentation discipline\n* Mentorship in execution-focused analytical environments\n* Certificate of completion based on internship performance\n\nSkillzenLoop is committed to creating a professional learning environment that supports skill development, practical execution, and career readiness through structured remote internship opportunities.",
"description_html": "<p>Job Title: Data Analyst Intern</p><p></p><p>Company: SkillzenLoop</p><p>Employment Type: Full-Time Internship</p><p>Work Mode: Remote</p><p>Internship Duration: 1–3 Months</p><p>Stipend: 13,500 per month</p><p></p><p>SkillzenLoop is hiring Data Analyst Interns for candidates interested in data interpretation, reporting systems, business analytics, and structured analytical workflows. This internship is designed for freshers and entry-level candidates seeking practical exposure to modern data operations, reporting environments, and analytical execution through a remote professional setup.</p><p></p><p>The internship focuses on helping candidates strengthen practical understanding of data handling, business reporting, analytical thinking, and operational decision-support systems through implementation-oriented assignments and structured workflow exposure.</p><p></p><p>Key Responsibilities:</p><p></p><p>* Organize, review, and structure datasets for reporting and analysis tasks</p><p>* Assist in preparing analytical reports, summaries, or operational insights</p><p>* Support data validation and maintain reporting accuracy across assigned tasks</p><p>* Work with spreadsheets, reporting tools, or structured data systems</p><p>* Identify trends, patterns, or inconsistencies within datasets</p><p>* Support dashboard preparation or analytical workflow coordination where applicable</p><p>* Maintain organized documentation of analytical tasks and reporting activities</p><p>* Participate in execution-focused assignments related to data operations</p><p>* Support process improvement through structured analytical observations</p><p>* Collaborate with teams on reporting and business support workflows</p><p></p><p>Eligibility Criteria:</p><p></p><p>* Freshers or candidates pursuing/completing degrees in Data Analytics, Statistics, Mathematics, Economics, Computer Science, Commerce, or related disciplines</p><p>* Strong interest in analytics, reporting, or data-driven business systems</p><p>* Comfortable working in a remote and structured execution environment</p><p>* Candidates seeking practical industry exposure through internship experience</p><p></p><p>Required Skills:</p><p></p><p>* Basic knowledge of Excel or Google Sheets</p><p>* Analytical and numerical reasoning capability</p><p>* Attention to detail and data accuracy</p><p>* Structured problem-solving mindset</p><p>* Documentation and reporting discipline</p><p>* Good communication and coordination capability</p><p>* Ability to manage assigned tasks independently</p><p></p><p>Preferred Skills (Optional):</p><p></p><p>* Basic SQL awareness</p><p>* Familiarity with data visualization tools such as Power BI or Tableau</p><p>* Academic or personal analytics projects</p><p>* Exposure to reporting or dashboard concepts</p><p></p><p>What You Will Gain:</p><p></p><p>* Practical exposure to analytical and reporting workflows</p><p>* Experience working with structured business datasets</p><p>* Understanding of operational reporting systems</p><p>* Professional workflow and documentation discipline</p><p>* Mentorship in execution-focused analytical environments</p><p>* Certificate of completion based on internship performance</p><p></p><p>SkillzenLoop is committed to creating a professional learning environment that supports skill development, practical execution, and career readiness through structured remote internship opportunities.</p>",
"description_md": "Job Title: Data Analyst Intern\n\nCompany: SkillzenLoop\nEmployment Type: Full-Time Internship\nWork Mode: Remote\nInternship Duration: 1–3 Months\nStipend: 13,500 per month\n\nSkillzenLoop is hiring Data Analyst Interns for candidates interested in data interpretation, reporting systems, business analytics, and structured analytical workflows. This internship is designed for freshers and entry-level candidates seeking practical exposure to modern data operations, reporting environments, and analytical execution through a remote professional setup.\n\nThe internship focuses on helping candidates strengthen practical understanding of data handling, business reporting, analytical thinking, and operational decision-support systems through implementation-oriented assignments and structured workflow exposure.\n\nKey Responsibilities:\n\n* Organize, review, and structure datasets for reporting and analysis tasks\n* Assist in preparing analytical reports, summaries, or operational insights\n* Support data validation and maintain reporting accuracy across assigned tasks\n* Work with spreadsheets, reporting tools, or structured data systems\n* Identify trends, patterns, or inconsistencies within datasets\n* Support dashboard preparation or analytical workflow coordination where applicable\n* Maintain organized documentation of analytical tasks and reporting activities\n* Participate in execution-focused assignments related to data operations\n* Support process improvement through structured analytical observations\n* Collaborate with teams on reporting and business support workflows\n\nEligibility Criteria:\n\n* Freshers or candidates pursuing/completing degrees in Data Analytics, Statistics, Mathematics, Economics, Computer Science, Commerce, or related disciplines\n* Strong interest in analytics, reporting, or data-driven business systems\n* Comfortable working in a remote and structured execution environment\n* Candidates seeking practical industry exposure through internship experience\n\nRequired Skills:\n\n* Basic knowledge of Excel or Google Sheets\n* Analytical and numerical reasoning capability\n* Attention to detail and data accuracy\n* Structured problem-solving mindset\n* Documentation and reporting discipline\n* Good communication and coordination capability\n* Ability to manage assigned tasks independently\n\nPreferred Skills (Optional):\n\n* Basic SQL awareness\n* Familiarity with data visualization tools such as Power BI or Tableau\n* Academic or personal analytics projects\n* Exposure to reporting or dashboard concepts\n\nWhat You Will Gain:\n\n* Practical exposure to analytical and reporting workflows\n* Experience working with structured business datasets\n* Understanding of operational reporting systems\n* Professional workflow and documentation discipline\n* Mentorship in execution-focused analytical environments\n* Certificate of completion based on internship performance\n\nSkillzenLoop is committed to creating a professional learning environment that supports skill development, practical execution, and career readiness through structured remote internship opportunities.",
"search_query": "data analyst",
"scraped_at": "2026-10-26T06:35:30Z"
}Priced at $0.0015 per job from search results ($1.50 per 1,000). With includeJobDetails on (off by default), each job whose detail page loads costs $0.0025 instead ($2.50 per 1,000); if a detail page can't be loaded, that job is saved from search data at $0.0015. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.
Click Open on Apify above to run foundit-in-scraper in your browser - no code, no install. In the Apify console you get:
To run this actor from your own code you need an Apify API token. Get one in about a minute:
Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully. How many results that covers depends on the actor's price per result.
Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.
curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~foundit-in-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'// npm install apify-client
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/foundit-in-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);# pip install apify-client
from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/foundit-in-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)// dotnet add package Apify.Client
using Apify.Client;
var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/foundit-in-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;
ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/foundit-in-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.
https://mcp.apify.com?tools=santamaria-automations/foundit-in-scraperExample prompt once connected:
"Use <code>foundit-in-scraper</code> to run a scrape on my target list and give me the results as a table."
Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.
Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.
@apify/n8n-nodes-apify).santamaria-automations/foundit-in-scraper.https://api.apify.com/v2/acts/santamaria-automations~foundit-in-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.application/json.https://api.apify.com/v2/acts/santamaria-automations~foundit-in-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.https://api.apify.com/v2/acts/santamaria-automations~foundit-in-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.steps.http.$return_value in subsequent steps.https://api.apify.com/v2/acts/santamaria-automations~foundit-in-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.Priced at $0.0015 per job from search results ($1.50 per 1,000). With includeJobDetails on (off by default), each job whose detail page loads costs $0.0025 instead ($2.50 per 1,000); if a detail page can't be loaded, that job is saved from search data at $0.0015. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.
41 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.
Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.
No. This actor reads public pages over HTTP. No API key, no OAuth, no rate-limit management on your side.
Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.