Foundit India Job Scraper [Just 💰$0.72]

What does Foundit India Job Scraper do?

Foundit India Job Scraper extracts structured job data from foundit.in — including salary data, apply URLs, company metadata, full descriptions, remote-work indicators, skill tags, and location data. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company profiles) where the source provides them.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• 💰 Structured salary: structured salaryMin, salaryMax and salaryCurrency on every job.
• 🏢 Employer details: company, companyUrl and industry name the employer behind each job.
• 💼 Employment type and work mode: isRemote, employmentType and remote as fields, so you can filter jobs without reading the text.
• 📇 Contact details: contactEmail where the job publishes them.
• 👤 Owner and applicant: applicants name who owns each job.
• 👀 Views and engagement: views show how far each job reached and how people reacted.
• 🔍 Keyword search: search foundit.in by keyword with the query input, in the place you name in location.
• 🔗 Paste-mode: paste foundit.in URLs into startUrls to scrape exactly the pages you picked in the browser.
• 📋 Detail enrichment: two-stage mode: list, then enrich each job with the full description + detail-page fields (apply counts, education, etc.). One toggle, no extra orchestration.
• ♻️ Incremental mode: recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Foundit jobs" pings to your hiring channel.

What data can you extract from foundit.in?

Each result includes Core job fields (key, dedupKey, id, jobId, kiwiJobId, site, title, and url, and more), detail fields when enrichment is enabled (locationDetails, roles, description, descriptionHtml, and detailsIncluded), apply information (applyUrl and externalApplyUrl), and company metadata (company, companyId, companyUrl, and companyLogoUrl). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Detail enrichment is on by default and adds richer fields such as full descriptions and company profiles where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords as you would type them on the site, e.g. "python", "java developer", "sales manager". Required if no startUrls provided. Use a JSON array for multiple searches.
• location — City or region in India, e.g. "Bangalore", "Mumbai", "Delhi / NCR". Leave empty to search all of India. Use a JSON array for multiple locations.
• country — Which market to search. foundit.in covers India. (default: "IN")
• maxResults — Maximum total results (0 = unlimited). (default: 100)
• maxPages — Limit how many result pages are read per search (about 20 jobs per page). 0 = no page limit; Max Results still applies. (default: 0)
• startUrls — Paste raw search URLs from the target site. Each URL becomes its own search task; results are merged and deduped by job ID across all URLs. When provided, startUrls REPLACE the query/location fields (each supported URL becomes one task; unsupported URLs are skipped, and if none is supported the run stops with an input error). (default: [])
• experienceMinYears — Minimum years of experience the job asks for. Leave empty for no lower bound. Jobs whose experience range overlaps your range are returned. Applied by the site, so the result count and cost stay low. If you set only one of from/to, the other end is open.
• experienceMaxYears — Maximum years of experience. Leave empty for no upper bound. If From is larger than To the two are swapped.
• salaryMin — Minimum annual salary in rupees, e.g. 800000 for 8 lakh. Leave empty for no lower bound. Note: the site's salary filter can drop postings that do not disclose a salary, so a salary filter may return far fewer jobs than the same search without it.
• salaryMax — Maximum annual salary in rupees, e.g. 2000000 for 20 lakh. Leave empty for no upper bound. The same warning applies: postings with undisclosed salary may be dropped by the site.
• employmentType — Only jobs of this type. Leave empty for all types.
• postedWithinDays — Only jobs refreshed on the site within the last N days (applied by the site, which keys off foundit's refresh date, not the original posting date). Leave empty for no limit. A recency window never marks jobs as expired in incremental mode.
• ...and 28 more parameters

Input examples

Basic search — Keyword-driven search scoped to a city with a tight radius.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "python",
  "location": "Bangalore",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "python",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "python-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "query": "python",
  "employmentType": "permanent",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "key": "foundit:IN:69512911",
  "dedupKey": "foundit:IN:69512911",
  "id": "69512911",
  "jobId": "69512911",
  "kiwiJobId": "155952839",
  "site": "foundit.in",
  "title": "Python Gen AI Senior Consultant",
  "url": "https://www.foundit.in/job/python-gen-ai-senior-consultant-infosys-limited-bengaluru-bangalore-69512911",
  "syndicated": false,
  "company": "Infosys Limited",
  "entityName": "Infosys Limited",
  "companyId": "639690",
  "companyUrl": "https://www.foundit.in/search/infosys-limited-639690-jobs-career",
  "companyLogoUrl": "https://media.monsterindia.com/logos/xinfosusltdx/jdlogo.gif",
  "companyAbout": "Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over three decades of experien...",
  "employerType": "Company",
  "recruiterName": "Sonali Kherudkar",
  "location": "Bengaluru",
  "locationText": "Bengaluru",
  "locations": [
    "Bengaluru / Bangalore"
  ],
  "cities": [
    "Bengaluru / Bangalore"
  ],
  "states": [
    "Karnataka"
  ],
  "countries": [
    "India"
  ],
  "country": "India",
  "locationDetails": [
    {
      "city": "Bengaluru / Bangalore",
      "state": "Karnataka",
      "country": "India",
      "latLon": "12.971599,77.594563"
    }
  ],
  "workFromHome": false,
  "isRemote": false,
  "remote": false,
  "experienceText": "5-9 Years",
  "experienceMin": 5,
  "experienceMax": 9,
  "experienceMinYears": 5,
  "experienceMaxYears": 9,
  "salaryHidden": true,
  "functions": [
    "Others"
  ],
  "functionalArea": "Others",
  "functionalAreas": [
    "Others"
  ],
  "roles": [
    "Other Roles"
  ],
  "designations": [
    "Other Roles"
  ],
  "employmentTypes": [
    "Full time"
  ],
  "employmentType": "Full time",
  "jobTypes": [
    "Permanent Job"
  ],
  "skills": [
    "Python Gen AI Senior Consultant",
    "AI solutions",
    "LLMs"
  ],
  "postedAt": "2026-10-21T06:32:50.000Z",
  "createdAt": "2026-10-21T06:32:50.000Z",
  "updatedAt": "2026-10-21T06:32:50.000Z",
  "closesAt": "2026-12-19T18:30:00.000Z",
  "expiresAt": "2026-12-19T18:30:00.000Z",
  "postedText": "16 hours ago",
  "isActive": true,
  "applicants": 36,
  "applicantsCount": 36,
  "views": 64,
  "viewsCount": 64,
  "urgentlyHiring": false,
  "isUrgentlyHiring": false,
  "greatPlaceToWork": true,
  "description": "We are looking for an experienced Python and Generative AI professional to develop and implement AI-driven solutions that address complex business challenges. The ideal candidate should have strong Py...",
  "descriptionHtml": "<p>We are looking for an experienced Python and Generative AI professional to develop and implement AI-driven solutions that address complex business challenges. The ideal candidate should have strong...",
  "detailsIncluded": true,
  "query": "python",
  "searchQuery": "python",
  "searchLocation": "Bangalore",
  "sourceUrl": "https://www.foundit.in/srp/results?query=python&locations=Bangalore",
  "scrapedAt": "2026-10-21T22:58:56.589Z",
  "capturedAt": "2026-10-21T22:58:57.626Z",
  "listingId": "155952839",
  "portalUrl": "https://www.foundit.in/job/python-gen-ai-senior-consultant-infosys-limited-bengaluru-bangalore-69512911",
  "descriptionMarkdown": "We are looking for an experienced Python and Generative AI professional to develop and implement AI-driven solutions that address complex business challenges. The ideal candidate should have strong Py...",
  "source": "foundit.in",
  "contentQuality": "full",
  "detailFetched": true
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape foundit.in

1. Go to Foundit India Job Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Keep includeDetails on (the default) for full descriptions, company data, or turn it off for faster, cheaper runs.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from foundit.in for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed jobs on scheduled runs without processing the full dataset every time.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Analyze skill demand across listings using structured skill tags.

How much does it cost to scrape foundit.in?

Foundit India Job Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.00045 per run
• Per result: $0.00072 per job record

Example costs:

• 10 results: $0.00765
• 25 results: $0.018
• 100 results: $0.072
• 200 results: $0.14
• 500 results: $0.36

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 jobs per run, daily polling (30 runs/month). Costs scale linearly with the number of jobs.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.18	$0.00945	$0.17 (95%)	$0.28
15% — moderate broad query	$0.18	$0.03	$0.15 (85%)	$0.82
30% — high-volume aggregator	$0.18	$0.05	$0.13 (70%)	$1.63

Full re-scrape monthly cost at the same cadence: $5.41. First month with incremental costs $0.45 / $0.98 / $1.76 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from foundit.in?

The number of results depends on the search query and available jobs on foundit.in. Use the maxResults parameter to control how many results are returned per run.

Does Foundit India Job Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Foundit India Job Scraper with other apps?

Yes. Foundit India Job Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Foundit India Job Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Foundit India Job Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape foundit.in?

This actor extracts publicly available data from foundit.in. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on foundit.in. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Foundit India's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Foundit India or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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