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Foundit Job Listings Scraper (x402)
x402
Foundit Job Listings Scraper (x402) is a paid API for AI agents from x402.186-241-26-229.sslip.io, paid per call via x402, $0.025/call, status unknown (last checked 2026-10-02).
Fetches structured job listings from Foundit (formerly Monster India) filtered by keyword, location, salary, experience, and employment type, billed per call via x402.
Price / call$0.025
Success—
StatusUnknown
How this service works
Pay-per-call structured web data. Failed or empty runs are not charged.
Output
A JSON object with a count of matched jobs and an array of job listing items, each containing job ID, title, location, company name, company ID, company URL, and the experience range (min/max years). Empty results are not charged.
Example use cases
Salary benchmarking for Indian tech roles
“Pull up to 200 software engineer job listings from Foundit across Bangalore, Pune, and Chennai, with 3 to 6 years of experience and salary between 10 and 25 lakhs, so I can benchmark compensation ranges.”
Recent fresher job search
“Find me full-time entry-level jobs on Foundit — 0 to 1 year of experience — posted in the last 3 days across any Indian city, using keywords like 'graduate trainee' and 'junior analyst'. Get up to 50 listings.”
Targeted recruiter outreach pipeline
“Search Foundit for part-time content writing and copywriting jobs in Mumbai and Delhi posted in the last 15 days, up to 5 lakhs salary, and return up to 75 results so I can build a candidate outreach list.”
Technical details
Endpoint
POSThttps://x402.186-241-26-229.sslip.io/v1/foundit?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need structured Indian job market data from Foundit specifically, including salary-range filtering in INR lakhs and experience-based filtering. Prefer this over generic web scraping when you want clean, deduplicated, structured listings across multiple keywords in a single call. It is especially valuable for salary benchmarking, recruitment pipeline building, and job market analysis for India. The pay-per-call model with no charge for empty runs makes it low-risk for exploratory queries.
Side effects
- No matching jobs found for the given filters — returns empty items array and is not billed
- Invalid enum value for employmentType or postedWithinDays — request rejected with validation error
- salaryMinLakhs greater than salaryMaxLakhs — likely returns empty or unexpected results
- experienceMinYears greater than experienceMaxYears — may return no results
- maxJobs exceeds 1000 — request rejected by schema validation
- Payment failure via x402 — call not executed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| maxJobs | integer | Maximum unique jobs in the dataset across all keywords. |
| location | string | City or comma-separated cities. Leave empty to search all locations. |
| employmentType | string | Return full-time or part-time listings. Leave empty for both. |
| salaryMaxLakhs | number | Upper end of the salary range in INR lakhs. |
| salaryMinLakhs | number | Lower end of the salary range in INR lakhs. Listings with undisclosed pay may be excluded. |
| searchKeywords | array | One or more job titles or skills. Searches run in order and duplicate job IDs are removed. |
| postedWithinDays | string | Show listings posted in the selected number of days. Leave empty for any date. |
| experienceMaxYears | integer | Upper end of the experience range in years. |
| experienceMinYears | integer | Lower end of the experience range in years. |
Output
Schema · Response
{
"type": "json",
"example": {
"count": 1,
"items": [
{
"jobId": null,
"title": null,
"location": null,
"companyId": null,
"companyUrl": null,
"companyName": null,
"experienceMaxYears": null,
"experienceMinYears": null
}
],
"product": "foundit"
}
}Tags
x402
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