foundit Job Scraper (India, Singapore, Malaysia, Indonesia)

Scrapes job listings from foundit, formerly Monster India, and its sister sites foundit.sg, foundit.my and foundit.id. It returns the title, company, city, salary, experience range, skills, posting date and, optionally, the full job description.

What you can do

• Search by one or more keywords, and optionally by one or more cities.
• Pick the country site: India, Singapore, Malaysia or Indonesia.
• Get the newest jobs first (sortBy: newest, the default), or sort by relevance.
• Keep only recent postings with postedWithinDays (1 = last 24 hours, 7 = last week).
• Switch on includeJobDetails to add the full description (HTML, Markdown and plain text), state, company address, view count and the complete skills list.
• Run it on a schedule with newest plus postedWithinDays to collect only fresh jobs.

Input

Field	Meaning	Default
searchQueries	Keywords, one search each	demo search ("software engineer", 5 jobs)
location	Cities or regions, each searched for every keyword	whole country
country	in, sg, my or id	in
sortBy	newest or relevance	newest
postedWithinDays	Only jobs posted in the last N days, 0 = no filter	0
maxResultsPerQuery	Cap per keyword and location	10
maxResults	Cap across all searches, 0 = no total cap	0
includeJobDetails	Add description and detail fields (one extra request per job)	false

An empty input ({}) runs a small demo search so you can see the output format.

Example:

{
  "searchQueries": ["data analyst", "accountant"],
  "location": ["Mumbai"],
  "country": "in",
  "sortBy": "newest",
  "postedWithinDays": 7,
  "maxResultsPerQuery": 50
}

Output

One row per job. Main fields:

• id, site_job_id (the Job ID shown on the page), title, job_url, source_platform
• company_name, company_logo_url, company_profile_url
• location, city, state, country
• posted_at_datetime, posted_at_text, first_posted_at, expires_at
• employment_type, job_types (for example "Permanent Job"; needs includeJobDetails), remote
• experience_min_years, experience_max_years, experience_text
• salary_min, salary_max, salary_currency, salary_period, salary_text (yearly amounts, empty when the employer hides the salary)
• industry, functions, roles, skills, applicants_count, apply_url
• With includeJobDetails: description_html, description_md, description_full, state, company_address, views_count
• search_query, scraped_at

Many foundit employers do not publish a salary, so the salary fields are empty for most rows. That is a property of the site, not of the scraper.

Pricing

This Actor uses pay-per-event pricing. You pay per job returned. Rows fetched with includeJobDetails are billed as detail results instead of search results. See the Pricing tab for the current rates.

Every Apify account includes a monthly free credit, which is enough to try the Actor on real searches.

Use with AI agents (MCP)

Connect this Actor to any MCP-compatible AI client through the Apify MCP server:

https://mcp.apify.com?tools=santamaria-automations/foundit-in-scraper

Example prompt once connected: "Use foundit-in-scraper to find the newest data analyst jobs in Bengaluru posted in the last 3 days."

Tips

• Use specific job titles ("java developer") rather than single generic words.
• For a daily feed, schedule the Actor with sortBy: newest and postedWithinDays: 1.
• Salaries on foundit.in are in INR per year, on foundit.sg in SGD, and so on for the other sites.

Related actors

• Website Job Extractor: jobs from any company career page
• Indeed HTTP Scraper: international job board
• Glassdoor Scraper: jobs, salaries and reviews
• Website Email Scraper: find contact emails for hiring companies
• Website Contact Extractor: emails and phones from company websites

Support

Open an issue in the Issues tab of this Actor, or write to contact@nanoscrape.com.