Foundit Jobs Scraper

💼 What is Foundit Jobs Scraper?

Foundit Jobs Scraper extracts job listings from Foundit (formerly Monster India) on its 7 country sites: India, Singapore, Malaysia, Indonesia, Hong Kong, the Philippines and the Gulf: job title, company, salary, experience, location, skills, posting date, applicants, recruiter name and the apply link of the employer, and on request the full job description, GPS coordinates, views, company card and the recruiter's phone. It works as a Foundit API alternative: run it on a schedule, call it from your code, or plug it into Make, Zapier or n8n.

Type a keyword (python developer) and a city (Bangalore), or paste any Foundit search URL, click Start, and download the jobs in JSON, CSV or Excel. No Foundit account, nothing to set up. One search returns up to 9,500 jobs, and bigger searches are split automatically to go further.

📋 What data can you extract from Foundit?

One item per job, 75 fields:

Category	What you get
🏷️ Job	title, link, Foundit job id, country site and country — Solution Engineering Lead
🏢 Company	name (or confidential), logo, Foundit company id, page with all its jobs, Great Place To Work badge — Sign On Solutions Private Limited
💰 Salary	text as shown, yearly and monthly min and max in the site's currency, in lakhs on foundit.in, hidden or not — 20,00,000-24,00,000 INR
🎓 Experience	years asked (min, max) and as shown — 5-8 Years
📍 Location	city as shown; with details, every location with state, country and GPS coordinates — Bengaluru
🧰 Skills and role	key skills, job functions, roles, designations, industries — Python, IT
🗂️ Job type	full or part time, permanent, contract, work from home, walk-in drive (venue, dates, contact), jobs for women, nationalities asked
👤 Recruiter	company or consultant, name of the recruiter who posted the job, recruiter id; the recruiter's phone as an option
🕒 Dates and activity	posting date, last update, closing date, age as shown, applicants, views, urgently hiring, hot job, still open, one-click apply
🔗 Origin and apply	posted on Foundit or copied from another site, and the employer's or original site's apply link
📝 Description	full job description as text and HTML, company presentation, headquarters and industries
🔎 Search	the keyword, location and search URL that found the job

Every field, with an example, is listed in the Output section below.

Fields marked detail in that list (full description, every location with GPS, views, company card, full skills list…) are filled when Extract details is on. It is off by default: the results list alone already gives title, company, salary, experience, location, skills, applicants, recruiter name, dates and the apply link of copied jobs.

✅ Why use Foundit Jobs Scraper?

• 🌏 The 7 Foundit sites in one run: India, Singapore, Malaysia, Indonesia, Hong Kong, the Philippines and the Gulf (UAE, Saudi Arabia, Qatar…), each salary in its own currency.
• 📈 Up to 9,500 jobs per search, and searches above that are split automatically into smaller parts to go further. No fixed cap per run.
• 👤 Recruiter name on the jobs a recruiter posted on Foundit, and the recruiter's phone as an option, charged only when a real number is found.
• 🔗 Paste what you have: search URLs of any of the 7 sites (with their filters), company job pages, single job URLs or job ids.
• 🎯 Every Foundit filter, by name: experience, salary band, freshness, job type, employment type, company or consultant, industry, function, company, quick apply. Type IT/Computers - Software or Infosys Limited, no id to look up.
• 🧹 More filters than Foundit itself: posting date range, keywords to include or exclude, companies to exclude, experience asked, only jobs with a visible salary, only jobs posted on Foundit (or only the copied ones), Great Place To Work companies, urgently hiring, no confidential companies, a cap per company, only jobs with a recruiter phone.
• 🧭 Where a job really comes from: Foundit copies many of its jobs from career sites and other job boards; each job says whether it was posted on Foundit or copied, with the original apply link.
• 🔔 Monitoring built in: tick Only new jobs, schedule the Actor, and each run returns (and charges) only the jobs it has never delivered before.
• 🗂️ Several searches in one run: keywords × locations × country sites, with a cap per search, each job returned once.
• 📊 Market statistics (option): one sheet per search — total jobs, top hiring companies, cities, salary bands, experience, top skills, work from home share.
• 🔌 API, scheduling, integrations (Make, Zapier, n8n, Google Sheets…) and JSON/CSV/Excel export via the Apify platform.

🚀 How to scrape Foundit

1. Create a free Apify account.
2. Open Foundit Jobs Scraper, choose the Country site, type Search keywords (e.g. python developer) and a Location (e.g. Bangalore), and set the Foundit filters you want.
3. Or paste your own Foundit URLs into Start URLs (any search results page, with its filters, a company's job page, or single job pages), or job ids into Job ids.
4. Set Max jobs (100 by default, 0 = no limit) — and Max jobs per search when you run several searches — then click Start.
5. Download the dataset in JSON, CSV, Excel or via API.

💰 How much does it cost to scrape Foundit?

This Actor uses pay per event pricing: you pay for the jobs you get, and the exact prices for your Apify plan are shown in the Pricing tab. Platform usage (compute, proxy) is included.

• result: each job saved from the results list.
• result-with-details: each job saved with its full job page (Extract details on, or a job pasted by URL or id) — one price for the job, details included, not on top of result.
• recruiter-phone (option, off by default): each job delivered with a real phone number by Add the recruiter's phone (the recruiter's, or one written in the job text), once per job whatever the count of numbers, on top of the job's price; a job without a number is never charged for it.
• market-stats (option, off by default): each search sheet of Add market statistics per search; the sheet of a search that found no job is free.
• A small fee per run start.
• Filters Foundit does not offer are applied by the Actor on every job it reads: a job you keep costs its normal price, a job a filter drops costs only a small filter fee (filter-check, or detail-filter-check when the filter needs the job page) — filtering never costs more than taking everything.

⚙️ Input

{
    "query": "python developer",
    "location": "Bangalore",
    "experience": 3,
    "postedWithinDays": 7,
    "maxItems": 200
}

Several searches on two country sites, a cap per search, only recent jobs, only the ones not delivered before:

{
    "country": "gulf",
    "countries": ["singapore"],
    "searchQueries": ["accountant", "sales manager"],
    "locations": ["Dubai", "Singapore"],
    "maxItemsPerQuery": 50,
    "postedAfter": "7 days",
    "onlyNew": true,
    "stateKey": "gulf-singapore"
}

Or with your own URLs, full job pages and the recruiter's phone:

{
    "startUrls": [
        { "url": "https://www.foundit.in/srp/results?query=python&locations=Bangalore&experienceRanges=2~5" },
        { "url": "https://www.foundit.in/search/infosys-limited-639690-jobs-career" }
    ],
    "extractDetails": true,
    "includeRecruiterPhone": true,
    "maxItems": 100
}

Field	What it does
startUrls	Foundit search URLs of any of the 7 sites (https://www.foundit.in/srp/results?query=python&locations=Bangalore, https://www.foundit.sg/search/engineer-jobs), company job pages (https://www.foundit.in/search/infosys-limited-639690-jobs-career) or single job pages. Keyword, location and every filter of the URL are kept, and the Foundit filters of the form are added (the URL wins when both set the same one). When filled, the search fields are ignored. Max 1,000 URLs.
jobIds	Foundit job ids (the number at the end of a job URL, 69508887), read on the Country site, like pasting their job pages.
country, countries	The Foundit site to search: india (default), singapore, malaysia, indonesia, hongkong, philippines or gulf (UAE, Saudi Arabia, Qatar…); add more sites in countries and each search runs on each of them. Salaries come in the site's currency.
query, searchQueries	Keywords as typed in the Foundit search box: job title, skill, designation or company (python developer, data analyst). Words separated by commas = any of them (python, java). Empty = every job of the location and filters; empty with nothing else at all (no location, Foundit filter, other site, start URL or job id) = a short example run (python in Bangalore, 20 jobs).
location, locations	City as typed on Foundit, no id needed (Bangalore, Pune, Singapore, Dubai). Empty = the whole country site (with a keyword or a Foundit filter; with nothing else at all, the example run: python in Bangalore). Every keyword is searched in every location, on every site (max 500 searches per run).
maxItems, maxItemsPerQuery	Max jobs for the whole run (100 by default, 0 = no limit), and for EACH search so that the first search cannot use up the whole budget (0 = no per-search cap).
experience	Your experience in years: Foundit keeps the jobs whose experience range includes it (3 keeps 2-5 and 3-7 years).
salaryMin, salaryMax	Yearly salary band in the site's currency, in full (1000000 = ₹10 lakhs on foundit.in). Foundit keeps the jobs whose band overlaps it, including the jobs that hide their salary.
postedWithinDays	Jobs posted in the last N days, Foundit's own freshness filter (1, 7, 30, any number up to 365).
jobTypes	workFromHome, permanent, contract, walkin (walk-in interviews) or women (jobs for women). Several = any of them.
employmentTypes	fullTime or partTime.
postedBy	company (the employer itself) or consultant (recruitment agencies); any by default.
sortBy	date (newest first, default) or relevance. With a cap, date gives the newest jobs and reads every job once; relevance can skip a few jobs on long searches.
industries, functions	Names exactly as Foundit shows them (IT/Computers - Software, Sales/Business Development). Several = any of them. Tip: copy them from a first run.
companies	Only the jobs of these companies, full names as Foundit shows them (Infosys Limited). With an empty keyword: every open job of the company.
companyIds	Only the jobs of these companies, by Foundit company id (639690): the companyId column of any result.
quickApplyOnly	Keep only the jobs that can be applied for in one click on Foundit.
extractDetails	Open each job page: full description (text and HTML), all IT skills, every location with state and GPS coordinates, views, industries, the employer's apply link and the company card (city, country, industries, presentation). Off by default (charged as a job with details).
includeRecruiterPhone	Add the recruiter's phone and the phone numbers written in the job text (with job details). The recruiter's mobile number is there on about 1 job in 5 posted directly on Foundit, almost never on jobs copied from other sites; the job text holds a number on about 1 job in 16, copied jobs included. Placeholders, example numbers and switchboard numbers repeated across companies are removed. No extra page read. Off by default, charged once per job delivered with a number.
includeMarketStats	One sheet per search in the MARKET_STATS record of the run's key-value store, computed on the jobs read: total jobs on Foundit, top hiring companies, cities, salary bands (min, median, max), experience asked, top skills, work from home share, company or consultant, posted on Foundit or copied, quick apply share. No extra page read. Off by default.
postedAfter, postedBefore	Posting date range: 2026-09-01, or a period before now (7 days, 24 hours, 2 weeks, 1 month).
excludeKeywords, includeKeywords	Drop the jobs whose title contains one of these texts (trainee; a text inside a longer word counts too: intern also drops "International Sales"); keep only the jobs whose title, company name or skills contain one of them (with Extract details, the description too). Case and accents ignored.
excludeCompanies	Drop the jobs whose company name contains one of these words (staffing).
experienceMin, experienceMax	Experience the job asks for, in years: its range must reach the minimum (5) and start at or below the maximum (0 = fresher jobs). Jobs without a range are left out.
onlyWithSalary	Keep only the jobs that show their salary to candidates.
jobSource	native = posted on Foundit by a recruiter (with the recruiter's name and, sometimes, phone); reposted = copied by Foundit from career sites and other job boards (about 9 in 10 on foundit.in, with the original apply link); any by default.
greatPlaceToWorkOnly, urgentOnly	Keep only the jobs of companies certified Great Place To Work; keep only the jobs marked urgently hiring.
excludeHiddenCompanies	Drop the jobs whose employer keeps its name confidential.
maxItemsPerCompany	At most this many jobs of the same company in the run, the first ones read (0 = no cap).
requirePhone	Keep only the jobs with a real phone number: the recruiter's or, with Extract details, one written in the job text; needs Add the recruiter's phone. With Extract details the page of a job without a recruiter number is read to look in its text, and a job dropped there costs the page filter fee.
onlyNew, stateKey, resetState	Monitoring: only the jobs never delivered under this memory key (python-bangalore); resetState forgets the memory.
Advanced	proxyConfiguration (Apify proxy by default, included in the price; the residential proxy is not available), maxConcurrency, maxRequestsPerMinute, minRequestIntervalMs, maxRequestRetries, debugLog.

📦 Output

One job found by the search python in Bangalore, with Extract details and Add the recruiter's phone on (shortened: empty and long fields cut, recruiter's contact masked):

{
    "id": "69508887",
    "url": "https://www.foundit.in/job/solution-engineering-lead-sign-on-solutions-private-limited-bengaluru-bangalore-69508887",
    "title": "Solution Engineering Lead",
    "site": "www.foundit.in",
    "countryCode": "IN",
    "companyHidden": false,
    "country": "india",
    "companyName": "Sign On Solutions Private Limited",
    "companyId": 92682,
    "companyJobsUrl": "https://www.foundit.in/search/sign-on-solutions-private-limited-92682-jobs-career",
    "companyLogoUrl": "https://media.monsterindia.com/logos/xsignoninx/jdlogo.gif",
    "companyCity": "Hyderabad",
    "companyCountry": "India",
    "companyIndustries": [],
    "isGreatPlaceToWork": false,
    "location": "Bengaluru",
    "locations": [
        {
            "city": "Bengaluru / Bangalore",
            "state": "Karnataka",
            "country": "India",
            "countryCode": "IN",
            "latitude": 12.971599,
            "longitude": 77.594563
        }
    ],
    "state": "Karnataka",
    "latitude": 12.971599,
    "longitude": 77.594563,
    "experienceMin": 5,
    "experienceMax": 8,
    "experienceText": "5-8 Years",
    "salaryMin": 2000000,
    "salaryMax": 2400000,
    "salaryMonthlyMin": 166667,
    "salaryMonthlyMax": 200000,
    "salaryCurrency": "INR",
    "salaryMinLakhs": 20,
    "salaryMaxLakhs": 24,
    "salaryText": "20,00,000-24,00,000 INR",
    "salaryHidden": false,
    "skills": [
        "Ai",
        "implementation experience",
        "Client Interaction",
        "Python",
        "Backend Engineer",
        "Sql",
        "data engineering"
    ],
    "functions": [
        "IT"
    ],
    "roles": [
        "Team Leader/Technical Leader"
    ],
    "designations": [
        "Team Leader/Technical Leader"
    ],
    "industries": [
        "Pharmaceutical"
    ],
    "employmentTypes": [
        "Full time"
    ],
    "jobTypes": [
        "Permanent Job"
    ],
    "isWorkFromHome": false,
    "isWalkIn": false,
    "isForWomen": false,
    "nationalities": [
        "Indian"
    ],
    "postedByType": "consultant",
    "recruiterName": "Suman S.",
    "recruiterId": 282161,
    "recruiterPhone": "94406XXXXX",
    "descriptionPhones": [],
    "applicants": 67,
    "views": 46,
    "isUrgentlyHiring": false,
    "isHotJob": false,
    "hasScreeningQuestions": false,
    "isActive": true,
    "isEarlyApplicant": false,
    "quickApply": true,
    "source": "native",
    "leadScore": 80,
    "leadSignals": [
        "native",
        "phone",
        "fresh",
        "salary",
        "company",
        "active"
    ],
    "jobClassification": "ORGANIC",
    "publishedAt": "2026-10-20T14:55:38.000Z",
    "updatedAt": "2026-10-20T14:55:38.000Z",
    "postedText": "a day ago",
    "closesAt": "2026-12-18T18:30:00.000Z",
    "descriptionHtml": "<p><strong>Solution Engineering Lead </strong></p><p><strong>Role Overview</strong></p><p>We are seeking a Lead Implemen…",
    "description": "Solution Engineering Lead\nRole Overview\nWe are seeking a Lead Implementation Consultant – AI Application Implementation to drive the successful deployment of Mareana's AI-based ent…",
    "searchQuery": "python",
    "searchLocation": "Bangalore",
    "searchUrl": "https://www.foundit.in/srp/results?query=python&locations=Bangalore&sort=2",
    "scrapedAt": "2026-10-21T22:01:32.731Z"
}

You can download the dataset in various formats such as JSON, HTML, CSV or Excel.

All 75 fields

Fields	What you get
id, url, title	Job: Foundit job id, public job page, title
site, country, countryCode	Foundit site the job was read on (www.foundit.in), the site as chosen in the input (india), ISO code of the job's country
companyName, companyHidden, companyId, companyLogoUrl	Company: name (null when the employer keeps it confidential, companyHidden is then true), Foundit company id (input Companies (Foundit ids)), logo
companyJobsUrl, companyPageUrl, isGreatPlaceToWork	Foundit page with all the company's jobs, company page on Foundit when there is one, Great Place To Work certified
companyDescription, companyCity, companyCountry, companyIndustries	company presentation; headquarters city, country and industries (detail)
location, locations	Location: as shown on the results list; every location with state, country and GPS (detail; results list: cities only)
state, latitude, longitude	state and GPS coordinates of the first location (detail)
experienceMin, experienceMax, experienceText	Experience asked, in years, and as shown (5-8 Years); null when the job states none (the site shows nothing)
salaryMin, salaryMax, salaryMonthlyMin, salaryMonthlyMax, salaryCurrency	Salary: yearly and monthly band in the site's currency (INR, SGD, AED…); null when hidden
salaryText, salaryHidden	salary as shown (42,000-54,000 SGD, 20,00,000-24,00,000 INR) and hidden from candidates or not, on all 7 sites
salaryMinLakhs, salaryMaxLakhs	India only: yearly band in lakhs of rupees
skills, functions, roles, designations, industries	Skills and role: key skills (detail: the full IT skills list), job functions, roles, designations, industries of the job
employmentTypes, jobTypes, isWorkFromHome, isForWomen, nationalities	Job type: full or part time; permanent, contract, work from home, walk-in…; jobs for women; nationalities asked (Gulf and South-East Asia sites)
isWalkIn, walkInVenue	walk-in interview, with the venue, dates and contact of the drive
postedByType, recruiterName, recruiterId, recruiterPhone, descriptionPhones	Recruiter: company or consultant; name of the recruiter who posted the job (null when Foundit only shows the company); Foundit recruiter id; mobile number and phone numbers written in the job text, 5 at most, with job details (option Add the recruiter's phone)
applicants, views, isEarlyApplicant, quickApply	Activity: candidates who applied, views (detail), few applicants yet, one-click apply on Foundit
isUrgentlyHiring, isHotJob, hasScreeningQuestions, isActive	urgently hiring, "hot job" on Foundit, screening questions asked, job still open
source, jobClassification	Origin: native (posted on Foundit by a recruiter) or reposted (copied from a career site or another job board); Foundit's raw classification
leadScore, leadSignals	Lead score for a recruitment agency, 0 to 100, free and computed from the row's own fields: is the company hiring actively and can it be reached? Points: native 20 (posted on Foundit by the employer), phone 20 (a real phone number, the recruiter's or one in the job text, counted even when the option is off), urgent 15 (urgently hiring), fresh 15 (published 7 days or less before the run), salary 10 (salary shown), company 10 (company named), active 5 (job still open), fewApplicants 5 (fewer than 50 applicants). leadSignals lists the ones the job has.
applyUrl, applyHost	employer or original site to apply on, and its host (linkedin.com)
publishedAt, updatedAt, closesAt, postedText	Dates (ISO 8601): posting, last update, closing date set by the employer; age as shown (a day ago)
description, descriptionHtml	Description (detail): full job description as plain text and as HTML
searchQuery, searchLocation, searchUrl, scrapedAt	Search: keyword, location and Foundit search URL that found the job (null for job URLs and ids); time of the extraction

💡 Tips

How to get more results

One Foundit search gives up to 9,500 jobs. Above that, the Actor splits the search automatically by city, then by years of experience, and reads each part, to go beyond 9,500 jobs (a search such as all jobs in Bangalore counts more than 50,000). Set maxItems to 0 for no cap, or use several keywords, locations and country sites.

How to reduce costs

The price is per job, so the levers are maxItems, maxItemsPerQuery, the Foundit filters (free: Foundit only returns the matching jobs), the Actor's own filters (a dropped job costs only the filter fee) and onlyNew for recurring runs (you never pay twice for the same job). Leave Extract details off when the results-list fields are enough: a job with its full page costs more than a job from the list.

Several searches in one run

Fill searchQueries and / or locations (and countries): the Actor runs one search per keyword × location × country site (3 keywords × 4 cities = 12 searches, up to 500 per run). The single query and location fields still work and are added to the lists. A job found by several searches is saved — and charged — once. Set maxItemsPerQuery to give every search its own cap: without it the first searches can use up the whole maxItems budget. You can also paste several search URLs into startUrls: each one is a search of its own, with the same cap.

Monitoring: only the new jobs

Tick Only new jobs (onlyNew) and schedule the Actor. The first run returns everything; each later run skips the jobs already delivered: they are not saved, not charged and, for jobs found by a search, their page is not even opened. The memory lives in a named key-value store of your account (foundit-jobs-scraper-seen, up to 150,000 jobs per key) and is only updated with jobs that really reached the dataset, so a failed run never hides anything. Give each schedule its own stateKey (two schedules sharing a key would hide each other's jobs), and tick resetState once to start over. Searches are then read newest first, and a search stops once it meets a long run of jobs you already have.

Filter by posting date

postedAfter and postedBefore take a date (2026-09-01, the whole day is included, India time) or a period before now (7 days, 2 weeks, 1 month, 24 hours; via the API also a full ISO date-time). The filter reads publishedAt; a job without a posting date is dropped as soon as a date bound is set. Filtered-out jobs are not saved and do not count in maxItems (each job dropped costs the filter fee, see Pricing); the run summary tells how many were filtered. With postedAfter, searches are read newest first and stop at the first page that is entirely too old. For the last N days, Foundit's own Posted within (days) filter is free.

Jobs posted on Foundit or copied

Foundit copies many of its jobs from employers' career sites and other job boards. Set Job source to Posted on Foundit to keep the jobs a recruiter posted on Foundit itself (recruiter name, sometimes a phone), or to Copied from other sites to keep the others, each with its original apply link (applyUrl).

🔌 Integrations and API

Call the Actor via the Apify API, the JavaScript or Python clients, or connect it with integrations and webhooks (Make, Zapier, n8n, Google Sheets, Slack, Airtable…). The dataset can be fetched as JSON or CSV from any tool.

🤖 Use with AI agents (MCP)

AI agents and assistants can find and run this Actor through the Apify MCP server, billed to their Apify account like any run. It returns one item per Foundit job. Actor id: nice_dev/foundit-jobs-scraper; MCP server with this Actor only: https://mcp.apify.com/?tools=fetch-actor-details,nice_dev/foundit-jobs-scraper.

Smallest input, for a cheap first call:

{
    "query": "python developer",
    "location": "Bangalore",
    "maxItems": 10
}

Key output fields: url, title, companyName, salaryText, experienceText, location, skills, publishedAt, and description (with extractDetails).

Cost: pay per event — per job saved (result, or result-with-details with the full job page) plus a small fee per run start, see the pricing section above and the Pricing tab. Cap each call with maxItems and, through the API, with the run option maxTotalChargeUsd.

❓ FAQ

Is it legal to scrape Foundit?

The Actor only reads what Foundit shows publicly to any anonymous visitor. It logs in to nothing and needs no Foundit account. Results can contain personal data (the name of the recruiter who posted a job and, with the option, the phone number the recruiter published with it and the numbers the employer wrote in the job text), which is protected by laws such as the GDPR, India's Digital Personal Data Protection Act and the data protection laws of Singapore, Malaysia, Indonesia, Hong Kong, the Philippines and the Gulf countries: do not store or use it without a legitimate reason. You are responsible for using the data in compliance with Foundit's Terms of Use and applicable law. This Actor is not affiliated with Foundit (formerly Monster India).

Does it give the recruiter's e-mail or phone number?

Foundit hides the companies' e-mails and phone numbers. A job a recruiter posted on Foundit carries the recruiter's name and, on about 1 job in 5, a mobile number the recruiter published: tick Add the recruiter's phone to get it (charged only when a real number is delivered). With Extract details the same option also lists the phone numbers the employer wrote in the job text, copied jobs included (about 1 job in 16); e-mail addresses are masked by Foundit, so none is returned. Jobs copied from other sites have no recruiter number: they usually come with the employer's apply link instead.

Does it need a login or a proxy?

No login. The proxy is included in the price: leave the default setting (the residential proxy is not available). A request the site turns away is retried at once on a new proxy session, up to 10 times on top of the retries (without a proxy, after a pause of 5 seconds, doubled at each retry up to 150 seconds).

Is the data safe to open in Excel or to show on a web page?

Titles and descriptions are the employers' own words, copied as they are. A text can begin with -, +, = or @ (a title, a phone number): Excel and Google Sheets may read such a cell of a CSV file as a formula or as a number. The Actor leaves the text as it is, so that the JSON and the API give the real value: when you open a CSV, import these columns as text. descriptionHtml is the employer's HTML, not sanitized: on a web page, escape every field like any text written by a stranger.

Known limitations

• Many Foundit jobs hide their salary: salaryMin / salaryMax are then null and salaryHidden is true (Foundit's salary filter still matches them by their hidden band).
• Above 9,500 jobs, a split search may still miss some jobs (a job only in a city absent from the first page, or a part of the search that is itself above 9,500 jobs); the run log says so when it happens.
• Fields marked detail are null or empty when extractDetails is off; recruiterName is null on jobs copied from other sites.
• onlyNew remembers job ids, not their content: a job whose salary changed is not returned again.
• Two runs sharing the same stateKey at the same time may both return the same new job.

A run that reaches its timeout stops itself about 45 seconds before it: no new page is asked, what it read is saved and, with onlyNew, remembered, and the run ends Succeeded with "Stopped before the run's timeout". Resurrect it to go on from there, or give the next run a longer timeout (Run options).

A run the platform stops without warning (out of memory)

• Resurrect it: it goes on from where it stood at most a minute before the stop. What it had read since is read again, and the jobs already saved are skipped: none is delivered or charged twice, and maxItems still counts them.
• With onlyNew, the memory is saved after each write (at most once every 2 seconds): resurrect the stopped run and the jobs it had saved meanwhile join the memory; leave it stopped for good, and the next run may return the jobs of its last 2 seconds once more.

Something doesn't work?

The last line of the log counts the jobs saved, filtered out and no longer on Foundit (closed while the run was reading them), and the requests that failed after every retry. Those requests and the closed jobs are listed, with the reason, in the FAILED_REQUESTS record of the run's key-value store. A run that saved nothing and had failed requests fails, and its last message gives the cause.

If Foundit changes its pages, you are told instead of paying for blank rows. A results page that counts jobs but gives none the Actor can read is an error (listed in FAILED_REQUESTS), never a quiet "No jobs found". If the first 20 jobs read all lack their title, posting date, link, source, company name (a confidential company does not count) or — with extractDetails — description, the run saves nothing more, stops and fails, and its last message names the missing field: at most those first jobs are charged. A job that postedAfter / postedBefore drops because it has no date at all counts among those 20. A run of fewer jobs (a scheduled onlyNew run that finds a few new ones, a small Max jobs) is checked at its end, from 5 jobs: its jobs are already saved, and the run fails with the missing field instead of ending green.

🛟 Support

Open an issue in the Issues tab with a link to your run: the run log and the FAILED_REQUESTS record of the key-value store show exactly which URLs failed and why.