Keka Careers Jobs Exporter
Pricing
from $33.50 / 1,000 job records
Keka Careers Jobs Exporter
One structured job record per active opening from employer career portals powered by Keka Hire — title, company, location, apply link. Keyless, logged-out, robots-honoured. Pay per job.
Pricing
from $33.50 / 1,000 job records
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NexGen Watch
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🧑💻 Keka Careers Jobs Exporter
One structured job_record per active opening from employer career portals powered by Keka Hire — keyless, logged-out, robots-honored.
Difference: One normalized record per Keka active requisition across one or many tenants — employer + host identity, title, department, job type, experience, org-level location (city/state/country), salary range, skills, excerpt, description, and the public job URL. The data is read only from Keka's robots-ALLOWED /careers/ path (Keka disallows root / and allows /careers/; the careers app itself serves its JSON under /careers/api/...), never from the disallowed root API.
Output is one keka_job row per result; billing is pay-per-event, the value event being one job record (a $0.02 start fee per run, then $0.05 per job record).
Who buys this
Buyers usually search for Keka jobs or Keka careers.
- Recruiters and staffing agencies pulling Keka jobs at target employers.
- Job boards and aggregators adding Keka careers as clean, deduplicated rows.
- Sales and labour-market analysts using new postings as a hiring signal.
📊 Sample Output
Real rows from run yvf9Qcj7AhKigscXh on build 0.2.11 (2026-09-28), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):
| employer | tenant_host | job_number | title | department | department_id |
|---|---|---|---|---|---|
| Pennant Technologies | pennanttech.keka.com | PT0063 | Senior Manager, Presales | Sales & BDM | f26ef5e7-681d-40fe-b15e-6e4612a5338b |
| Pennant Technologies | pennanttech.keka.com | PT0062 | Manager, Strategic Alliances & Partnerships | Sales & BDM | f26ef5e7-681d-40fe-b15e-6e4612a5338b |
| SPYNE | spyneai.keka.com | SPYNE/24-25/230 | Manager - Sales (US) | GTM | 07485e29-b6d8-467c-bc62-876818adc6bf |
| SPYNE | spyneai.keka.com | SPYNE/24-25/229 | Program & Strategy, Founder's Office | Program & Strategy | 209f03bd-89f1-4ca0-b14b-3e1d60bc4e37 |
| SPYNE | spyneai.keka.com | SPYNE/24-25/228 | Partnership & Channel Sales Manager | Partnerships | 38d3f475-a55f-4648-b2b6-a8d14bef3627 |
| SPYNE | spyneai.keka.com | SPYNE/24-25/227 | Lead - Customer Success Manager | Customer Success | e6dada9b-9e7c-4464-a0b6-98f0068a95a0 |
| SPYNE | spyneai.keka.com | SPYNE/24-25/226 | Customer Success Manager | Customer Success | e6dada9b-9e7c-4464-a0b6-98f0068a95a0 |
| SPYNE | spyneai.keka.com | SPYNE/24-25/225 | Intern - Sales Developement Representative | GTM | 07485e29-b6d8-467c-bc62-876818adc6bf |
The run finished with the status message: NORMAL: 20 unique rows (0 duplicates collapsed). billable=20
✅ What you get
Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is null):
record_type(string) — e.g.keka_jobemployer(string/null) — e.g.Pennant Technologiestenant_host(string/null) — e.g.pennanttech.keka.comjob_id(string/integer/null) — e.g.39543job_number(string/null) — e.g.PT0063title(string/null) — e.g.Senior Manager, Presalesdepartment(string/null) — e.g.Sales & BDMdepartment_id(string/null) — e.g.f26ef5e7-681d-40fe-b15e-6e4612a5338bjob_type(string/null) — e.g.2experience(string/null) — e.g.8-15location(string/null) — e.g.Corporate Officecity(string/null) — e.g.Hyderabadstate(string/null) — e.g.TGcountry(string/null) — e.g.Indiasalary_range(string/null) — e.g.INR 0.00 - 0.00salary_min(string/null) — e.g.0.0salary_max(string/null) — e.g.0.0salary_currency(string/null) — e.g.INRskills(string/null) — null in every sample rowexcerpt(string/null) — e.g.Sr Manager, Presales Pennant is looking for highly experienced and seasoned Senidescription(string/null) — e.g.Sr Manager, Presales Pennant is looking for highly experienced and seasoned Senipublished_on(string/null) — e.g.2026-09-21T11:36:17.773Zpublished_since_days(string/null) — e.g.7job_url(string/null) — e.g.https://pennanttech.keka.com/careers/39543source(string/null) — e.g.keka-jobsrelease_date(string/null) — null in every sample rowsource_url(string/null) — e.g.https://pennanttech.keka.com/careers/observed_at(string/null) — e.g.2026-09-28T04:34:04Zattribution(string/integer/null) — e.g.Source: employer career portals powered by Keka Hire (public, logged-out /careerterminal(string/integer/null) — null in every sample rowreported_total(string/integer/null) — null in every sample rowraw_seen(string/integer/null) — null in every sample rowduplicates(string/integer/null) — null in every sample rowunique_found(string/integer/null) — null in every sample rowdelivered(string/integer/null) — null in every sample rowscope(string/integer/null) — null in every sample rownote(string/integer/null) — null in every sample rowlicense(string/integer/null) — null in every sample row
✅ What you get
record_type(string) — e.g.keka_jobemployer(string/null) — e.g.Pennant Technologiestenant_host(string/null) — e.g.pennanttech.keka.comjob_id(string/integer/null) — e.g.39543job_number(string/null) — e.g.PT0063title(string/null) — e.g.Senior Manager, Presalesdepartment(string/null) — e.g.Sales & BDMdepartment_id(string/null) — e.g.f26ef5e7-681d-40fe-b15e-6e4612a5338bjob_type(string/null) — e.g.2experience(string/null) — e.g.8-15location(string/null) — e.g.Corporate Officecity(string/null) — e.g.Hyderabadstate(string/null) — e.g.TGcountry(string/null) — e.g.Indiasalary_range(string/null) — e.g.INR 0.00 - 0.00salary_min(string/null) — e.g.0.0salary_max(string/null) — e.g.0.0salary_currency(string/null) — e.g.INRskills(string/null) — null in every sample rowexcerpt(string/null) — e.g.Sr Manager, Presales Pennant is looking for highly experienced and seasoned Senidescription(string/null) — e.g.Sr Manager, Presales Pennant is looking for highly experienced and seasoned Senipublished_on(string/null) — e.g.2026-09-21T11:36:17.773Zpublished_since_days(string/null) — e.g.2job_url(string/null) — e.g.https://pennanttech.keka.com/careers/39543source(string/null) — e.g.keka-jobsrelease_date(string/null) — null in every sample rowsource_url(string/null) — e.g.https://pennanttech.keka.com/careers/observed_at(string/null) — e.g.2026-09-23T16:12:40Zattribution(string/integer/null) — e.g.Source: employer career portals powered by Keka Hire (public, logged-out /careerterminal(string/integer/null) — null in every sample rowreported_total(string/integer/null) — null in every sample rowraw_seen(string/integer/null) — null in every sample rowduplicates(string/integer/null) — null in every sample rowunique_found(string/integer/null) — null in every sample rowdelivered(string/integer/null) — null in every sample rowscope(string/integer/null) — null in every sample rownote(string/integer/null) — null in every sample rowlicense(string/integer/null) — null in every sample row
✅ What you get
record_type(string) — e.g.keka_jobemployer(string/null) — e.g.Pennant Technologiestenant_host(string/null) — e.g.pennanttech.keka.comjob_id(string/integer/null) — e.g.39543job_number(string/null) — e.g.PT0063title(string/null) — e.g.Senior Manager, Presalesdepartment(string/null) — e.g.Sales & BDMdepartment_id(string/null) — e.g.f26ef5e7-681d-40fe-b15e-6e4612a5338bjob_type(string/null) — e.g.2experience(string/null) — e.g.8-15location(string/null) — e.g.Corporate Officecity(string/null) — e.g.Hyderabadstate(string/null) — e.g.TGcountry(string/null) — e.g.Indiasalary_range(string/null) — e.g.INR 0.00 - 0.00salary_min(string/null) — e.g.0.0salary_max(string/null) — e.g.0.0salary_currency(string/null) — e.g.INRskills(string/null) — null in every sample rowexcerpt(string/null) — e.g.Sr Manager, Presales Pennant is looking for highly experienced and seasoned Senidescription(string/null) — e.g.Sr Manager, Presales Pennant is looking for highly experienced and seasoned Senipublished_on(string/null) — e.g.2026-08-11T10:31:39.127Zpublished_since_days(string/null) — e.g.37job_url(string/null) — e.g.https://pennanttech.keka.com/careers/39543source(string/null) — e.g.keka-jobsrelease_date(string/null) — null in every sample rowsource_url(string/null) — e.g.https://pennanttech.keka.com/careers/observed_at(string/null) — e.g.2026-09-17T17:32:03Zattribution(string/integer/null) — e.g.Source: employer career portals powered by Keka Hire (public, logged-out /careerterminal(string/integer/null) — null in every sample rowreported_total(string/integer/null) — null in every sample rowraw_seen(string/integer/null) — null in every sample rowduplicates(string/integer/null) — null in every sample rowunique_found(string/integer/null) — null in every sample rowdelivered(string/integer/null) — null in every sample rowscope(string/integer/null) — null in every sample rownote(string/integer/null) — null in every sample rowlicense(string/integer/null) — null in every sample row
What you get
One job_record per active opening, deduplicated on tenant host + job id. A RUN_RECEIPT key-value record carries the tenants read, scope, attribution, and totals.
Every run also writes a RUN_RECEIPT record to its key-value store with the source checks it made and the counts it charged — diagnostics never land in the paid dataset.
⚙️ Sample inputs
1. Quick start — the Store example (this is what the sample above came from)
{"maxRecords": 10}
The sample run charged exactly: 1 × $0.02 apify-actor-start + 20 × $0.05 job_record = $1.02 on the Free tier — every delivered row was billed.
If you leave maxRecords out, the run delivers at most 20 rows (the schema default); pass a number up to 2000000 for a bigger export. An explicit value is always honoured up to that maximum.
2. A smaller, narrowed run
{"maxRecords": 5}
Caps the run at 5 rows — about $0.27 on the Free tier ($0.02 start + 5 × $0.05).
3. A full-size run
{"maxRecords": 5000}
Up to 5000 rows — about $250.02 on the Free tier ($0.02 start + 5000 × $0.05) if the source has that many; maxRecords goes up to 2000000.
4. A filtered run
{"maxRecords": 10,"fieldMatch": {"title": "Senior Manager, Presales"}}
Keeps only rows whose title contains Senior Manager, Presales (a value from the sample run above), matched case-insensitively after the source is read and before the maxRecords cap, so the cap counts matches and only delivered matches are billed. searchText does the same across every column. Zero matches end the run as EMPTY_SELECTION with no row charged — if the source has moved on since that sample run, pick a value you see in your own first run. The source is still read in full — this narrows what you receive and pay for, not what the source serves.
🧾 JSON sample record
One real record from run yvf9Qcj7AhKigscXh, exactly as it lands in the dataset (emails masked, long text shortened):
{"record_type": "keka_job","employer": "Pennant Technologies","tenant_host": "pennanttech.keka.com","job_id": "39543","job_number": "PT0063","title": "Senior Manager, Presales","department": "Sales & BDM","department_id": "f26ef5e7-681d-40fe-b15e-6e4612a5338b","job_type": "2","experience": "8-15","location": "Corporate Office","city": "Hyderabad","state": "TG","country": "India","salary_range": "INR 0.00 - 0.00","salary_min": "0.0","salary_max": "0.0","salary_currency": "INR","skills": null,"excerpt": "Sr Manager, Presales Pennant is looking for highly experienced and seasoned Senior Presales Manager to drive the presales function and to support the Sales and Business Development team from functional and solution perspective. As a senior ","description": "Sr Manager, Presales Pennant is looking for highly experienced and seasoned Senior Presales Manager to drive the presales function and to support the Sales and Business Development team from functional and solution perspective. As a senior ","published_on": "2026-09-21T11:36:17.773Z","published_since_days": "7","job_url": "https://pennanttech.keka.com/careers/39543","source": "keka-jobs","release_date": null,"source_url": "https://pennanttech.keka.com/careers/","observed_at": "2026-09-28T04:34:04Z","attribution": "Source: employer career portals powered by Keka Hire (public, logged-out /careers/ listings)."}
🔧 How it works
Transport. Plain HTTPS from the Apify platform, no proxy. robots.txt is read first and a disallowed path is never fetched. Every request carries an identified contact User-Agent. Pacing: CRAWL_DELAY=0.0.
Charging. Each job record is charged at the moment it is pushed (job_record); a row that fails to charge is not delivered, so the dataset count always equals the charged count.
How it behaves
For each tenant, the company identity (/careers/api/organization/{portal}/careerportalinfo) and the active openings (/careers/api/jobs/{portal}/active) are fetched keyless and logged-out under the robots-permitted /careers/ path. Zero-auth only: if any tenant's door returns an auth challenge (401/403), a login/HTML body instead of JSON, or a token wall, the run STOPS loudly for that tenant with no workaround. A title-bearing canary rejects a drifted feed. Delivery is bounded to maxRecords.
Source
https://{tenant}.keka.com/careers/api/jobs/{portal}/active (robots: Disallow /, Allow /careers/)
Attribution
Source: employer career portals powered by Keka Hire (public, logged-out /careers/ listings).
What is not done. No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.
💰 Pricing example
| Event | Free | Bronze | Silver | Gold |
|---|---|---|---|---|
Actor Start (apify-actor-start) | $0.02 | $0.02 | $0.02 | $0.02 |
Job record (job_record) | $0.05 | $0.045 | $0.04 | $0.0335 |
Worked at the live Free-tier price:
- 8 job records: $0.02 start + 8 × $0.05 = $0.42
- 20 job records: $0.02 start + 20 × $0.05 = $1.02
- 25 job records: $0.02 start + 25 × $0.05 = $1.27
A run that delivers zero rows charges the $0.02 start fee only. A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 1024 MB.
Yield on the sample run: NORMAL: 20 unique rows (0 duplicates collapsed). billable=20. maxRecords is a hard ceiling on what is delivered and billed, never a target.
⚖️ Legal & ToS
This actor reads public data only. It collects only what the source publishes to any visitor, keeps to the source's robots rules (checked on every run), identifies itself with a contact User-Agent, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.
❓ FAQ
Q: Do I need an API key or a login?
A: No. the input schema has no key field and the actor carries no secrets.
Q: Why did my run return 0 rows?
A: Read the run's status message. GENUINE_EMPTY means the source was read and had nothing in scope for your input; BLOCKED means the source refused and the run failed without billing a value event — retry later or narrow the input. A zero-row run bills the start fee only.
Q: How many rows can one run return?
A: Up to maxRecords (default 20). Raise the cap for a bigger run; you pay per delivered row.
Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs. Put it on a schedule for a continuous feed.
Q: What formats can I export?
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.
Q: How is this different from the other ATS job board scrapers actors?
A: Same output shape and billing model; this one covers Keka Careers Jobs Exporter. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.
Q: Are there rate limits?
A: The actor paces itself against the source (CRAWL_DELAY=0.0) and honours its robots rules; there is no per-buyer limit beyond your Apify plan's concurrency.
🆘 Troubleshooting
- Run FAILED with BLOCKED → the source refused the request or changed its page shape → nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
- Status says CAPPED → your cap (
maxRecords) was reached → raise it for a bigger run. - Input validation error on start → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
- Run TIMED-OUT → a very wide request on a slow day → raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.
🔗 Related Actors
- HireBridge Jobs Scraper — One structured jobrecord per LIVE job posting from a public, logged-out ATS board. Public, robots-honoured
- JazzHR Jobs Scraper - Any Employer Board — Scrape job postings from any JazzHR careers board: title, location, department, posting date and apply link. One record per result. Pay per result
- Jobvite Jobs Scraper - Any Employer Board — Scrape job postings from any Jobvite careers board: title, location, department, posting date and apply link. One record per result. Pay per result
- LinkedIn Job Postings API — Public Hiring Data — Query public LinkedIn job postings by role, location, employment type, and posting age. Receive normalized records through an Apify dataset or API. P…
- Manatal Jobs Scraper - Any careers-page.com Board — Scrape job postings from any Manatal careers-page.com board: title, location, department, posting date and apply link. One record per result. Pay per…
- Oracle Recruiting Jobs Exporter — One structured job record per open requisition across Oracle Recruiting Cloud career sites, read from the keyless candidate-experience contract — tit…
- 🏢 About NexGen Watch — NexGen Watch is a catalog of more than 300 public data actors built on official sources, pay-per-result. Browse the catalog at apify.com/nexgenwatch.
⭐ Found this useful?
If this actor saved you a manual check, a quick review on the Apify Store helps other teams find it. Feature request or a source that changed? Open it from the Issues tab — every one is read.
