Tesla hiring-trend tracking
Mit Tesla Jobs-Endpunkten verwandelst du tesla hiring-trend tracking in wiederholbare API-Requests mit dokumentierten Inputs und JSON-Antworten.
Search Tesla's own careers site (tesla.com/careers) — by title, department, or location — and get a single posting by id, as structured JSON. No login, no brittle DOM scraping.
Search Tesla's own careers site (tesla.com/careers) by title, department, or location and get one posting by id, as structured JSON.
Endpunkt-Familien
2
Dokumentierte Parameter
7
Beispiele
2
Live-Katalog-Snapshot
Aktive Endpunkte
2
Methoden
GET
Pflichtparameter
3
Schema-Referenzen
2
{
"platform": "Tesla Jobs",
"endpoint": "tesla-jobs-list",
"method": "GET",
"path": "/tesla-jobs/list",
"auth": "apiKey"
}Use Cases
Search Tesla's own careers site (tesla.com/careers) by title, department, or location and get one posting by id, as structured JSON.
Mit Tesla Jobs-Endpunkten verwandelst du tesla hiring-trend tracking in wiederholbare API-Requests mit dokumentierten Inputs und JSON-Antworten.
Mit Tesla Jobs-Endpunkten verwandelst du job posting aggregation and monitoring in wiederholbare API-Requests mit dokumentierten Inputs und JSON-Antworten.
Mit Tesla Jobs-Endpunkten verwandelst du recruiting and talent-market research in wiederholbare API-Requests mit dokumentierten Inputs und JSON-Antworten.
Managed Execution
Jede Zahl unten stammt direkt aus dem Live-Tesla Jobs-Endpunktkatalog — 2 Endpunkte, 7 dokumentierte Request-Parameter und 2 veröffentlichte Response-Schemas — demselben Katalog, gegen den auch Docs und Playground laufen.
2 documented Tesla Jobs endpoints, grouped into 2 request families — Job and List.
7 request parameters are documented across those Tesla Jobs endpoints, 3 of them required — the full input contract is public before you write any integration code.
2 of the 2 Tesla Jobs endpoints ship a recorded example response, and 2 carry a documented response schema — you can code against the real JSON before the first request.
Tesla Jobs endpoints document their error responses (400, 404, 429 and 503) alongside the success schema, so a block, a rate limit, or a missing record comes back as a typed error rather than silently empty data.
2 hosted MCP tools back the Tesla Jobs endpoints, so an agent can call the same routes with the same parameters and the same JSON contract, with no custom glue.
Abdeckungskarte
Diese Karten werden aus dem aktiven Endpunktkatalog generiert, damit die Landingpage dieselbe API-Oberfläche widerspiegelt, die auch Docs und Playground nutzen.
/tesla-jobs/job
/tesla-jobs/list
Endpunktkatalog
/tesla-jobs/listSearches Tesla's public careers site (tesla.com/careers) via its own careers-state JSON endpoint. Tesla's own endpoint always returns its entire global job dataset regardless of query parameters; this filters and paginates that snapshot server-side. Listings carry identity/department/location metadata only — call the job endpoint for the full description, responsibilities, and requirements.
Hinweise zur Response
- Tesla sits behind Akamai Bot Manager, so this endpoint renders through a stealth browser backend rather than a plain HTTP client. First requests after a cold start can take noticeably longer while a session warms up; results are cached briefly afterward. - A valid query/location combination with no matches returns `total: 0` and an empty `jobs` array (not an error). Example response: ```json { "code": 200, "msg": "OK", "data": { "query": "software engineer", "location": "Palo Alto", "page": 1, "page_size": 20, "total": 112, "jobs": [ { "id": "221961", "title": "Software Engineer, Generalist, AI Inference", "department": "Tesla AI", "location": "Palo Alto, California" } ] } } ```
MCP-Tool tesla_jobs_list
/tesla-jobs/jobReturns one Tesla Careers posting by its numeric job id (the `id` field returned by the list endpoint). Parsed from tesla.com's own job detail JSON endpoint.
Hinweise zur Response
- An unknown or no-longer-listed job id returns `404`. - Tesla sits behind bot protection, so this endpoint renders through a browser backend rather than a plain HTTP client. A posting that has not been read recently can take noticeably longer on its first request; once fetched it is served from cache on subsequent reads. - If that first fetch runs longer than the request budget, the endpoint returns `503` with a `Retry-After` header rather than holding the connection open until your client times out. The fetch continues in the background, so a retry after the advertised delay normally returns `200` straight away. Treat this `503` as "ask again shortly", not as a failure. Example response: ```json { "code": 200, "msg": "OK", "data": { "id": "224501", "title": "AI Engineer, Manipulation, Optimus", "department": "Tesla AI", "job_family": "AI", "location": "Palo Alto, California", "state": "CA", "country": "US", "employment_type": "Full-time", "description": "Tesla AI is solving robust embodied intelligence through humanoid robots...", "responsibilities": "Design and develop our learned robotic manipulation software stack and algorithms...", "requirements": "Production quality modern C++ or Python...", "url": "/careers/search/job/ai-engineer-manipulation-optimus-224501" } } ```
MCP-Tool tesla_jobs_job
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Verwandtes Dataset
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Tesla's open postings are also queryable in bulk alongside 18 other providers — filter by department, location, employment type, or remote flag over one REST call.
Dataset erkunden →So scrapst du Tesla Jobs
Crawlora's Tesla Jobs endpoints read tesla.com/careers, which publishes its whole global job list as a single dataset. The listing endpoint filters and paginates that snapshot server-side. On 2026-09-18, 2,764 postings matched engineer. Listing rows are deliberately thin: id, title, department, and location. The full job, including compensation text and Tesla's Avature apply link, comes from /tesla-jobs/job.
/tesla-jobs/list takes query (matched against title or department), location, page, and page_size up to 100. Both filters are case-insensitive substring matches, so location=texas matches every Texas site.
department values are Tesla's own, such as Tesla AI, Engineering & Information Technology, Manufacturing, Energy Engineering, and Energy - Solar & Storage. For engineer, Tesla AI roles for Optimus clustered in Palo Alto, with factory roles in Brookshire, Texas and Grünheide, Germany.
/tesla-jobs/job adds job_family, state, country, employment_type, description, responsibilities, requirements, compensation_text, and an apply_url on tesla.avature.net, which is Tesla's application system.
Tesla sits behind Akamai, so the first request after a cold start renders through a browser and can take noticeably longer. Results are then cached briefly.
FAQ
The job endpoint returns Tesla's compensation_text for each posting. Listing rows don't include it, so fetch /tesla-jobs/job for roles where pay matters.
Both query (title/department) and location are case-insensitive substring matches, not exact or faceted filters.