crawlora-org/crawlora-skills

tesla-jobs-research

Researches Tesla job postings via the Crawlora API — search Tesla's careers site (tesla.com/careers) by title, department, or location, and pull a single posting's full description by id — returning clean JSON.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/crawlora-org/crawlora-skills --skill tesla-jobs-research

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Tesla Jobs search

Search Tesla's public careers site and pull full posting detail — all as normalized JSON from the Crawlora API, no scraping tesla.com/careers by hand.

When to use this skill

  • "Search for <role> jobs at Tesla." / "What is Tesla hiring for in <location>?"
  • "Show me all Tesla openings in the <department> department."
  • "Get the full description/requirements for Tesla job id <id>."
  • "Is Tesla scaling up hiring in <location>?" — page through the listing.

Setup (one-time)

  • Get a free Crawlora API key (2,000 credits/mo, no card) at https://crawlora.net.
  • Set CRAWLORA_API_KEY in the environment before running the helper.
  • The helper reads CRAWLORA_API_KEY from the environment and sends requests to https://api.crawlora.net/api/v1. Missing/invalid key → 401.

How it works

  1. List postings — /tesla-jobs/list searches Tesla's careers-state JSON

snapshot. Filter with query (title/department substring) and/or location (substring), and page through results with page and page_size. Tesla's own upstream endpoint always returns its entire global job dataset regardless of query — this endpoint filters and paginates that snapshot server-side, so listings carry identity/ department/location metadata only (no full description yet).

  1. Job detail — take the numeric id field from a list result and pass

it to /tesla-jobs/job to get the full posting: description, responsibilities, and requirements.

Full endpoint list, methods, and params: `reference/endpoints.md`.

Calling the API

sh
# Search Tesla openings by title/department and location:
scripts/crawlora.sh /tesla-jobs/list query="software engineer" location="Austin" | jq '.'

# Pull the full detail for one posting (id from the list response):
scripts/crawlora.sh /tesla-jobs/job id=204536 | jq '.'

Use scripts/crawlora.sh for all requests; it keeps the API key out of command-line arguments.

Endpoint reference

See `reference/endpoints.md` for both Tesla Jobs endpoints this skill uses.

Examples

  • "What is Tesla hiring for in Berlin?" — /tesla-jobs/list

location="Berlin", then /tesla-jobs/job on the ids of interest for full requirements.

  • "Show me every Tesla data engineering role." — /tesla-jobs/list

query="data engineer", walking page/page_size until the response is short of a full page.

Notes & limits

  • Credits / pay-on-success: billed only on 2xx; free tier 2,000 credits/mo.

Key at https://crawlora.net.

  • Public data only — public postings; respect Tesla's terms.
  • Security: key lives in CRAWLORA_API_KEY only — never hardcode, query-param, or commit it.
  • `query`/`location` are substring filters, not full-text/geo search — a

narrow term (e.g. a city abbreviation) may miss postings; try broader substrings if a search returns nothing.

  • List results are metadata-only — always follow up with /tesla-jobs/job

for the full description, responsibilities, and requirements.

  • Results are paginated — pass page (and optionally page_size, up to 100)

to walk the full list.

Verwandte Aufgaben

aus demselben Repository

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