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.

Ver código-fonte

Como usar

  1. Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
  2. Consulte no original as ferramentas, credenciais e ambientes necessários.
  3. Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/crawlora-org/crawlora-skills --skill tesla-jobs-research

Antes de começar

  • A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
  • Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill

Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.

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.

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