Walmart コロンバスでWarehouse Supervisorの求人を掲載した · 2 日前
Amazon デイトンでWarehouse Supervisorの求人を掲載した · 5 日前
Hyundai アラバマでWarehouse Supervisorの求人を終了した · 1 日前
How evidence for employment and earnings cases works
TheirStack gives legal analytics products job postings back to 2021, with their pay, wording and dates, so a report can show which jobs were open for a role during the period a case covers.
Role
Search the role in the case
TheirStack searches its job history by title, seniority and place, over the period the case covers.
- Postings back to 2021
- Filter by title and seniority
- Filter by place and period
WalmartWarehouse Supervisor · Apr 2024AmazonWarehouse Supervisor · Jun 2024HyundaiWarehouse Supervisor · Sep 2024Compare
Read the pay, wording and dates of each job
TheirStack gives each posting its pay when stated, its full description and its dates, so your product compares the jobs with the role or reads the wording a claim is about.
- Pay when the posting states it
- Full description of every job
- City and region of every job
Comparable jobs posted per month
- Apr 202438
- Jun 202442
- Aug 202435
- Oct 202447
- Dec 202429
Evidence
Cite every posting in the report
TheirStack records where each job was found, when it was discovered and, in its closed jobs dataset, when it went offline, so every posting in the report can be checked.
- Job Closed Dataset
- How jobs are collected
- The employer's own posting URL
Evidence in the report
WalmartWarehouse Supervisor, posted Jul 2026Closed Sep 2026AmazonWarehouse Supervisor, posted Aug 2026Closed Oct 2026HyundaiWarehouse Supervisor, posted Sep 2024Not seen closed活用方法を学ぶ
- ドキュメント
Datasets
Access complete jobs, closed jobs, technographics, and company datasets — delivered as Parquet or CSV, with historical coverage and daily or hourly updates via S3.
- ドキュメント
Job Closed Dataset
Expired job postings dataset — same schema as the Jobs dataset with closed_at always populated, partitioned by the day each posting went offline. Use it for historical close-date analysis, CRM enrichment, or warehouse pipelines.
- ドキュメント
Data workflow
Learn how we transform raw job postings into high-quality, normalized data through our 6-step workflow covering crawling, cleaning, extraction, deduplication, enrichment, and quality control
求人情報データで雇用・収益案件の証拠を強化：AIアシスタント、自動化、CRMとの連携
TheirStackは、すでにご利用中のAIアシスタント、自動化ツール、CRMと連携します。MCPサーバー経由でClaudeやChatGPTに問い合わせたり、Webhookで新しい一致をClay、n8n、Make、Zapierに送信したり、SalesforceやHubSpotにリードを作成したりできます。
AIアシスタント
Claude、ChatGPT、Cursor、または任意のMCPクライアントに、TheirStackのMCPサーバー経由で求人情報、企業、テックスタックを検索させることができます。
MCPサーバー
https://api.theirstack.com/mcp自動化
TheirStackは、条件に一致する新しい企業を見つけ次第、Webhookで自動化プラットフォームへ送信し、そこからCRMや営業ツールへ連携します。
このユースケースを自分のコードから実行する
curl -X POST https://api.theirstack.com/v1/jobs/search \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "job_title_or": ["Warehouse Supervisor"], "job_country_code_or": ["US"], "posted_at_max_age_days": 730 }'
Claude
ChatGPT
Cursor
VS Code
Windsurf
Cline
OpenCode
Gemini
Hermes
OpenClaw
Clay
n8n
Make
Zapier
Databar
Salesforce
HubSpot
Attio
Pipedrive
Apollo
Instantly
ContactOut