Walmart 在哥伦布发布了一个仓库主管职位 · 2天前
Amazon 在代顿发布了一个仓库主管职位 · 5天前
Hyundai 在阿拉巴马州关闭了一个仓库主管职位 · 1天前
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了解如何
- 文档
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.
- 文档
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.
- 文档
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
用职位数据增强就业和收入案件证据：与 AI 助手、自动化工具和 CRM 的集成
TheirStack 可与您已在使用的 AI 助手、自动化工具和 CRM 协同工作：通过 MCP 服务器让 Claude 或 ChatGPT 发起查询，通过 webhook 将新匹配结果发送到 Clay、n8n、Make 或 Zapier，并在 Salesforce 或 HubSpot 中创建潜在客户。
AI 助手
让 Claude、ChatGPT、Cursor 或任何 MCP 客户端通过 TheirStack MCP 服务器搜索职位、公司和技术栈。
MCP 服务器
https://api.theirstack.com/mcp自动化
TheirStack 会在发现每一家新匹配公司后，立即通过 webhook 将其发送到您的自动化平台，或经由该平台同步到您的 CRM 和销售工具。
通过您自己的代码运行此使用场景
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