> ## Documentation Index > Fetch the complete documentation index at: https://mindcase.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Indeed Jobs > Extract Indeed job listings by title and limit, providing job title, company name, location, and URL `$0.06 / 1k jobs` Extract Indeed job listings by title and limit, providing job title, company name, location, and URL ## Endpoint `POST /api/v1/agents/indeed/jobs/run` ## Parameters **Text** · Job title or search keywords (e.g. "product manager"). **Text** · City, state, or "remote". **Dropdown** · Country to search Indeed in. [View all 62 options →](/agents/indeed/jobs/values#country) **Number** · Max job listings to return. Use 0 for all. **Dropdown** · Only show recent jobs. **Options:** `1`, `3`, `7`, `14` *Legend: `1` = Last 24 hours, `3` = Last 3 days, `7` = Last 7 days, `14` = Last 14 days* ## Response columns | Field | Display name | Type | | -------------------------- | -------------------------- | -------- | | `indeedUrl` | Indeed URL | url | | `directApplyUrl` | Direct Apply URL | url | | `jobTitle` | Job Title | text | | `company` | Company | text | | `companyUrl` | Company URL | url | | `city` | City | text | | `country` | Country | text | | `countryCode` | Country Code | text | | `salaryMin` | Salary Min | currency | | `salaryMax` | Salary Max | currency | | `currency` | Currency | text | | `payPeriod` | Pay Period | text | | `description` | Description | text | | `posted` | Posted | text | | `listedOnIndeed` | Listed On Indeed | text | | `expired` | Expired | boolean | | `urgent` | Urgent | boolean | | `highVolume` | High Volume | boolean | | `placement` | Placement | boolean | | `language` | Language | text | | `employerAddress` | Employer Address | text | | `employerBriefDescription` | Employer Brief Description | text | | `employerCeoName` | Employer CEO Name | text | | `employerCeoPhotoUrl` | Employer CEO Photo URL | url | | `employerCorporateWebsite` | Employer Corporate Website | url | | `employerEmployeesCount` | Employer Employees Count | text | | `employerHeaderImageUrl` | Employer Header Image URL | url | | `employerLogoUrl` | Employer Logo URL | url | | `employerRatingsCount` | Employer Ratings Count | integer | | `employerRatingsValue` | Employer Ratings Value | number | | `employerRevenue` | Employer Revenue | text | | `locationLatitude` | Location Latitude | number | | `locationLongitude` | Location Longitude | number | | `locationPostalCode` | Location Postal Code | text | | `socialInsuranceEy33q` | Social Insurance Ey33q | text | ## Example ```bash curl theme={null} curl -X POST https://api.mindcase.co/api/v1/agents/indeed/jobs/run \ -H "Authorization: Bearer mk_live_abc123def456" \ -H "Content-Type: application/json" \ -d '{ "params": { "title": "software engineer", "location": "New York, NY", "country": "us", "maxResults": 10 } }' ``` ```python Python theme={null} import requests resp = requests.post( "https://api.mindcase.co/api/v1/agents/indeed/jobs/run", headers={"Authorization": "Bearer mk_live_abc123def456"}, json={"params": { "title": "software engineer", "location": "New York, NY", "country": "us", "maxResults": 10 }}, ) data = resp.json() ``` ### Example response ```json Response theme={null} { "job_id": "job_7f3a2b1c", "status": "completed", "data": [ { "indeedUrl": "https://www.indeed.com/viewjob?jk=2cbbdd2de66a077a", "directApplyUrl": "https://jobs.ashbyhq.com/harvey/2bd5b22c-d873-45da-a6d3-89944edb701c", "jobTitle": "Software Engineer, Agents", "company": "HARVEY", "companyUrl": "https://www.indeed.com/cmp/Harvey", "city": "New York", "country": "United States", "countryCode": "US", "salaryMin": 161300, "salaryMax": 241900, "currency": "USD", "payPeriod": "YEAR", "description": "Location\n\nNew York\n\nEmployment Type\n\nFull time\n\nLocation Type\n\nHybrid\n\nDepartment\n\nEngineering\n\nCompensation\n$161.3K \u2013 $241.9K \u2022 Offers Equity \u2022 Offers Bonus\n\nAdditionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.\nWhy Harvey\n\nAt Harvey, we\u2019re transforming how legal and professional services operate \u2014 not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we\u2019re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we\u2019re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth \u2014 personal, professional, and financial \u2014 is unmatched.\n\nOur team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle \u2014 from early thinking to long-term outcomes. We stay close to our customers \u2014 from leadership to engineers \u2014 and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.\n\nAt Harvey, the future of professional services is being written today \u2014 and we\u2019re just getting started.\n\nRole Overview\n\nAs a Software Engineer, Agents, you'll build the systems that make our AI agents indispensable to legal professionals.\n\nYou will design environments and actions for agentic professional work, make model selection decisions, manage context windows, create optimal tools, and develop evals that enable faster iteration loops to unlock new capabilities.\n\nWe're looking for engineers and researchers who are immersed in the space, driven to ship impactful products, and are experienced in using practical evaluations to drive task completion quality and customer delight.\n\nRepresentative Projects\n\nSave weeks of effort on high pressure M&A deals by automating information requests and diligence checks across hundreds of thousands of files with retrieval and file editing agents.\n\nDramatically speed up deal turnaround speed by improving the latency and quality of agents on applying a standard legal \"playbook\" to contracts.\n\nEnsure that our clients win their complex, data-hungry litigation cases by optimizing our multi-source retrieval agents.\n\nEnable board-ready PowerPoint generation by tuning the harness and libraries for coding agents.\n\nWhat You'll Do\n\nPartner with customers and PMs to understand legal workflows, design practical evaluations that capture what \u201cexcellent\u201d means, and ship agents that get the job done.\n\nOptimize agent performance through prompt engineering, model selection, tool design, skill writing, context window management, and eval harness development.\n\nWork with our model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, or subagent patterns.\n\nImprove our observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions.\n\nStay current on new developments in agentic systems and bring those learnings back to the products we build.\n\nWhat You Have\n\nPassion for building effective domain-specific agents.\n\nIterative mindset: you develop proof of concepts, make decisions quickly, and ship v0s.\n\nComfortable with when and how to use evaluations to drive quality.\n\nHumble and adaptable about code and frameworks. We expect you to drive adoption of new best practices as they develop.\n\n2-5 years (post-BS/MS) of software engineering experience.\n\nWe are hiring for this role across Mid, Senior, and Staff levels.\n\nProficiency in Python and experience working with LLM APIs and agent frameworks.\n\nExperience with shipping user-facing products, either on the backend or full-stack.\n\nCompensation Range\n\n$161,300 - $241,900 USD\n\nDepending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].\n\n#LI-BB1\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai", "posted": "2026-05-01T05:00:00.000Z", "listedOnIndeed": "2026-05-01T20:58:07.984Z", "expired": false, "urgent": false, "highVolume": false, "placement": null, "language": "en", "employerAddress": null, "employerBriefDescription": null, "employerCeoName": null, "employerCeoPhotoUrl": null, "employerCorporateWebsite": null, "employerEmployeesCount": null, "employerHeaderImageUrl": null, "employerLogoUrl": null, "employerRatingsCount": 30, "employerRatingsValue": 3.8, "employerRevenue": null, "locationLatitude": 40.71427, "locationLongitude": -74.00597, "locationPostalCode": null, "socialInsuranceEy33q": "Health insurance" } ] } ```