Greylock Jobs Search Scraper: Capture Startup Opportunities at Scale

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What Is Greylock.com?

Greylock Partners is a prestigious venture capital firm in Silicon Valley that backs early-stage and growth-stage startups across diverse industries. Greylock.com/jobs is the official job board featuring openings from Greylock-backed portfolio companies and their ecosystem. These roles often represent high-growth startups offering competitive compensation, equity, and career acceleration. Manually tracking opportunities across this specialized platform is inefficient — the Greylock Jobs Search Scraper automates data collection from search results pages, delivering structured startup job data instantly.

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Overview

The Greylock Jobs Search Scraper extracts job listings from Greylock's job search interface, converting search result pages into comprehensive, machine-readable records. It is ideal for:

• Job aggregators indexing startup opportunities across multiple platforms
• Talent researchers analyzing compensation and hiring trends in VC-backed startups
• Recruiters monitoring competitor hiring in the Greylock ecosystem
• Data analysts building datasets on venture-backed employment
• Career platforms enriching job databases with Greylock portfolio company data

The scraper handles multiple URLs, gracefully skips failed pages, and returns over 30 fields of structured data per job listing.

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Input Format

The scraper accepts a JSON configuration object with three main parameters:

{
  "urls": [
    "https://jobs.greylock.com/jobs"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 20
}

Input Parameters

Parameter	Type	Description	Example
urls	Array	List of Greylock job search page URLs to scrape	["https://jobs.greylock.com/jobs"]
ignore_url_failures	Boolean	If true, continues scraping even if some URLs fail; if false, stops on error	true
max_items_per_url	Integer	Maximum number of job listings extracted per URL	20

Notes:

• The urls field accepts Greylock.com job search results pages (filter pages, category pages, or the main jobs page)
• max_items_per_url controls pagination depth and dataset size; set higher values for comprehensive scrapes
• ignore_url_failures prevents job interruptions when a page is temporarily unavailable or structure changes

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Output Format

Example Output Record

{
  "apply_url": "https://jobs.lever.co/lyrahealth/3b0c93ff-0de2-4037-bff7-08c86f9b6de8?lever-source%5B%5D=jobs.greylock.com",
  "company_domain": "lyrahealth.com",
  "company_logos": {
    "manual": {
      "height": 160,
      "src": "https://dzh2zima160vx.cloudfront.net/logo/143cd3a237462e2e7a2ccd47b2d73fac_96_160?Expires=1861920000&Signature=NN4EpXx0uHmRsAc6GKWU1E0aaw8tKG4yCj2QYcyRkjmu-TasPWWqFMezEMDMrvS9g~m1YutUpDH0UcML0wCCTj3bVgH9iuqZ-1KjAANo2QJ4OI4O4jJKEXVeKkppGoaNCOAk6kuo8hNLQaoUNdseOttFqi8MHw5q3vuVxm27cyWV5IYmKpi5bCPmxgaJWu7Kz8UbFINdf8wxcPQbQaDaLhrif1d7GGdyR~aKQgz6kk68bZ2~SZy7jHQnFA3~LEL~PtuLIfFqzt7oJbN~ufj5iXEiYV0hTzLly0RvgZjMTfp6pTEeyvx7c9JDYKGH5nzcIE9~hss7j3HpVdaOlTP33Q__&Key-Pair-Id=APKAII5OVX4LZ3WT422Q",
      "width": 96
    },
    "linkedin": {
      "height": 100,
      "src": "https://dzh2zima160vx.cloudfront.net/profile/b2134316cf72a2d0a965cba0f1b0bde3_100_100?Expires=1893456000&Signature=J3YGpYyjOXDotOzY153DMZU~~x6tmlg8NUvODuQ4By3c-6KKbeatQRGgGNF0TxdlXFZJiTSvM8RLetjnXR0~tsdMz~RHyDUEnsYgGA4AIDBiVipkf19dMbUZRaa8e9PLUaQsakmgjCQLlpY2wXAvq8Y6x7sKMbUUqi02ccrP9BwVVyjBXH2jA-yvJIgCztA-IUmih62EIS-UyrHCCiNQiHTUIZrkx8ogYOQpDrkjLBdusi2xlLuGzsETqoa3-Q3uxWiY2gluYIs1ckWtZVX~WNjwKtUFhmDCxTNvpitE9MY0o9nZiO8WKtsigAm2CBVa4UPEWTMtvRwEneFF9hDO7A__&Key-Pair-Id=APKAII5OVX4LZ3WT422Q",
      "width": 100
    }
  },
  "company_id": "Lyra Health",
  "company_slug": "lyra-health",
  "company_name": "Lyra Health",
  "company_staff_count": 2800,
  "consider_hosted": false,
  "departments": [
    "Provider Network Ops"
  ],
  "job_types": [
    {
      "id": "lead",
      "label": "Lead",
      "value": "lead"
    }
  ],
  "job_functions": [],
  "locations": [
    "United States"
  ],
  "normalized_locations": [
    {
      "id": "United States",
      "label": "United States",
      "value": "United States"
    }
  ],
  "salary": {
    "period": {
      "label": "Year",
      "value": "year"
    },
    "min_value": 95000,
    "max_value": 145500,
    "currency": {
      "label": "USD",
      "value": "USD"
    },
    "is_original": true
  },
  "skills": [
    {
      "id": "resume:Artificial Intelligence",
      "label": "Artificial Intelligence",
      "value": "resume:Artificial Intelligence"
    },
    {
      "id": "resume:Project Management",
      "label": "Project Management",
      "value": "resume:Project Management"
    },
    {
      "id": "resume:Customer Engagement",
      "label": "Customer Engagement",
      "value": "resume:Customer Engagement"
    },
    {
      "id": "resume:Software Project Management",
      "label": "Software Project Management",
      "value": "resume:Software Project Management"
    },
    {
      "id": "resume:Analytics Tools",
      "label": "Analytics Tools",
      "value": "resume:Analytics Tools"
    },
    {
      "id": "resume:Salesforce",
      "label": "Salesforce",
      "value": "resume:Salesforce"
    },
    {
      "id": "resume:Client Relations",
      "label": "Client Relations",
      "value": "resume:Client Relations"
    },
    {
      "id": "resume:Customer Satisfaction",
      "label": "Customer Satisfaction",
      "value": "resume:Customer Satisfaction"
    },
    {
      "id": "resume:Customer Management",
      "label": "Customer Management",
      "value": "resume:Customer Management"
    },
    {
      "id": "resume:Customer Onboarding",
      "label": "Customer Onboarding",
      "value": "resume:Customer Onboarding"
    },
    {
      "id": "resume:Automation",
      "label": "Automation",
      "value": "resume:Automation"
    },
    {
      "id": "resume:Scalability",
      "label": "Scalability",
      "value": "resume:Scalability"
    },
    {
      "id": "resume:Privacy",
      "label": "Privacy",
      "value": "resume:Privacy"
    },
    {
      "id": "resume:Escalation",
      "label": "Escalation",
      "value": "resume:Escalation"
    },
    {
      "id": "resume:Behavioral Health",
      "label": "Behavioral Health",
      "value": "resume:Behavioral Health"
    },
    {
      "id": "resume:Data Privacy",
      "label": "Data Privacy",
      "value": "resume:Data Privacy"
    },
    {
      "id": "resume:Interviewing",
      "label": "Interviewing",
      "value": "resume:Interviewing"
    },
    {
      "id": "resume:Data Driven",
      "label": "Data Driven",
      "value": "resume:Data Driven"
    },
    {
      "id": "resume:Operational Excellence",
      "label": "Operational Excellence",
      "value": "resume:Operational Excellence"
    },
    {
      "id": "resume:GDPR",
      "label": "GDPR",
      "value": "resume:GDPR"
    },
    {
      "id": "resume:Analytical Skills",
      "label": "Analytical Skills",
      "value": "resume:Analytical Skills"
    },
    {
      "id": "resume:Scheduling",
      "label": "Scheduling",
      "value": "resume:Scheduling"
    },
    {
      "id": "resume:Efficacy Studies",
      "label": "Efficacy Studies",
      "value": "resume:Efficacy Studies"
    },
    {
      "id": "resume:Outpatient",
      "label": "Outpatient",
      "value": "resume:Outpatient"
    },
    {
      "id": "resume:Jira",
      "label": "Jira",
      "value": "resume:Jira"
    },
    {
      "id": "resume:Account Management",
      "label": "Account Management",
      "value": "resume:Account Management"
    },
    {
      "id": "resume:Zendesk",
      "label": "Zendesk",
      "value": "resume:Zendesk"
    }
  ],
  "required_skills": [
    {
      "id": "resume:Artificial Intelligence",
      "label": "Artificial Intelligence",
      "value": "resume:Artificial Intelligence"
    },
    {
      "id": "resume:Project Management",
      "label": "Project Management",
      "value": "resume:Project Management"
    },
    {
      "id": "resume:Customer Engagement",
      "label": "Customer Engagement",
      "value": "resume:Customer Engagement"
    }
  ],
  "preferred_skills": [
    {
      "id": "resume:Software Project Management",
      "label": "Software Project Management",
      "value": "resume:Software Project Management"
    },
    {
      "id": "resume:Analytics Tools",
      "label": "Analytics Tools",
      "value": "resume:Analytics Tools"
    },
    {
      "id": "resume:Salesforce",
      "label": "Salesforce",
      "value": "resume:Salesforce"
    },
    {
      "id": "resume:Client Relations",
      "label": "Client Relations",
      "value": "resume:Client Relations"
    },
    {
      "id": "resume:Customer Satisfaction",
      "label": "Customer Satisfaction",
      "value": "resume:Customer Satisfaction"
    },
    {
      "id": "resume:Customer Management",
      "label": "Customer Management",
      "value": "resume:Customer Management"
    },
    {
      "id": "resume:Customer Onboarding",
      "label": "Customer Onboarding",
      "value": "resume:Customer Onboarding"
    },
    {
      "id": "resume:Automation",
      "label": "Automation",
      "value": "resume:Automation"
    },
    {
      "id": "resume:Scalability",
      "label": "Scalability",
      "value": "resume:Scalability"
    },
    {
      "id": "resume:Privacy",
      "label": "Privacy",
      "value": "resume:Privacy"
    },
    {
      "id": "resume:Escalation",
      "label": "Escalation",
      "value": "resume:Escalation"
    },
    {
      "id": "resume:Behavioral Health",
      "label": "Behavioral Health",
      "value": "resume:Behavioral Health"
    },
    {
      "id": "resume:Data Privacy",
      "label": "Data Privacy",
      "value": "resume:Data Privacy"
    },
    {
      "id": "resume:Interviewing",
      "label": "Interviewing",
      "value": "resume:Interviewing"
    },
    {
      "id": "resume:Data Driven",
      "label": "Data Driven",
      "value": "resume:Data Driven"
    },
    {
      "id": "resume:Operational Excellence",
      "label": "Operational Excellence",
      "value": "resume:Operational Excellence"
    },
    {
      "id": "resume:GDPR",
      "label": "GDPR",
      "value": "resume:GDPR"
    },
    {
      "id": "resume:Analytical Skills",
      "label": "Analytical Skills",
      "value": "resume:Analytical Skills"
    },
    {
      "id": "resume:Scheduling",
      "label": "Scheduling",
      "value": "resume:Scheduling"
    },
    {
      "id": "resume:Efficacy Studies",
      "label": "Efficacy Studies",
      "value": "resume:Efficacy Studies"
    },
    {
      "id": "resume:Outpatient",
      "label": "Outpatient",
      "value": "resume:Outpatient"
    },
    {
      "id": "resume:Jira",
      "label": "Jira",
      "value": "resume:Jira"
    },
    {
      "id": "resume:Account Management",
      "label": "Account Management",
      "value": "resume:Account Management"
    },
    {
      "id": "resume:Zendesk",
      "label": "Zendesk",
      "value": "resume:Zendesk"
    }
  ],
  "manager": false,
  "consultant": false,
  "contractor": false,
  "consider_levels": [
    [
      3,
      4
    ],
    [
      5,
      6
    ]
  ],
  "min_years_exp": 5,
  "regions": [
    {
      "id": "North America",
      "label": "North America",
      "value": "North America"
    }
  ],
  "stages": [
    {
      "id": "1000+ employees",
      "label": "1000+ employees",
      "value": "1000+ employees"
    },
    {
      "id": "Growth",
      "label": "Growth",
      "value": "Growth"
    }
  ],
  "funding_lv": null,
  "markets": [
    {
      "id": "Digital Health",
      "label": "Digital Health",
      "value": "Digital Health"
    },
    {
      "id": "Mental Health Care",
      "label": "Mental Health Care",
      "value": "Mental Health Care"
    }
  ],
  "time_stamp": "2026-07-16T21:14:41.742000Z",
  "title": "Operations Lead, Adult Outpatient Services",
  "url": "https://jobs.lever.co/lyrahealth/3b0c93ff-0de2-4037-bff7-08c86f9b6de8",
  "job_id": "3b0c93ff-0de2-4037-bff7-08c86f9b6de8",
  "remote": true,
  "hybrid": false,
  "scores": {
    "score": 1001.1882152849337,
    "match_score": 0,
    "age_score": 0.988215284933642,
    "richness_score": 2
  },
  "ats_jobs": [],
  "matching_talent": {
    "count": 0,
    "matches": []
  },
  "job_seniorities": [
    {
      "id": "senior",
      "label": "Senior",
      "value": "senior"
    },
    {
      "id": "mid",
      "label": "Mid",
      "value": "mid"
    }
  ],
  "job_seniority_ids": [
    "senior",
    "mid"
  ],
  "is_featured": false,
  "from_url": "https://jobs.greylock.com/jobs"
}

Each scraped job listing returns a rich record with 31 distinct fields. Here is a detailed breakdown:

Company Information

Field	Meaning & Use
company_id	Unique identifier for the hiring company in Greylock's system
company_name	Official name of the startup or company
company_domain	Company website domain (e.g., example.com)
company_slug	URL-friendly company name identifier
company_logos	Logo image URL(s) for the company
company_staff_count	Estimated number of employees
funding_lv	Funding stage (e.g., Seed, Series A, Series B, Series C+)
stages	Detailed company maturity stage classification
markets	Industry verticals (e.g., FinTech, HealthTech, AI)
regions	Geographic regions where the company operates

Job Details

Field	Meaning & Use
job_id	Unique identifier for this job posting
title	Job title (e.g., "Senior Software Engineer")
url	Direct link to the full job posting on Greylock.com
apply_url	URL to submit an application
departments	Organizational department (e.g., Engineering, Product, Sales)
job_types	Employment type (Full-time, Part-time, Contract, Internship)
job_functions	Role function categories (e.g., Backend, Frontend, Data)

Location & Work Arrangements

Field	Meaning & Use
locations	Raw location data as listed (e.g., "San Francisco, CA" or "Remote")
normalized_locations	Standardized location format for consistency
remote	Boolean flag indicating if the role is fully remote
hybrid	Boolean flag indicating if the role is hybrid
consider_hosted	Whether relocation/relocation assistance is offered

Experience & Seniority

Field	Meaning & Use
min_years_exp	Minimum years of experience required for the role
job_seniorities	Seniority level labels (e.g., Junior, Mid-Level, Senior, Lead)
job_seniority_ids	Numeric IDs corresponding to seniority levels
consider_levels	Flexibility in seniority requirements for consideration

Skills & Requirements

Field	Meaning & Use
skills	All mentioned technical and soft skills for the role
required_skills	Hard skills that are mandatory for the position
preferred_skills	Nice-to-have skills that strengthen candidacy

Role Type Classifications

Field	Meaning & Use
manager	Boolean flag: is this a management/leadership role?
consultant	Boolean flag: is this a consultant or advisory role?
contractor	Boolean flag: is this a contractor or freelance role?

Compensation & Incentives

Field	Meaning & Use
salary	Salary range or compensation details (when provided)

Metadata & Scoring

Field	Meaning & Use
time_stamp	When the job listing was created or last updated
scores	Ranking or relevance score for the job posting
is_featured	Boolean: whether the listing is promoted/featured on the platform
ats_jobs	Integration status with Applicant Tracking Systems
matching_talent	Number or flag indicating candidate match count

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How to Use

1. Identify target URLs — Visit https://jobs.greylock.com/jobs and optionally apply filters (department, location, funding level). Copy the filtered URL if needed.

2. Configure the scraper — Paste one or more Greylock job page URLs into the urls array. Set max_items_per_url based on your data needs (e.g., 20 for a sample, 100+ for comprehensive coverage).

3. Set error handling — Leave ignore_url_failures: true to ensure the scraper continues if a page becomes unavailable mid-run.

4. Start scraping — Launch the actor and monitor the run log for progress.

5. Export & integrate — Download results as JSON, CSV, or Excel and load into your database, job aggregator, or analytics platform.

Best practices:

• Use max_items_per_url: 100 or higher for complete dataset captures
• Run scrapes during off-peak hours to minimize server load
• Re-run weekly or monthly to track new postings and salary updates
• Combine with other job scraper data for competitive intelligence

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Use Cases & Business Value

• Job aggregators — Add Greylock-backed startup jobs to your platform, differentiating with premium VC-ecosystem data
• Market research — Analyze hiring trends, salary ranges, and skill demand in early-stage startups
• Talent intelligence — Identify high-growth companies by tracking hiring velocity and funding stage
• Career insights — Build reports on which Greylock portfolio companies are hiring for specific roles
• Executive recruiting — Scout talent and competitive opportunities in the venture capital ecosystem

The Greylock Jobs Search Scraper transforms job discovery into actionable data, saving teams dozens of manual hours and enabling data-driven decision-making in the startup talent market.

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Conclusion

The Greylock Jobs Search Scraper is an essential tool for anyone working with venture-backed startup job data. Whether you're aggregating opportunities, researching market trends, or building talent intelligence platforms, this scraper delivers structured, comprehensive records across 31 fields. Start capturing Greylock ecosystem jobs today and unlock insights into the future of work.