Pricing

Pay per usage

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Job Posting Aggregator

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Scrape and normalize job postings from Indeed, LinkedIn, Greenhouse, and Lever.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Miguel Fernandez

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Supported Sources

Indeed — Largest job board, comprehensive listings
LinkedIn Jobs — Professional network job postings (public listings only)
Greenhouse — ATS boards used by startups and tech companies
Lever — ATS boards used by fast-growing companies

What You Get

Field	Description
`title`	Job title
`company`	Company name
`location`	Job location (city, state, or "Remote")
`salary`	Salary range (when available)
`seniority`	Inferred level: intern, junior, mid, senior, manager, executive
`url`	Direct link to the job posting
`postedDate`	When the job was posted
`snippet`	Brief description excerpt
`source`	Which job board it came from
`department`	Department (Greenhouse only)

Input Example

{
    "searchTerms": ["software engineer", "product manager"],
    "locations": ["San Francisco, CA", "Remote"],
    "sources": ["indeed", "linkedin"],
    "maxResultsPerSource": 50,
    "postedWithinDays": 7
}

Use Cases

Recruiting: Aggregate listings across boards into one view
Market research: Analyze hiring trends by company, role, location
Sales intelligence: Track which companies are hiring (buying signal)
Competitor analysis: Monitor competitor hiring patterns

Pricing

Pay per result. Approximately $2-5 per 100 job postings extracted.

Notes

LinkedIn public listings only (no login required)
Greenhouse/Lever results depend on which companies use those platforms
Results are deduplicated within each run
Salary data availability varies by source and listing

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