Lever Jobs Search
Pricing
$0.99 / 1,000 jobs
Lever Jobs Search
Search for jobs directly from Lever ATS. Access tech startups and scale-ups using Lever for recruitment. Zero ghost jobs, verified daily. Perfect for job boards, AI agents & startup hiring research.
Lever Jobs Scraper & API | Extract Jobs from Lever ATS
Scrape and search job listings directly from Lever ATS β the modern recruiting platform used by Lyft, Coinbase, Twitch, Gusto, Calm, and thousands of VC-backed startups and scale-ups.
Search across 6,000+ companies and hundreds of thousands of jobs from the next generation of tech.
π What's new in v2.0
Major upgrade. If you're upgrading from v1.x your existing scheduled runs keep working β is_remote, queries, locations, posted_after, page, page_size are unchanged. Everything below is additive:
- Far richer per-job data β AI-extracted
qualifications(typed hard / soft skills, education, certifications),responsibilities[],benefits[],summary(one-paragraph AI summary),normalized_titlefor canonical grouping. - Enriched company object β
company.industries[],company.summary,company.logo_url,company.website, plus acompany.details_urllink to the full enriched company profile (funding, leadership, ratings, press references, H1B stats). - Geocoded locations β every
locations[]entry includes resolvedcity/region/countryandlatitude/longitudewhen the raw string is geocodable. - Salary range filter β
min_salary_usd/max_salary_usd(USD-normalized server-side from any source currency). - Skills include / exclude β match against AI-extracted qualifications, not just description text.
- Companies include / exclude β narrow to (or away from) specific employers.
- Work model + experience + employment type filters β
work_models,experience_levels,employment_typesas explicit faceted filters. - Negative query syntax β prefix any
queriesentry with-to drop that token (e.g.["Software Engineer", "-staff", "-principal"]). - Work-authorization signals β
is_work_auth_required,is_h1b_sponsor,is_clearance_requiredflags per job.
Source key changed: the dataset now emits
source: "lever"(matching the canonical Jobo source ID). v1 emittedsource: "lever_co". Update any downstream consumer keyed on the old value.
No setup required. The actor ships pre-configured to call the Jobo Connect API.
β‘ Why Use This Actor?
- 6,000+ companies indexed β VC-backed startups through recently public tech
- Hundreds of thousands of jobs β every open role from every Lever customer
- Startup DNA β Series A through pre-IPO, equity-first, remote-friendly employers
- Zero ghost jobs β daily verification removes expired listings
- Rich structured data β salary, geocoded locations, experience level, full descriptions, company industries, AI-extracted skills / responsibilities / benefits, and work-authorization signals
π’ Companies Using Lever
Lever is the preferred ATS for modern startups and scale-ups:
| Company | Industry | Stage |
|---|---|---|
| Lyft | Rideshare | Public |
| Coinbase | Crypto | Public |
| Twitch | Streaming | Acquired |
| Gusto | HR Tech | Late Stage |
| Calm | Wellness | Late Stage |
| Opendoor | Real Estate | Public |
| Ro | Healthcare | Growth |
| Dutchie | Cannabis Tech | Growth |
| Samsara | IoT | Public |
| Braze | Marketing | Public |
β¦and 6,000+ more startups in our database
π Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
queries | Array | [] | Job titles or keywords (e.g., ["Software Engineer"]). Multiple values are OR-ed. Prefix any entry with - to exclude that word, e.g. ["Software Engineer", "-staff", "-principal"] returns Software Engineer roles but drops anything titled Staff/Staffing/Staffed/β¦ or Principal/Principals/β¦ (light suffix-stemming applied). |
locations | Array | [] | Cities, regions, countries (e.g., ["San Francisco"]). Geocoded server-side β accepts loose forms like "NYC", "Bay Area", "UK". |
is_remote | Boolean | false | Quick toggle for remote-only. Overridden by work_models if both are set. |
work_models | Array | [] | Work model: remote, hybrid, onsite. Multiple allowed. |
employment_types | Array | [] | full-time, part-time, contract, internship, freelance, temporary. |
experience_levels | Array | [] | intern, entry, mid, senior, lead, executive. |
skills_include | Array | [] | Only return jobs requiring ANY of these skills (e.g. ["Python", "Node.js"]). Matched case-insensitively against AI-extracted qualifications. |
skills_exclude | Array | [] | Exclude jobs requiring ANY of these skills. |
companies_include | Array | [] | Only return jobs from these company names (e.g. ["Lyft", "Coinbase", "Gusto"]). Case-insensitive exact match against the canonical company name. |
companies_exclude | Array | [] | Exclude jobs from these companies. Useful for filtering out staffing agencies or companies you've already applied to. |
min_salary_usd | Integer | - | Minimum annual USD salary. Excludes jobs without disclosed salary. Salaries in other currencies are normalized server-side. |
max_salary_usd | Integer | - | Maximum annual USD salary. Combine with min_salary_usd for a range. |
posted_after | String | - | ISO 8601 (e.g. 2026-01-01T00:00:00Z) or relative (7 days ago, 1 month, yesterday, last week). |
page | Integer | 1 | Page number (max: 100). |
page_size | Integer | 50 | Results per page (max: 100). |
π€ Output Schema
Each dataset row uses Jobo Connect's enhanced job shape β far richer than raw Lever JSON. Notable additions: normalized_title (canonical title for grouping), summary (AI-generated short description), company.industries, company.details_url (link to the full enriched company profile), structured qualifications with typed skills, responsibilities[], benefits[], geocoded locations[] with lat/lon, and work-authorization flags.
{"id": "a1b2c3d4-5678-90ab-cdef-1234567890ab","title": "Senior Software Engineer","normalized_title": "software_engineer","company": {"id": "f7c12345-1111-2222-3333-444455556666","name": "Gusto","website": "https://gusto.com","logo_url": "https://...","summary": "Gusto is the all-in-one people platform for payroll, benefits, and HR.","industries": ["HR Tech", "Payroll", "SaaS"],"details_url": "https://connect.jobo.world/api/companies/f7c12345-1111-2222-3333-444455556666"},"description": "We're looking for...","summary": "Senior backend role on Gusto's payments platform team β Ruby/Go, owns latency-sensitive APIs.","listing_url": "https://jobs.lever.co/gusto/abc123","apply_url": "https://jobs.lever.co/gusto/abc123/apply","locations": [{"location": "San Francisco, CA","city": "San Francisco","region": "California","country": "United States","latitude": 37.7749,"longitude": -122.4194}],"compensation": { "min": 160000, "max": 220000, "currency": "USD", "period": "year" },"employment_type": "full_time","workplace_type": "hybrid","experience_level": "senior","is_remote": false,"qualifications": {"must_have": {"education": ["BS in Computer Science"],"certifications": [],"skills": [{ "name": "Ruby", "type": "hard" },{ "name": "distributed systems", "type": "hard" }]},"preferred": {"education": [],"certifications": [],"skills": [{ "name": "Go", "type": "hard" }]}},"responsibilities": ["Own a critical service in the payroll path", "..."],"benefits": ["Equity", "Health, dental, vision", "..."],"is_work_auth_required": true,"is_h1b_sponsor": true,"is_clearance_required": false,"source": "lever","date_posted": "2026-04-15T10:30:00Z","valid_through": "2026-07-15T00:00:00Z","created_at": "2026-04-15T11:02:11Z","updated_at": "2026-04-30T08:14:55Z"}
Field reference
| Field | Type | What it is |
|---|---|---|
| Identity | ||
id | UUID | Stable Jobo job identifier. Same across re-scrapes. |
source | string | Always "lever" for this actor. |
| Content | ||
title | string | Job title as published by the employer. |
normalized_title | string | null | Canonical title slug (e.g. software_engineer). Useful for grouping/comparing across companies. |
description | string | Full job description, HTML stripped, line breaks preserved. |
summary | string | null | AI-generated 2β3 sentence summary of the role. |
listing_url | string | Canonical URL to view the job on Lever. |
apply_url | string | Direct application URL (often equal to listing_url). |
| Company | ||
company.id | UUID | Stable Jobo company identifier. |
company.name | string | Display name. |
company.website | string | null | Marketing website. |
company.logo_url | string | null | Hosted logo URL. |
company.summary | string | null | One-paragraph company summary (AI-curated). |
company.industries | string[] | 1β3 industry tags (e.g. ["HR Tech", "SaaS"]). |
company.details_url | string | null | URL to the full enriched company profile (funding, leadership, ratings, press references, H1B stats). Same X-Api-Key required. |
| Location | ||
locations[].location | string | null | Raw location string from the posting. |
locations[].city / region / country | string | null | Resolved geocoded fields. |
locations[].latitude / longitude | number | null | Decimal degrees when geocoded. |
is_remote | bool | True if any location is fully remote. |
| Classification | ||
employment_type | string | null | full_time, part_time, contract, internship, temporary. |
workplace_type | string | null | remote, hybrid, onsite. |
experience_level | string | null | entry, mid, senior, lead, executive. |
| Compensation | ||
compensation.min / max | number | null | Range bounds in posted currency. |
compensation.currency | string | null | ISO 4217 (e.g. USD, EUR). |
compensation.period | string | null | hour, day, week, month, year. |
| Qualifications | ||
qualifications.must_have.education | string[] | Required degrees. |
qualifications.must_have.certifications | string[] | Required certifications. |
qualifications.must_have.skills[] | objects | {name, type: "hard" | "soft"}. |
qualifications.preferred.* | same shape | Nice-to-haves. |
responsibilities | string[] | Bulleted responsibilities extracted from the description. |
benefits | string[] | Bulleted benefits. |
| Authorization | ||
is_work_auth_required | bool | null | True when applicants must already have work auth in the job's country. |
is_h1b_sponsor | bool | null | True when the company is known to sponsor H1B visas. |
is_clearance_required | bool | null | True when a US security clearance is required. |
| Dates (UTC) | ||
created_at / updated_at | datetime | When Jobo first ingested / last updated the row. |
date_posted | datetime | null | When the employer originally posted. |
valid_through | datetime | null | Employer-declared expiry, when present. |
See the Dataset Schema tab in the Apify UI for the full machine-readable JSON Schema.
π Quick Start Examples
Remote engineering jobs at fast-growing startups
{"queries": ["Software Engineer", "Backend Developer"],"is_remote": true,"page_size": 50}
Senior+ roles in San Francisco, $160k+
{"queries": ["Software Engineer"],"locations": ["San Francisco"],"experience_levels": ["senior", "lead"],"min_salary_usd": 160000,"page_size": 50}
Recent data science jobs (last 7 days)
{"queries": ["Data Scientist", "ML Engineer"],"posted_after": "7 days ago","page_size": 100}
Software Engineer roles, but skip Staff / Principal / Lead
Prefix any queries entry with - to exclude that token. Excludes are lightly stemmed, so -staff also catches staffs, staffed, staffing. The exclusion applies across title, description, and skills β useful for filtering out role-modifier words you never want to see.
{"queries": ["Software Engineer", "-staff", "-principal", "-lead"],"experience_levels": ["mid", "senior"],"page_size": 50}
Python / Node.js backend roles, no Java
Skill filters match against AI-extracted qualifications, not raw description text β so you don't have to worry about a job description that says "we don't use Java" matching your skills_exclude: Java.
{"queries": ["Backend Engineer"],"skills_include": ["Python", "Node.js"],"skills_exclude": ["Java"],"is_remote": true,"page_size": 50}
Hybrid product roles at a specific portfolio shortlist
Companies match case-insensitively on the canonical name. Pull the names from a previous run's company.name field if you're unsure of the exact form.
{"queries": ["Product Manager"],"companies_include": ["Lyft", "Coinbase", "Gusto", "Calm"],"work_models": ["hybrid", "onsite"],"experience_levels": ["senior", "lead"]}
H1B-sponsoring engineering roles
The is_h1b_sponsor flag is per-job (derived from public DOL filings + company history), not per-company.
{"queries": ["Software Engineer"],"experience_levels": ["mid", "senior"],"min_salary_usd": 140000,"page_size": 100}
Then filter the dataset for
is_h1b_sponsor == truein your client code.
π‘ Tips & Gotchas
- Negative query scope.
-staffexcludes documents containing the tokenstaffin any searched field (title, description, skills, company name). For role-modifier words likestaff,lead,principal,internthat's nearly always what you want; for ambiguous words it can over-exclude. industriesempty for some companies. Industries are populated by Jobo's company enrichment pipeline (Crunchbase + LinkedIn + AI curation). Companies that haven't been enriched yet showindustries: []. Coverage is ~95%+ on companies with > 100 jobs in our index, lower on long-tail companies.- Geocoding is best-effort. Loose location strings like
"Worldwide"or"Multiple Locations"won't havelatitude/longitude. The rawlocationstring is always preserved so you can fall back to it. details_urlis authenticated. It returns the same auth-gated JSON as Jobo Connect's enterprise company API β you'll need anX-Api-Key. Treat the URL as a discoverable hint rather than an open endpoint.- Pagination cap.
page_sizemaxes at 100;pagemaxes at 100. To pull more than 10,000 results for a query, narrow the filter (e.g. byposted_afterwindow,companies_include, or a more specificqueries) rather than paginating deeper. - One ATS per actor. This actor pre-pins
sources: ["lever"]β you can't widen it to other ATSes. Use ATS Jobs Search to query Lever + Greenhouse + Ashby + 45 more in one call.
πΌ Use Cases
| Industry | Use Case |
|---|---|
| Job Boards | Build startup-focused job aggregators with rich structured data |
| AI Agents | Power career chatbots and rΓ©sumΓ©-matching agents with Lever data |
| VC Firms | Monitor portfolio company hiring velocity and team build-out |
| Recruiting | Source candidates and roles at fast-growing startups |
| Salary Research | Benchmark compensation at VC-backed companies by stage / role |
| Market Research | Track startup hiring trends across sectors |
β Frequently Asked Questions
How many Lever companies do you cover?
We index 6,000+ companies using Lever, representing hundreds of thousands of active startup jobs. New companies and jobs are added daily.
Which companies use Lever?
Lever is the ATS of choice for VC-backed startups and scale-ups: Lyft, Coinbase, Twitch, Gusto, Calm, Opendoor, Ro, Dutchie, Samsara, Braze, and 6,000+ more in our database. Series A through pre-IPO and recently public.
Lever vs Greenhouse β what's the difference?
Lever = startups & scale-ups, equity-first, remote-friendly. Greenhouse = larger tech unicorns and high-growth public companies. Both are tech-focused; Lever skews earlier-stage.
How often is data updated?
Jobs are verified daily. Expired listings are automatically removed within 24 hours.
How do I exclude certain titles?
Prefix any entry in queries with -. Example: ["Software Engineer", "-staff", "-principal"] returns Software Engineer roles but drops Staff and Principal variants. Excludes are lightly stemmed (-staff also catches staffs / staffed / staffing).
Why is industries empty for some companies?
Industries come from Jobo's company-enrichment pipeline (Crunchbase + LinkedIn + AI curation). Companies that haven't been enriched yet β typically very small or newly added β show industries: []. The full enriched profile (including industries) is also available via company.details_url.
Can I filter by salary?
Yes β min_salary_usd and max_salary_usd. Salaries posted in other currencies are normalized to USD server-side using current FX rates. Jobs without a disclosed salary are excluded when either filter is set.
What does company.details_url give me?
It links to the full enriched company profile on Jobo Connect: funding history, leadership, employee counts, ratings (Glassdoor), press mentions, H1B sponsorship statistics. It uses the same X-Api-Key as the search API.
Can I search all ATS platforms at once?
Yes! Use ATS Jobs Search to search Lever + Greenhouse + Ashby + 45 other platforms in one call.
What's the difference between v1.x and v2.0?
v2 calls a richer backend (Jobo Connect direct, not the previous gateway). Same input contract for queries / locations / is_remote / posted_after / page / page_size (existing schedules keep working), plus a much richer per-job shape and 10+ new filters. The dataset's source field changed from "lever_co" to "lever" β update any consumer keyed on the old value. See What's new in v2.0 above.
π Related Actors
| Actor | Best For |
|---|---|
| ATS Jobs Search | Search all 48 ATS platforms at once |
| ATS Jobs Feed | Bulk download for data pipelines |
| AI Deep Job Search | AI-powered relevance scoring |
| Greenhouse Jobs Search | Tech unicorn jobs |
| Ashby Jobs Search | High-growth startup jobs |
| Crunchbase Company Lookup | Pair with company.details_url for funding / leadership data |
π’ About Jobo
Jobo provides the most comprehensive job data infrastructure for developers and businesses. Our ATS Jobs Database powers job boards, AI agents, and HR tech platforms worldwide.
- Website: jobo.world
- Enterprise API: jobo.world/enterprise
- Support: enrico@jobo.world