Lever Job Scraper [💰$0.08] — Company Job Boards & Postings

What does Lever Job Scraper do?

Lever Job Scraper extracts structured job data from lever.co — including salary data, apply URLs, company metadata, descriptions, and remote-work indicators. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• 💰 Structured salary: structured salary, salaryMin, salaryMax and salaryCurrency on every job.
• 🏢 Employer details: company name the employer behind each job.
• 💼 Employment type and work mode: workType, workplaceType and isRemote as fields, so you can filter jobs without reading the text.
• 🗓️ Posting dates: postedAt tell you how fresh each job is.
• 🔍 Keyword search: search lever.co by keyword with the query input, in the place you name in location.
• 🔗 Paste-mode: paste lever.co URLs into startUrls to scrape exactly the pages you picked in the browser.
• ♻️ Incremental mode: recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Lever jobs" pings to your hiring channel.
• 📦 Compact mode: AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
• 🔌 MCP connectors: export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.
• 📌 Change classification: each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired.

What data can you extract from lever.co?

Each result includes Core job fields (platform, leverRegion, id, jobId, listingId, title, url, and portalUrl, and more), extended fields (description, descriptionPlain, descriptionHtml, descriptionMarkdown, and descriptionBodyPlain), apply information (applyUrl), and company metadata (company and companySlug). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — The company whose Lever board you want — its board name (e.g. "spotify") or the full board URL (e.g. "https://jobs.lever.co/spotify"). Use a JSON array to scrape several boards in one run, e.g. ["spotify","netflix"]. Required if no Start URLs are provided.
• location — Only return postings in this location, filtered by Lever itself (e.g. "London", "Remote"). Leave empty for every location on the board.
• maxResults — Maximum total results (0 = unlimited). (default: 100)
• startUrls — Paste Lever board URLs (e.g. https://jobs.lever.co/spotify). Each URL becomes its own task; results are merged and deduped by job ID across all URLs. When provided, Start URLs REPLACE the company field (unsupported URLs are skipped, and if none is supported the run stops with an input error). (default: [])
• descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• descriptionFormat — Which description representations to emit. all keeps every variant (plain text, HTML and Markdown) — the default. text / html / markdown drop the variants you don't need and typically halve output size. (default: "all")
• excludeEmptyFields — Drop null / empty-string / empty-array fields (and fully-null nested objects like socialProfiles) from each output record. Off by default to preserve dataset schema compatibility; turn on to slim output for LLM / agent consumption. (default: false)
• extractEmails — Collect email addresses written in each posting's description into extractedEmails (recruiter or application contacts). On by default; turn off to leave extractedEmails empty. (default: true)
• includeRawJson — Add the complete, unmodified Lever posting object to each result as rawJson — every field Lever returns, including ones not mapped to their own column. Off by default; it roughly doubles the record size. (default: false)
• incrementalMode — Compare against previous run state. stateKey is optional — defaults to a value derived from the boards being scraped, so different board sets never share state. (default: false)
• stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.
• ...and 16 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "spotify",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "spotify",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "spotify-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "spotify",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "platform": "lever",
  "company": "spotify",
  "companySlug": "spotify",
  "leverRegion": "global",
  "id": "223f9722-3579-4ff2-b123-e4cc7b0c1a64",
  "jobId": "223f9722-3579-4ff2-b123-e4cc7b0c1a64",
  "title": "Art Director - Mexico",
  "url": "https://jobs.lever.co/spotify/223f9722-3579-4ff2-b123-e4cc7b0c1a64",
  "hostedUrl": "https://jobs.lever.co/spotify/223f9722-3579-4ff2-b123-e4cc7b0c1a64",
  "applyUrl": "https://jobs.lever.co/spotify/223f9722-3579-4ff2-b123-e4cc7b0c1a64/apply",
  "department": "Markets and Subscriber Growth",
  "team": "Marketing",
  "location": "Mexico City",
  "locations": [
    "Mexico City"
  ],
  "allLocations": [
    "Mexico City"
  ],
  "normalizedLocation": "Mexico City",
  "country": "MX",
  "workplaceType": "hybrid",
  "isRemote": false,
  "commitment": "Permanent",
  "workType": "Permanent",
  "employmentTypes": [
    "Permanent"
  ],
  "createdAt": "2026-10-09T17:15:08.174Z",
  "createdAtTimestamp": 1791566108174,
  "postedAt": "2026-10-09",
  "ageDays": 9,
  "description": "The Marketing team in Latin America defines and evolves how Spotify shows up across the region. We shape brand experiences that feel authentic, inclusive, and deeply rooted in music culture. In Mexico...",
  "descriptionPlain": "The Marketing team in Latin America defines and evolves how Spotify shows up across the region. We shape brand experiences that feel authentic, inclusive, and deeply rooted in music culture. In Mexico...",
  "descriptionHtml": "<div>The Marketing team in Latin America defines and evolves how Spotify shows up across the region. We shape brand experiences that feel authentic, inclusive, and deeply rooted in music culture. In M...",
  "descriptionBodyPlain": "The Marketing team in Latin America defines and evolves how Spotify shows up across the region. We shape brand experiences that feel authentic, inclusive, and deeply rooted in music culture. In Mexico...",
  "lists": [
    {
      "text": "What You'll Do",
      "content": "<div>\n\n<li>Bring creative concepts to life through strong visual direction and design craft across music campaigns, artist programs, and editorial moments in Latin America.</li>\n<li>Translate creative...",
      "contentPlain": "- Bring creative concepts to life through strong visual direction and design craft across music campaigns, artist programs, and editorial moments in Latin America.\n\n- Translate creative strategy and n..."
    },
    {
      "text": "Who You Are",
      "content": "<div>\n\n<li>You have experience as an Art Director or senior visual creative within music, culture, entertainment, or a related creative industry.</li>\n<li>You bring a strong visual point of view and a...",
      "contentPlain": "- You have experience as an Art Director or senior visual creative within music, culture, entertainment, or a related creative industry.\n\n- You bring a strong visual point of view and a sharp eye for..."
    },
    {
      "text": "Where You'll Be",
      "content": "<li>This role is based in Mexico City, Mexico.</li>\n<li>We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from h...",
      "contentPlain": "- This role is based in Mexico City, Mexico.\n\n- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We..."
    }
  ],
  "requirementsPlain": "- You have experience as an Art Director or senior visual creative within music, culture, entertainment, or a related creative industry.\n\n- You bring a strong visual point of view and a sharp eye for...",
  "additionalPlain": "Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for every...",
  "source": "https://api.lever.co/v0/postings/spotify?mode=json",
  "scrapedAt": "2026-10-19T02:30:30.089Z",
  "listingId": "223f9722-3579-4ff2-b123-e4cc7b0c1a64",
  "portalUrl": "https://jobs.lever.co/spotify/223f9722-3579-4ff2-b123-e4cc7b0c1a64",
  "descriptionMarkdown": "The Marketing team in Latin America defines and evolves how Spotify shows up across the region. We shape brand experiences that feel authentic, inclusive, and deeply rooted in music culture. In Mexico...",
  "searchQuery": "spotify",
  "contentQuality": "full",
  "detailFetched": false
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape lever.co

1. Go to Lever Job Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from lever.co for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed jobs on scheduled runs without processing the full dataset every time.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape lever.co?

Lever Job Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.0045 per run
• Per result: $0.00008 per job record

Example costs:

• 10 results: $0.00531
• 25 results: $0.00652
• 100 results: $0.013
• 200 results: $0.021
• 500 results: $0.045

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 jobs per run, daily polling (30 runs/month). Costs scale linearly with the number of jobs.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.02	$0.00551	$0.02 (78%)	$0.17
15% — moderate broad query	$0.02	$0.00754	$0.02 (70%)	$0.23
30% — high-volume aggregator	$0.02	$0.01	$0.01 (57%)	$0.32

Full re-scrape monthly cost at the same cadence: $0.74. First month with incremental costs $0.18 / $0.24 / $0.33 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from lever.co?

The number of results depends on the search query and available jobs on lever.co. Use the maxResults parameter to control how many results are returned per run.

Does Lever Job Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Lever Job Scraper with other apps?

Yes. Lever Job Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Lever Job Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Lever Job Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape lever.co?

This actor extracts publicly available data from lever.co. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on lever.co. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Lever's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Lever or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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