--- license: cc-by-4.0 pretty_name: "Lever Postings API — Tech Jobs, Salaries & ATS Data" tags: [jobs, web-scraping, apify, lead-generation, scraper] size_categories: - n<1K --- # Lever Postings API — Tech Jobs, Salaries & ATS Data Unofficial Lever Postings API in one Apify actor. Scrape jobs and structured salary data from any Lever-powered career page — Netflix, Spotify, Shopify, Mixpanel, Lyra Health & 5,000+ more. Pure HTTP, no auth, structured workplaceType, global + EU instances. ## What the actor scrapes # Lever Postings API — Tech Jobs, Salary & ATS Data Scraper Scrape jobs, **structured salary data**, workplace type and full content blocks from any company powered by **Lever** — Netflix, Spotify, Shopify, Mixpanel, Lyra Health, Reddit and thousands more Lever-hosted career pages. This **unofficial Lever Postings API** Actor turns Lever's raw public endpoints into clean, normalized, downstream-ready records you can export to JSON, CSV or Excel. Pure HTTP — **no authentication, no API key, no he ## Who this is for This sample is useful for anyone working in **jobs, lead generation** who wants a quick look at the shape of the data before running the live actor at scale. Treat it as a static snapshot — counts, prices and timestamps reflect the moment the sample was captured and will drift over time. ## Source **Live source:** This dataset is a static sample. For fresh, customizable extractions, run the live Apify actor: [logiover/lever-postings-scraper](https://apify.com/logiover/lever-postings-scraper) ## Fields - **`_mode`** — field captured by the actor - **`site`** — field captured by the actor - **`instance`** — field captured by the actor - **`id`** — unique identifier for the record - **`title`** — item or page title - **`team`** — field captured by the actor - **`department`** — field captured by the actor - **`location`** — location string - **`allLocations`** — field captured by the actor - **`commitment`** — field captured by the actor - **`level`** — field captured by the actor - **`country`** — country name or code - **`workplaceType`** — field captured by the actor - **`createdAt`** — creation timestamp - **`createdAtIso`** — field captured by the actor - **`hostedUrl`** — URL reference - **`applyUrl`** — URL reference - **`opening`** — field captured by the actor - **`description`** — textual description - **`descriptionBody`** — field captured by the actor - **`additional`** — field captured by the actor - **`openingPlain`** — field captured by the actor - **`descriptionPlain`** — field captured by the actor - **`descriptionBodyPlain`** — field captured by the actor - **`additionalPlain`** — field captured by the actor - **`fullDescription`** — field captured by the actor - **`fullDescriptionPlain`** — field captured by the actor - **`lists`** — field captured by the actor - **`salaryRange`** — field captured by the actor - **`salaryMin`** — field captured by the actor - **`salaryMax`** — field captured by the actor - **`salaryCurrency`** — field captured by the actor - **`salaryInterval`** — field captured by the actor - **`salaryDescription`** — field captured by the actor - **`salaryDescriptionPlain`** — field captured by the actor - **`scrapedAt`** — timestamp the row was scraped ## Sample preview ```json [ { "_mode": "jobs", "site": "leverdemo", "instance": "global", "id": "33538a2f-d27d-4a96-8f05-fa4b0e4d940e", "title": "AbelsonTaylor Writer", "team": "Professional Services", "department": "Customer Success", "location": "Arlington, TX", "allLocations": [ "Arlington, TX" ], "commitment": "Regular Full Time (Salary)", "level": null, "country": "US", "workplaceType": "hybrid", "createdAt": 1553186035299, "createdAtIso": "2019-03-21T16:33:55.299Z", "hostedUrl": "https://jobs.lever.co/leverdemo/33538a2f-d27d-4a96-8f05-fa4b0e4d940e", "applyUrl": "https://jobs.lever.co/leverdemo/33538a2f-d27d-4a96-8f05-fa4b0e4d940e/apply", "opening": "