Lever Jobs Scraper: Job Postings from jobs.lever.co

Get every open posting from the Lever career pages (jobs.lever.co) of the companies you choose, as clean, flat JSON, CSV or Excel. This Lever jobs scraper reads Lever's public Postings API, the interface Lever offers for showing postings on a company's own website, so it is fast and does not break when a careers page changes its design. List as many companies as you like in one run.

One request returns up to 100 postings with everything in them: team, department, commitment, workplace type, every location, the full text with requirements and benefits as separate texts where the ad separates them, and the salary range when the employer publishes it.

What you get

One row per posting:

• Posting: id (lever:account:postingId), title, job and apply page, account name
• Classification: department, team, employment type (Lever's commitment), workplace type (Remote, Hybrid, On-site), remote flag, level in metadata
• Location: all locations, plus country, ISO country code, region and city of the first one
• Date: creation date
• Salary: minimum, maximum, currency, period and the range as written, when published
• Texts: the full ad as plain text, requirements and benefits separately, optional HTML

Why this actor

• Everything in one request. The list holds the text, the lists and the salary range: a company with 309 postings is four requests, with no detail request per posting.
• Requirements and benefits split, next to the full ad text.
• Salary as numbers you can sort and filter, and a filter that keeps only postings with a range.
• Every location of a posting, parsed into country code, region and city.
• Many companies per run, or a ready-made list by country, remote jobs, industry or every Lever company we know.
• Contact details removed from ad texts, a report per company and a charge cap: you pay per delivered posting.

How to use it

1. Open the Actor and fill in Companies (the other fields are optional filters).
2. Set Maximum job ads to a small number for a first try (the default is a safe start).
3. Click Start. The status line shows progress; the run stops cleanly at your limit or at the charge limit you set in the run options.
4. Open the Dataset tab and download JSON, CSV, Excel, XML or HTML, or send the rows to Google Sheets, Slack, Make, n8n or Zapier with the Integrations tab.
5. To run it on a schedule, use Schedules in Apify Console and turn on Only new rows since the last run below: every run then costs only the new rows, and a webhook URL tells you when something new came in.

Input

Field	What it does
companies, lists	Account names (palantir), addresses (https://jobs.lever.co/palantir) or posting links; ready-made lists picked in the form
keywords	Match the job title; keywordsInDescription also searches the ad text
locations	Countries, codes, regions or cities; add remote to keep remote postings
departments, employmentTypes, remoteOnly, withSalaryOnly, postedAfter	More filters (departments also matches teams; postedAfter: 2026-10-01, yesterday, 7 days)
maxItems, maxItemsPerCompany, includeHtml	Limits (0 = none); HTML texts
onlyNew, stateName, notifyUrl, notifyWhenEmpty	See Automation below

Example: full-time engineering postings in London, from two companies.

{
  "companies": ["palantir", "spotify"],
  "keywords": ["engineer"],
  "locations": ["London"],
  "employmentTypes": ["Full-time"]
}

Output

37 fields per row. Empty values are null, never missing, so CSV and Excel columns are stable.

Field	Type	Example
id	string	greenhouse:stripe:8172510
jobId	string	8172510
ats	string	greenhouse
company	string	stripe
companyName	string	Stripe
title	string	Abuse Investigator
url	string	Job page
applyUrl	string	Apply page
requisitionCode	string	Requisition code
department	string	Department (first)
departments	array	All departments
team	string	Team or function
employmentType	string	Full-time
workplaceType	string	Workplace type: Remote, Hybrid, On-site, or as written
isRemote	boolean	False
location	string	Dublin · Ireland
locations	array	Locations: raw text, country, countryCode (ISO 3166-1), region, city
country	string	Ireland
countryCode	string	IE
region	string	Region or state of the first location
city	string	Dublin
publishedAt	string	2026-09-03T17:30:34.000Z
updatedAt	string	Last update (when the system publishes it)
language	string	en
salaryMin	number	Salary from (when the employer publishes it)
salaryMax	number	Salary to
salaryCurrency	string	Salary currency (ISO 4217)
salaryPeriod	string	Salary period: year, month, week, day, hour
salaryText	string	Salary as the employer wrote it
descriptionText	string	Full ad text as plain text, contact details removed
requirementsText	string	Requirements as a separate text (Lever, Workable, Recruitee, Personio, when the employer separates them)
benefitsText	string	Benefits as a separate text (Lever, Workable, Personio, when separated)
descriptionHtml	string	HTML version of the description (only with "Include HTML")
requirementsHtml	string	HTML version of the requirements (only with "Include HTML")
benefitsHtml	string	HTML version of the benefits (only with "Include HTML")
metadata	object	Other fields the employer set: custom fields, level, category, experience, hours per week, keywords
detailsIncluded	boolean	False

Example rows

Two real rows from a run (long texts shortened here, complete in the dataset):

[
  {
    "id": "lever:BDG:b404a58a-c488-406a-87ff-1189b75573e2",
    "jobId": "b404a58a-c488-406a-87ff-1189b75573e2",
    "ats": "lever",
    "company": "BDG",
    "companyName": "BDG",
    "title": "Data Engineer",
    "url": "https://jobs.lever.co/BDG/b404a58a-c488-406a-87ff-1189b75573e2",
    "applyUrl": "https://jobs.lever.co/BDG/b404a58a-c488-406a-87ff-1189b75573e2/apply",
    "requisitionCode": null,
    "department": "Product",
    "departments": [
      "Product"
    ],
    "team": "Engineering",
    "employmentType": "Full-time",
    "workplaceType": "Hybrid",
    "isRemote": false,
    "location": "New York, NY, United States",
    "locations": [
      {
        "raw": "New York, NY",
        "country": "United States",
        "countryCode": "US",
        "region": "NY",
        "city": "New York"
      }
    ],
    "country": "United States",
    "countryCode": "US",
    "region": "NY",
    "city": "New York",
    "publishedAt": "2025-02-11T19:01:30.515Z",
    "updatedAt": null,
    "language": null,
    "salaryMin": 105000,
    "salaryMax": 145000,
    "salaryCurrency": "USD",
    "salaryPeriod": "year",
    "salaryText": "105,000–145,000 USD per year",
    "descriptionText": "What You'll Do\n• Develop & Maintain Data Pipelines: Build scalable and efficient ETL pipelines to support analytics, reporting, and machi…",
    "requirementsText": "Who You Are\n• Experienced Data Engineer: 2+ years of experience working with data infrastructure, ETL processes, and large-scale datasets…",
    "benefitsText": "BDG Benefits\n• Competitive Compensation: Market-based salary with annual reviews.\n• Unlimited PTO: Take the time you need to recharge and…",
    "metadata": null,
    "detailsIncluded": false
  },
  {
    "id": "lever:BDG:a99c041c-784c-4e62-81eb-ef1f032b931b",
    "jobId": "a99c041c-784c-4e62-81eb-ef1f032b931b",
    "ats": "lever",
    "company": "BDG",
    "companyName": "BDG",
    "title": "Data Engineering Director",
    "url": "https://jobs.lever.co/BDG/a99c041c-784c-4e62-81eb-ef1f032b931b",
    "applyUrl": "https://jobs.lever.co/BDG/a99c041c-784c-4e62-81eb-ef1f032b931b/apply",
    "requisitionCode": null,
    "department": "Product",
    "departments": [
      "Product"
    ],
    "team": "Engineering",
    "employmentType": "Full-time",
    "workplaceType": "Hybrid",
    "isRemote": false,
    "location": "New York, NY, United States",
    "locations": [
      {
        "raw": "New York, NY",
        "country": "United States",
        "countryCode": "US",
        "region": "NY",
        "city": "New York"
      }
    ],
    "country": "United States",
    "countryCode": "US",
    "region": "NY",
    "city": "New York",
    "publishedAt": "2025-02-11T18:58:17.925Z",
    "updatedAt": null,
    "language": null,
    "salaryMin": 165000,
    "salaryMax": 190000,
    "salaryCurrency": "USD",
    "salaryPeriod": "year",
    "salaryText": "165,000–190,000 USD per year",
    "descriptionText": "What You'll Do\n• Lead & Grow the Team: Build, mentor, and scale a high-performing data engineering team to develop data-driven products t…",
    "requirementsText": "Who You Are\n• Experienced Technical Leader: Proven track record in leading cross-functional and distributed engineering teams.\n• Strategi…",
    "benefitsText": "BDG Benefits\n• Competitive Compensation & Equity: Market-leading pay with annual reviews and stock options.\n• Unlimited PTO: Recharge and…",
    "metadata": null,
    "detailsIncluded": false
  }
]

Results can be downloaded as JSON, CSV, Excel, XML or HTML from the Dataset tab, or read through the Apify API.

Pricing

Pay per result. You pay for each job ad delivered to your dataset, nothing else: no subscription, no minimum, no charge for rows your filters drop or for the requests behind them.

Your Apify plan	Price per 1,000 rows	Price per row
Free plan	$2.00	$0.002
Starter plan	$1.67	$0.00167
Scale plan	$1.33	$0.00133
Business plan and above	$1.00	$0.001

Example: 1,000 job ads cost $2.00 on the Free plan and $1.00 on the Business plan. The Apify platform usage of a run (compute, storage) is small for this actor — well under one cent per 1,000 rows — and is billed by Apify separately, as for every Actor. A start event of $0.00005 is charged once per run (Apify default). Cap your spend: set Maximum total charge in the run options. The actor stops cleanly when the cap is reached and you keep everything delivered until then. The run summary (RUN_SUMMARY in the key-value store) says why a run stopped.

Automation: only new rows, notifications, schedules

Only new rows since the last run. Turn on onlyNew and the actor remembers every job ad it delivered to you (in a key-value store named rowcraft-lever-jobs-scraper-state in your Apify account). The next run with the same stateName skips what you already have and you pay only for new rows. The first run delivers everything that matches. Use a different stateName for each schedule or search so they keep separate memories.

Notification when the run ends. Put a webhook address in notifyUrl and the actor sends one JSON POST with the number of new rows, links to the dataset (JSON and CSV) and the run. It works out of the box with Slack and Discord incoming webhooks (the message is in text and content), with Make, n8n and Zapier catch hooks, and with your own endpoint. By default it is sent only when there is at least one new row; notifyWhenEmpty sends it every time.

Schedules. Create a schedule in Apify Console (hourly, daily, weekly or cron) with onlyNew on. A daily schedule gives you a feed of new job ads for the price of the new rows only.

Integrations. Send the results to Make, n8n, Zapier, Google Sheets, Slack, Google Drive, Airtable or any webhooks from the Integrations tab of the Actor, with no code. Apify also offers native actions for Make, n8n and Zapier.

API, SDKs and AI agents. Every run is available through the Apify API and the official JavaScript and Python clients; the Actor can also be called by AI agents through the Apify MCP server. The example input in the API tab is a working call.

Use cases

• Job boards and aggregators: a clean feed from the Lever companies you follow.
• Recruiting and sales intelligence: which teams a company is hiring for, and where.
• Monitoring: only new rows tell you when a company posts a matching role.

Ready-made examples, each with the input filled in (open one and press Start, or save it as your own task):

• Find remote jobs at companies hiring on Lever
• Get jobs in India from companies hiring on Lever
• Find sales jobs at US companies on Lever

What this actor does not do

• Search all of Lever by keyword: you bring account names or lists, and the filters apply to them.
• Read applications, candidates, recruiters or hiring managers.
• Report closed postings: a posting that disappears is simply missing from the next run.

Limits and fair use

• One request per second by default, 250 ms at the lowest. Lever sends 100 postings per request and the actor pages through all of them: Palantir's board had 309 postings on 10 October 2026 (four requests), Spotify's 200.
• Filters run after the postings are read; only delivered postings are charged.
• Requirements and benefits are recognised from the headings of the ad's lists; with unusual headings they stay in the full text. Salary appears only when the employer fills in the range.
• If the site shows an anti-bot page or asks for a long pause, the actor stops and keeps what it delivered (stoppedByProtection, stoppedByRateLimit in the run summary).

Data source

Source: the Lever Postings API (api.lever.co), the public, keyless interface Lever offers for showing postings on a company's own website. Its robots.txt allows access with a crawl delay of one second, which the default speed respects. No login or cookie. The postings belong to the employers; each row links to the original. Rowcraft is not affiliated with Lever; the name belongs to its owner.

Privacy: no personal data

Rowcraft actors are built not to collect personal data:

• The postings list has no recruiter or hiring-manager fields and none are read; applicants are never requested.
• E-mail addresses, phone numbers, mailto:, tel: and personal LinkedIn links in ad texts are removed; contact-person names after a title or contact cue ("Recruiter: …") become [name removed]. Other names cannot be told from ordinary words reliably.

You are responsible for using the data in line with the law that applies to you.

Other Rowcraft actors

All Rowcraft actors read official or public sources, deliver flat rows without personal data and support only-new runs and notifications:

• Ashby Jobs Scraper – Job Postings with Salary Ranges — Job postings from Ashby job boards (jobs.ashbyhq.com) by company: title, department, team, locations with country, employment and workplace type, published salary range, full text.
• Broken Link Checker – Find 404s and Dead Links API — Pay per crawled page, not per link: crawl a site within robots.txt and check every link on each page for 404s, 5xx errors, DNS and TLS failures and redirects.
• Career Site Jobs Scraper: Greenhouse, Lever, Ashby, Workday — Job listings from the career pages of the companies you choose on Greenhouse, Lever, Ashby, Workday, Workable, Personio, Recruitee, Teamtailor and Gem, in one run and one format: title, locations, department, salary when published, full text.
• Chrome Web Store Scraper: Users, Ratings & Versions — Reads public Chrome Web Store listing pages with no login, no proxy and no personal data: users, rating, category, version, update date, permissions and company developers.
• Domain Email and DNS Checker API: MX, SPF, DMARC, Providers — Find which email provider, sending services and DNS host each domain uses, from public DNS records only.
• SIRENE France Company Scraper: SIREN, NAF, Revenue, Status — French companies from the official Recherche d'entreprises API (INSEE SIRENE + INPI): SIREN and SIRET, legal form, NAF activity, head-office address, employee band, revenue and net income, labels, creation date and VAT number.
• Gem Jobs Scraper – Job Board Listings from jobs.gem.com — Job listings from Gem job boards (jobs.gem.com) by company: title, department, offices with country, employment type, remote, hybrid or on-site, requisition ID, publication date and full ad text, from the public Gem Job Board API.
• Google Play Apps Scraper: App Details, Installs, Ratings — Public Google Play app details as flat rows: installs, rating, number of ratings, price, version, last update, minimum Android, ads and in-app purchases.
• Greenhouse Jobs Scraper – Job Listings by Company Board — Job listings from Greenhouse job boards by company: title, departments, offices, publication date, full ad text, published pay ranges.
• Himalayas Jobs Scraper: Remote Jobs API with Salaries — Remote jobs from Himalayas through its public jobs API: title, company, salary range, seniority, categories, the countries and time zones open to candidates, full description and job link.
• KRS Poland Companies Scraper: Register Data, PKD, Status — Polish companies from the official KRS register API of the Ministry of Justice: name, KRS, NIP and REGON numbers, legal form, status, address, PKD activity codes, share capital, branches and registration dates.
• LEI Records Scraper: Legal Entity Identifier Lookup API — Legal Entity Identifier (LEI) records from the Global LEI Index, read through the public GLEIF API: legal name, legal form, register number, addresses, status, renewal date and parent companies.
• Norway Company Register Scraper: Brønnøysund Business Data — Norwegian companies from the Central Coordinating Register for Legal Entities (Brønnøysund, NLOD open data): organisation number, legal form, industry, employees, share capital, addresses, website, VAT and bankruptcy status.
• Personio Jobs Scraper: Job Listings, Salaries, Departments — Job ads from any company's Personio careers feed: title, department, office, employment type, schedule, seniority, salary when published, keywords and the full description in the language you choose.
• Platsbanken Scraper: Sweden Jobs, Employers, Org Numbers — Every job ad on Platsbanken (Arbetsförmedlingen) from the official JobTech API: headline, employer and organisation number, occupation codes, municipality, coordinates, salary type, deadline and full text.
• Recruitee Jobs Scraper – Job Listings by Company Career Site — Job listings from Recruitee career sites by company: title, department, locations with country, employment type, remote flag, published salary and full text, one request per company.
• Robots.txt and AI Crawler Access Checker API — Check which AI and search crawlers a website lets in: GPTBot, ClaudeBot, PerplexityBot, Google-Extended and more, read from robots.txt by the RFC 9309 rules.
• RSS Feed Finder and Reader – Blog and News Article API — Find the RSS, Atom and JSON feeds of any website and read their newest articles, from a domain name alone.
• SEO Audit Tool: Titles, Meta Tags, Headings and Links API — Audit the on-page SEO of any list of pages or websites: titles, meta descriptions, headings, canonicals, indexing, links, images and structured data, with a score and the issues found per page.
• Shopify Products Scraper: Store Catalog Export to JSON, CSV — Products from any Shopify store's public catalog: title, vendor, type, tags, description, variants with price, compare-at price, SKU and stock, images, options, store currency.
• Sitemap URL Extractor: Every Page with Last-Modified Dates — Get every page a site lists in its sitemaps, with last-modified dates, from robots.txt through sitemap indexes and .gz files.
• SSL Certificate and Security Headers Checker API — Check the TLS certificate and the HTTP security headers of every domain in one run, with an A+ to F grade and the exact issues to fix.
• Store Products Scraper – Shopify, WooCommerce, VTEX — Export the product catalogue of any Shopify, WooCommerce or VTEX store from its public catalogue endpoint: title, brand, prices, discounts, stock, categories, images and links, one row per product, the same columns on every platform.
• Structured Data Extractor: JSON-LD, Schema.org, Open Graph — Pull the schema.org JSON-LD, Microdata, RDFa and Open Graph of any page list into flat rows: types, product price, availability, ratings, organization, breadcrumbs, with validation issues.
• Teamtailor Jobs Scraper – Career Site Jobs by Company — Job listings from Teamtailor career sites by company: title, department, role, locations with city and country, remote or hybrid status, publication date and full ad text, from the official job feed.
• TED Tenders Scraper: EU Public Procurement Notices API — EU public procurement notices from TED (Tenders Electronic Daily), the official EU tenders portal, through its public Search API: title, buyer, country, CPV codes, values, deadlines, lots and document links.
• UK Companies House Scraper: Company Search & Profiles API — UK companies from the official Companies House API with your free key: search by name, status, type, SIC code, date or location, or look up company numbers.
• UK Tenders Scraper: Find a Tender + Contracts Finder API — UK public procurement notices from Find a Tender and Contracts Finder, the official UK government portals, through their open OCDS APIs: title, buyer, region, CPV codes, values, deadlines, notice type and links.
• Bulk URL Status and Redirect Chain Checker API — Check the status code, redirect chain, canonical and indexing signals of every URL in a list, with the final destination and a loop flag.
• VTEX Products Scraper – Public Catalog Export — Export the catalogue of any VTEX store (Auchan, Chedraui and thousands of retailers in Europe and Latin America) from its public search endpoint: title, brand, EAN, prices, list prices, stock, categories, specifications and images, one row per product.
• Website Tech Stack Detector – Technology Lookup API — Find the technologies behind a list of websites: CMS, e-commerce platform, analytics, tag managers, ad pixels, consent tools, chat, CDN and payments, from one polite home-page request per domain.
• WooCommerce Products Scraper – Store API Export — Export every product of a WooCommerce store through its public Store API: title, SKU, prices and sale prices, stock, categories, tags, attributes, ratings, images and links, one row per product.
• Workable Jobs Scraper: Job Listings from Career Pages — Job listings from any company's Workable career page: title, department, location, remote or on-site, employment type, description, requirements, benefits and salary when published.
• Workday Jobs Scraper – Jobs from myworkdayjobs.com Sites — Job listings from Workday career sites (myworkdayjobs.com) by company: title, locations, country, posting date, time type, requisition ID and the full description.

FAQ

How do I find a company's Lever account name? Open its Lever careers page: if the address is jobs.lever.co/palantir, the name is palantir. A posting link on that domain (jobs.lever.co/<company>/<id>) reads only that posting. A job page on the company's own domain, for example a stripe.com page, cannot be read from its link: use the account name.

Does Lever show salaries? When the employer fills in a posting's salary range you get salaryMin, salaryMax, salaryCurrency, salaryPeriod and salaryText; otherwise those columns are empty. Only jobs with a published salary keeps just the postings that have one.

Why are requirements or benefits empty on a posting? They come from the ad's lists whose headings read like requirements or benefits. Anything else stays in descriptionText, which always holds the full ad.

How do I get only new postings on a schedule? Turn on onlyNew, give each schedule its own stateName and add a schedule in Apify Console. The actor remembers every posting id, so an edited ad is not delivered or charged again.

How fast is it, and are there limits? One request per second, no proxies, one request per 100 postings: most companies take a few seconds.

Can I read many companies without typing them? Yes. Pick one or more Ready-made company lists in the input form and the actor reads the Lever companies in them. The lists hold companies we checked on the public API; sizes are shown in the form.

What happens when a company name is wrong? The COVERAGE record and the run summary give each company a status: ok, empty (no open postings, or the job of a job link has closed: its id is listed in missingJobLinks), not_found, failed (with the reason) or not_reached (the run stopped before it). A company that moved to another system often leaves an empty account behind.

How much does it cost? $2.00 per 1,000 job ads on the Free plan, less on paid plans (see Pricing). You pay only for rows delivered to your dataset; set a maximum total charge in the run options to cap a run.

How do I get the results into Slack, Google Sheets, Make, n8n or Zapier? Use the Integrations tab of the Actor for the data, and the notifyUrl field for a message when a run ends (Slack and Discord webhooks work directly; catch hooks of Make, n8n and Zapier too).

Can I call it from code or from an AI agent? Yes: through the Apify API, the JavaScript and Python clients, and the Apify MCP server. The API tab shows a working example with the input of this Actor.

Is it legal to use this data? The actor reads the official API described in the Data source section and delivers company and job data without personal data. The licence of the source is described above. How you use the data is your responsibility under the law that applies to you.

Does it collect personal data? No. Contact persons, e-mails and phone numbers are removed and fields about people are never requested. See the Privacy section.

The run finished with 0 rows. Did I pay? No: with no rows delivered nothing is charged apart from the start event. Check the run summary (RUN_SUMMARY) for warnings, widen the filters, or run with Only new rows off if everything matching was already delivered to you.

Support and reviews

Problems, missing fields, questions: open an issue on the Issues tab of this Actor. We answer within one working day and fix confirmed bugs in the next release; the changelog lists every change.

If this Actor saved you time, a short review on its page helps other users find it and helps us keep improving it.