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Jobs · lever.co

How to scrape Lever

Lever (lever.co) is a jobs site. This guide is built from our own checks of its public pages: what the pages contain, whether our requests get through right now, and the request settings that worked.

Working

17 of 19 of our checks passed in the last 7 days (89.5%).

Last check 2026-10-13 17:34 UTC · last pass 2026-10-13 17:34 UTC · checked with our own requests, never customer data.

Try it in the Playground

Run the code on this page with your own key: 5,000 free credits for 7 days, no card. Get a free API key →

Extraction recipe

The API returns the rendered HTML of the page. Select the fields you need with extract rules (CSS selectors) or parse the HTML on your side. The recipe below is a set of Scrape API extract rules: we ran it through our API on two real Lever pages with the settings on this page and kept only the fields that came back on both. It is checked again every week, and hidden if it stops working.

Search and listing pages

Validated 2026-10-13
FieldTypeExample
jobslist of 3+ items
jobs[].urlURLhttps://jobs.lever.co/matchgroup/849c888a-0348-4794-9c8d-5e4da7e76b2d
jobs[].titletextAnalytics Engineer, Data Enabling
jobs[].employment_typetextFull-time
jobs[].locationtextTokyo

Examples from jobs.lever.co/matchgroup on 2026-10-13, shortened.

Sample output (real, trimmed)

{
    "jobs": [
        {
            "url": "https://jobs.lever.co/matchgroup/849c888a-0348-4794-9c8d-5e4da7e76b2d",
            "title": "Analytics Engineer, Data Enabling",
            "employment_type": "Full-time",
            "location": "Tokyo"
        },
        {
            "url": "https://jobs.lever.co/matchgroup/1deea0b0-c0c9-4541-972e-2a437b64b023",
            "title": "Back-end Engineer, Platform (Go)",
            "employment_type": "Full-time",
            "location": "Tokyo"
        },
        {
            "url": "https://jobs.lever.co/matchgroup/4f3e70ea-d843-4666-844a-c0ba07f2033f",
            "title": "Back-end Engineer, Product (Go)",
            "employment_type": "Full-time",
            "location": "Tokyo"
        }
    ]
}
extract_rules (1 rule)
{
    "jobs": {
        "selector": "div.posting",
        "type": "obj",
        "multiple": true,
        "children": {
            "url": {
                "selector": "a.posting-btn-submit",
                "type": "link"
            },
            "title": {
                "selector": "h5[data-qa='posting-name']",
                "type": "text"
            },
            "employment_type": {
                "selector": "span.commitment",
                "type": "text"
            },
            "location": {
                "selector": "span.location",
                "type": "text"
            }
        }
    }
}

Job postings

Validated 2026-10-13
FieldTypeExample
titletextSpotify - Senior Applied Research Scientist - Personalization
descriptiontextThe Personalization team makes deciding what to play next easier an...
remotetextRemote
departmenttextData and Analytics – Personalization /

Examples from jobs.lever.co/spotify/a4c49acb-a095-4452-ad9e-69e4b778c256 on 2026-10-13, shortened.

Sample output (real, trimmed)

{
    "title": "Spotify - Senior Applied Research Scientist - Personalization",
    "description": "The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of S...",
    "remote": "Remote",
    "department": "Data and Analytics – Personalization /"
}
extract_rules (4 rules)
{
    "title": {
        "selector": "meta[property=\"og:title\"]",
        "type": "attr",
        "attribute": "content"
    },
    "description": {
        "selector": "meta[property=\"og:description\"]",
        "type": "attr",
        "attribute": "content"
    },
    "remote": {
        "selector": ".posting-categories .workplaceTypes",
        "type": "text"
    },
    "department": {
        "selector": ".posting-categories .department",
        "type": "text"
    }
}

Code

Complete scripts: set the UJEEBU_API_KEY environment variable and run them as they are. Each one sends the settings on this page and the extraction recipe, prints the extracted JSON, and prints the credits the request cost (the Ujb-Credits response header) on stderr. A non-200 answer stops the script with the API's error message.

Search and listing pages

Runs the recipe on the two pages it was validated on, one after the other.

lever_listing_sdk.py pip install ujeebu-python==0.1.5
# Scrape Lever search and listing pages with the Ujeebu Scrape API.
# Settings and extract rules validated on real pages on 2026-10-13 (Ujeebu site guide).
# Uses the official SDK ujeebu-python 0.1.5: pip install ujeebu-python==0.1.5
# Run: UJEEBU_API_KEY=your_key python3 lever_listing_sdk.py

import json
import os
import sys
import time

import requests
from ujeebu_python import UjeebuClient

API_KEY = os.environ.get("UJEEBU_API_KEY")
URLS = [
    "https://jobs.lever.co/matchgroup",
    "https://jobs.lever.co/palantir",
]
SETTINGS = {
    "js": True,
}
EXTRACT_RULES = {
    "jobs": {
        "selector": "div.posting",
        "type": "obj",
        "multiple": True,
        "children": {
            "url": {
                "selector": "a.posting-btn-submit",
                "type": "link",
            },
            "title": {
                "selector": "h5[data-qa='posting-name']",
                "type": "text",
            },
            "employment_type": {
                "selector": "span.commitment",
                "type": "text",
            },
            "location": {
                "selector": "span.location",
                "type": "text",
            },
        },
    },
}


def scrape(client, url):
    # with extract_rules, client.scrape sends a JSON POST and the API answers {"result": {...}}
    try:
        response = client.scrape(url, params={**SETTINGS, "extract_rules": EXTRACT_RULES})
    except requests.RequestException as error:
        sys.exit(f"Request failed for {url}: {error}")
    if response.status_code != 200:
        try:
            message = response.json().get("message", response.text)
        except ValueError:
            message = response.text
        sys.exit(f"HTTP {response.status_code} for {url}: {str(message)[:300]}")
    print(f"Ujb-Credits: {response.headers.get('Ujb-Credits')}", file=sys.stderr)
    return response.json()["result"]


if not API_KEY:
    sys.exit("Set the UJEEBU_API_KEY environment variable.")

client = UjeebuClient(api_key=API_KEY)

for i, url in enumerate(URLS):
    if i:
        time.sleep(2)  # be polite: one page at a time
    print(json.dumps(scrape(client, url), indent=2, ensure_ascii=False))

Job postings

Runs the recipe on the two pages it was validated on, one after the other.

lever_detail_sdk.py pip install ujeebu-python==0.1.5
# Scrape Lever job postings with the Ujeebu Scrape API.
# Settings and extract rules validated on real pages on 2026-10-13 (Ujeebu site guide).
# Uses the official SDK ujeebu-python 0.1.5: pip install ujeebu-python==0.1.5
# Run: UJEEBU_API_KEY=your_key python3 lever_detail_sdk.py

import json
import os
import sys
import time

import requests
from ujeebu_python import UjeebuClient

API_KEY = os.environ.get("UJEEBU_API_KEY")
URLS = [
    "https://jobs.lever.co/spotify/a4c49acb-a095-4452-ad9e-69e4b778c256",
    "https://jobs.lever.co/spotify/4852ad53-b028-4161-b53b-24c62759257f/apply",
]
SETTINGS = {
    "js": True,
}
EXTRACT_RULES = {
    "title": {
        "selector": "meta[property=\"og:title\"]",
        "type": "attr",
        "attribute": "content",
    },
    "description": {
        "selector": "meta[property=\"og:description\"]",
        "type": "attr",
        "attribute": "content",
    },
    "remote": {
        "selector": ".posting-categories .workplaceTypes",
        "type": "text",
    },
    "department": {
        "selector": ".posting-categories .department",
        "type": "text",
    },
}


def scrape(client, url):
    # with extract_rules, client.scrape sends a JSON POST and the API answers {"result": {...}}
    try:
        response = client.scrape(url, params={**SETTINGS, "extract_rules": EXTRACT_RULES})
    except requests.RequestException as error:
        sys.exit(f"Request failed for {url}: {error}")
    if response.status_code != 200:
        try:
            message = response.json().get("message", response.text)
        except ValueError:
            message = response.text
        sys.exit(f"HTTP {response.status_code} for {url}: {str(message)[:300]}")
    print(f"Ujb-Credits: {response.headers.get('Ujb-Credits')}", file=sys.stderr)
    return response.json()["result"]


if not API_KEY:
    sys.exit("Set the UJEEBU_API_KEY environment variable.")

client = UjeebuClient(api_key=API_KEY)

for i, url in enumerate(URLS):
    if i:
        time.sleep(2)  # be polite: one page at a time
    print(json.dumps(scrape(client, url), indent=2, ensure_ascii=False))

SDK tabs use the official Ujeebu SDKs (ujeebu-python 0.1.5, @ujeebu-org/ujeebu-sdk 0.1.2, github.com/ujeebu/ujeebu-go v0.1.8); there is no PHP SDK, so the PHP tab calls the API with curl. For agents and scripts, the same status and settings are at /scrape/lever.json.

Try it yourself

Run this on Lever with your own key

Get a free API key, set UJEEBU_API_KEY and run any script above as it is. 5,000 free credits for 7 days, no card.

URL patterns and pagination

What the URLs look like, read from the pages our checks fetched.

Search and listing pages

Search or listing URL
https://jobs.lever.co/{query}
Next pages
We did not see a next-page link on the pages we fetched. Results may load as you scroll: try scroll_down.
Validated on
https://jobs.lever.co/matchgrouphttps://jobs.lever.co/palantir

Job postings

Validated on
https://jobs.lever.co/spotify/a4c49acb-a095-4452-ad9e-69e4b778c256https://jobs.lever.co/spotify/4852ad53-b028-4161-b53b-24c62759257f/apply

Settings that work today

From our health checks over the last 7 days: the cheapest settings that return the real page most of the time.

Endpoint/scrape
jstrue
Costup to 5 credits a request (only HTTP 200 and 404 are billed)

Each public page is one request: change the path in the URL to fetch another one. Collect detail page URLs from listing pages first, then fetch each detail page. Our checks run with JavaScript rendering on (js=true): keep it on. Start with the default (rotating) proxy, the cheapest one that passed most of its attempts in our checks.

Try it in the Playground
ProxyAttemptsPassed
Default (rotating)77

The cheapest proxy that passes most of our checks of this site.

Troubleshooting

The failures our own checks of lever.co ran into over the last 7 days, and what got the page in the same check.

What happenedTimesWhat fixed it
The page did not load in time 2 Nothing we tried in the same check. Retry later, one request at a time.

A failed request is not billed: only HTTP 200 and 404 responses cost credits.

What people build with Lever data

  • Job market analyticsCount open roles by company, location and type to see who is hiring and where.More on this use case
  • Job aggregationCollect new postings into your own job board or alerts, with the link back to the original posting.

Limits and etiquette

  • Public pages only. Pages behind a login, and data shown only to signed-in users, are out of scope.
  • Keep the rate modest: fetch pages one after another or with low concurrency, and cache what you already have.
  • robots.txt of jobs.lever.co (read 2026-10-13): public pages allowed for generic crawlers; crawl delay 1 s.
  • Read Lever's terms of service before you collect data at scale, and do not collect personal data you have no basis to process. This guide is not legal advice.

Questions

Can you scrape Lever with Ujeebu?

Yes. 17 of 19 checks of public Lever pages passed in the last 7 days with the settings on this page.

Which settings work for Lever?

Call /scrape with js=true. On the default (rotating) proxy, 7 of 7 attempts passed in the last 7 days.

How many credits does a Lever request cost?

With these settings a request costs up to 5 credits. Only responses with HTTP 200 or 404 are billed: a blocked or timed-out request is free.

Which fields can I extract from Lever?

With the extraction recipes on this page, validated on real Lever pages through our API: search and listing pages: url, title, employment_type, location; job postings: title, description, remote, department. Pass the recipe as extract_rules in a POST to /scrape and the API returns those fields as JSON.

Is it allowed to scrape Lever?

Its robots.txt allows generic crawlers on the page types in this guide. It asks for 1 seconds between requests. Collect public pages only, read Lever's terms of service, keep your request rate modest and do not collect personal data you have no basis to process. This is not legal advice.

How fresh is this page?

The status and settings come from our own health checks of lever.co, which run around the clock. Last check: 2026-10-13 17:34:34 UTC; last pass: 2026-10-13 17:34:34 UTC.