```yaml
product: AlterLab
title: How to Scrape Lever Data: Complete Guide for 2026
category: Tutorials
comparison_context: "AlterLab is an alternative to Firecrawl, ScrapingBee, and Bright Data."
last_updated: 2026-07-25
canonical_facts:
  - "Learn how to scrape Lever job listings using Python and Node.js with AlterLab's API, handling anti-bot measures and extracting structured data."
source_url: https://alterlab.io/blog/how-to-scrape-lever-data-complete-guide-for-2026
```

# How to Scrape Lever Data: Complete Guide for 2026

This guide covers extracting publicly accessible data. Always review a site's robots.txt and Terms of Service before scraping.

## TL;DR
Use AlterLab's API to fetch Lever job pages with a single request in Python or Node.js. The service handles proxy rotation, header management, and JavaScript rendering automatically. Extract fields like title, location, and date via CSS selectors or the Cortex structured extraction API.

## Why collect jobs data from Lever?
Lever hosts job postings for thousands of tech companies. Analyzing this data enables:
- Market research: identify hiring trends and skill demand across industries.
- Competitive intelligence: monitor where rivals are expanding teams.
- Talent sourcing: build pipelines for recruiting or outreach campaigns.

## Technical challenges
Lever employs standard anti-bot measures: rate limiting by IP, header validation (User-Agent, Accept), and occasional JavaScript checks that serve a challenge page to headless browsers lacking proper fingerprints. Raw HTTP requests often receive HTTP 429 or a blank HTML shell. AlterLab's Smart Rendering API mitigates these by rotating residential proxies, setting realistic headers, and escalating to a full browser when needed, all while staying within the site's public access boundaries.

- **99.2%** — Success Rate
- **1.2s** — Avg Response
- **$0.002** — Per Request (T3)

## Quick start with AlterLab API
First, install the SDK. See the [Getting started guide](/docs/quickstart/installation) for detailed setup.

### Python
```python title="scrape_lever-co.py" {3-5}
import alterlab

client = alterlab.Client("YOUR_API_KEY")
response = client.scrape("https://jobs.lever.co/acme")
print(response.text[:500])
```

### Node.js
```javascript title="scrape_lever-co.js" {3-5}
import { AlterLab } from "alterlab";

const client = new AlterLab({ apiKey: "YOUR_API_KEY" });
const response = await client.scrape("https://jobs.lever.co/acme");
console.log(response.text.slice(0, 500));
```

### cURL
```bash title="Terminal"
curl -X POST https://api.alterlab.io/v1/scrape \
  -H "X-API-Key: YOUR_KEY" \
  -d '{"url": "https://jobs.lever.co/acme"}'
```

These snippets retrieve the raw HTML of a Lever jobs page. Adjust the URL to target a specific company or search query.

## Extracting structured data
Once you have the HTML, parse it with a library like BeautifulSoup (Python) or cheerio (Node.js). Common selectors for Lever job cards:

- Job title: `.posting-title`
- Company: `.company`
- Location: `.location`
- Posted date: `.posted-date`
- Application link: `a[href*="/jobs/"]` (relative to `https://lever.co`)

Example Python extraction:
```python title="parse_lever.py"
from bs4 import BeautifulSoup

soup = BeautifulSoup(response.text, "html.parser")
jobs = []
for card in soup.select(".posting"):
    jobs.append({
        "title": card.select_one(".posting-title").get_text(strip=True),
        "company": card.select_one(".company").get_text(strip=True),
        "location": card.select_one(".location").get_text(strip=True),
        "date": card.select_one(".posted-date").get_text(strip=True),
        "url": "https://lever.co" + card.select_one("a")["href"]
    })
print(jobs[:3])
```

## Structured JSON extraction with Cortex
AlterLab's Cortex API lets you define a JSON schema and receive typed data without writing parsers. This is useful when the page structure changes frequently.

```python title="extract_lever-co_structured.py"
import alterlab

client = alterlab.Client("YOUR_API_KEY")
result = client.extract(
    url="https://jobs.lever.co/acme",
    schema={
        "type": "array",
        "items": {
            "type": "object",
            "properties": {
                "title": {"type": "string"},
                "company": {"type": "string"},
                "location": {"type": "string"},
                "datePosted": {"type": "string", "format": "date"},
                "applyUrl": {"type": "string", "format": "uri"}
            },
            "required": ["title", "company", "location"]
        }
    }
)
print(result.data)
```

The Cortex endpoint internally uses a headless browser, runs the schema‑matching model, and returns validated JSON. For Lever, this approach reduces boilerplate and handles pagination via repeated calls with different `offset` parameters.

## Cost breakdown
AlterLab charges per successful request. The table below shows the cost at each processing tier. For Lever, start at T1; if the request fails due to anti‑bot measures, the API promotes automatically to the next tier and you only pay for the tier that succeeds.

| Tier | Use Case | Cost per Request | Cost per 1,000 | Requests per $1 |
|------|----------|-----------------|----------------|------------------|
| T1 — Curl | Static HTML, no JS needed | $0.0002 | $0.20 | 5,000 |
| T2 — HTTP | Standard pages with headers | $0.0003 | $0.30 | 3,333 |
| T3 — Stealth | Protected pages, anti-bot active | $0.002 | $2.00 | 500 |
| T4 — Browser | Full JS rendering required | $0.004 | $4.00 | 250 |
| T5 — CAPTCHA | CAPTCHA solving + JS rendering | $0.02 | $20.00 | 50 |

See the [AlterLab pricing](/pricing) page for the latest rates and volume discounts.

<div data-infographic="steps">
  <div data-step data-number="1" data-title="Request sent" data-description="Client posts URL to AlterLab API"></div>
  <div data-step data-number="2" data

## Frequently Asked Questions

### Is it legal to scrape lever?

Scraping publicly accessible job listings is generally permissible under precedents like hiQ v LinkedIn, but you must review Lever's robots.txt and Terms of Service, apply rate limiting, and avoid private or gated data.

### What are the technical challenges of scraping lever?

Lever employs standard anti-bot protections such as rate limiting, header checks, and occasional JavaScript challenges that can block simple HTTP requests.

### How much does it cost to scrape lever at scale?

AlterLab's pricing starts at $0.0002 per request for static pages (T1) and goes up to $0.004 for full browser rendering (T4); the API auto-escalates so you only pay for the tier that succeeds.

## Related

- [Hotels.com Data API: Extract Structured JSON in 2026](<https://alterlab.io/blog/hotels-com-data-api-extract-structured-json-in-2026>)
- [Kayak Data API: Extract Structured JSON in 2026](<https://alterlab.io/blog/kayak-data-api-extract-structured-json-in-2026>)
- [How to Scrape Wellfound Data: Complete Guide for 2026](<https://alterlab.io/blog/how-to-scrape-wellfound-data-complete-guide-for-2026>)