# Lever.co Scraper (`lexis-solutions/lever-co-scraper`) Actor
Scrape job postings from Lever.co-hosted career sites - including titles, locations, departments, posting dates, and application links. Ideal for job aggregation, market analysis, and trend tracking. Fast, structured, and customizable extraction.
- **URL**: https://apify.com/lexis-solutions/lever-co-scraper.md
- **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community)
- **Categories:** Jobs, Developer tools, Automation
- **Stats:** 22 total users, 0 monthly users, 100.0% runs succeeded, 6 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
$29.00/month + usage
To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.
Learn more: https://docs.apify.com/actors/running/actors-in-store.md#rental-actors
## What's an Apify Actor?
Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
### 📓 Lever.co Scraper
### What does Lever.co Scraper do? 🤖
Lever.co Scraper is a powerful tool that allows you to extract job postings data from [Lever.co](https://www.lever.co/) quickly and efficiently. It extracts comprehensive data such as:
- 🏢 Job URL and direct application links
- 💼 Job title and position details
- 🏢 Department and team information
- 📍 Job location and workplace type (remote, hybrid, or on-site)
- 📋 Employment type (full-time, part-time, contract, etc.)
- 📝 Complete job description with requirements and responsibilities
- 🏷️ Job categories and department classifications
- 🔗 Direct application URLs for easy access
### How can you use the Lever.co data? 📊
The Lever.co data you can extract with this scraper can be used for a variety of purposes, such as:
- **📈 Job market analysis**: Analyze trends in job postings, such as the most in-demand skills or the average salary for specific positions across different companies.
- **🔍 Competitive intelligence**: Monitor job postings by competitors to gain insights into their hiring practices, growth strategies, and organizational structure.
- **🎓 Research**: Use the data for academic or industry research on employment trends, skills demand, or labor market dynamics in the tech industry.
- **💡 Career planning**: Identify opportunities for reskilling or upskilling based on in-demand positions and required qualifications from top companies.
- **📊 Data visualization**: Create maps or graphs showing job distribution across regions, sectors, or companies, helping to identify hotspots of opportunity.
- **🏢 Company research**: Understand hiring patterns and growth trajectories of specific companies or industries.
### How to scrape Lever.co 🚀
It is super easy to scrape [Lever.co](https://www.lever.co/) with Lever.co Scraper. Just follow these few steps and you will get your data in a few minutes.
1. Click on **Try for free**.
2. Enter the company's Lever.co careers page URL or search parameters for your target companies.
3. Click on **Save & Start**.
4. When the scraper has finished, you can preview and download your data from the Output tab.
### Example of Lever.co Scraper input 📝
```json
{
"query": "Sales manager",
"maxItems": 10
}
```
### Example of Lever.co Scraper output 📋
```json
{
"url": "https://jobs.lever.co/mantisinnovation/8e59530d-908b-4c7e-bff2-9adddea3b309",
"jobTitle": "Sales Executive, Consultative Facility Solutions",
"jobDepartment": "Sales – Sales, Projects West",
"jobLocation": "Seattle, WA",
"employmentType": "Full-time",
"workplaceTypes": "Hybrid",
"jobDescription": "Mantis Innovation is a leading facility performance consultant and project delivery engine that delivers smart, sustainable solutions that improve facility performance and unlock operational efficiencies. We serve over 70% of what a building owner/operator spends on their buildings inside and out, including the building envelope, pavements, mechanical systems, lighting, energy procurement, and technology ecosystem. Our company delivers custom outcomes for our clients that reduce operating costs, flatten capital spending, reduce carbon emissions, and drive sustainability ambition. Are you an accomplished consultative salesperson? Do you have experience selling commercial/industrial facility solutions? If you said yes, we want to talk to you! General Summary The primary mission of the Sales Executive role is to grow new business for facility projects with large commercial and industrial clients. You will work closely with internal subject matter experts to identify and sell turnkey facility projects and collaborate with engineers and project managers to ensure high client satisfaction. We're looking for somebody capable of providing consultative solutions that meet our clients where they are and drive facility management strategies that help protect their bottom line."
}
```
### How much will scraping Lever.co cost you? 💰
When it comes to scraping, it can be challenging to estimate the resources needed to extract data, as use cases may vary significantly. That's why the best course of action is to **run a test scrape** with a small sample of URLs. You'll get your price per scrape, which you'll then multiply by the number of scrapes you intend to do.
Check out the video below for a few helpful tips. And don't forget that choosing a higher plan will save you money in the long run.
[How much does web scraping with Apify cost?](https://www.youtube.com/watch?v=-wyz2iscZ30 "How much does web scraping with Apify cost?")
### Want to scrape other job boards? 🌍
You can use the other dedicated Job Scrapers if you want to scrape specific job posting websites. Each of them is built particularly for the corresponding website, ensuring fast and efficient data extraction. Check them out:
### Not doing what you need? 🤝
Lever.co scraper doesn't exactly do what you need? We can help you with that. Lexis Solutions is a [certified Apify Partner](https://apify.com/partners/find). We can help you with custom solutions or data extraction projects.
Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions)
### Support Our Work 💝
If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to. It will take you less than a minute but it will mean a lot to us!
### Integrations and Lever.co Scraper 🔗
Last but not least, Lever.co Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, LangChain, [and more](https://docs.apify.com/integrations).
You can also use [webhooks](https://docs.apify.com/integrations/webhooks) to carry out an action whenever an event occurs, e.g. get a notification whenever Lever.co Scraper successfully finishes a run.
### Using Lever.co Scraper with the Apify API 🔌
The Apify API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify projects. The API also lets you access any datasets, monitor actor performance, fetch results, create and update versions, and more.
To access the API using Node.js, use the apify-client NPM package. To access the API using Python, use the Apify client PyPI package.
Check out the [Apify API reference](https://docs.apify.com/api/v2) docs for full details or click on the [API tab](https://apify.com/streamily/lever-co-scraper/api) for code examples.
### Is it legal to scrape job data from Lever.co? ⚖️
Our [Jobs Scrapers](https://apify.com/store?category=jobs) are ethical and **do not extract any personal data**. They only extract information that the user has chosen to share publicly. However, you should be aware that your results could contain personal data. You should not scrape personal data unless you have a legitimate reason to do so.
If you're unsure whether your reason is legitimate, consult your lawyers. You can also read our blog post on the [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/) and [ethical scraping](https://blog.apify.com/what-is-ethical-web-scraping-and-how-do-you-do-it/).
### Your feedback 💬
We're always working on improving the performance of our Actors. So if you've got any technical feedback on Lever.co Scraper or simply found a bug, please create an issue on the Actor's [Issues tab](https://console.apify.com/actors/lever-co-scraper/issues) in Apify Console.
# Actor input Schema
## `query` (type: `string`):
The keyword(s) for the job you're looking for.
## `maxItems` (type: `integer`):
The maximum number of job listings to scrape
## Actor input object example
```json
{
"query": "software engineer",
"maxItems": 10
}
```
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"query": "software engineer"
};
// Run the Actor and wait for it to finish
const run = await client.actor("lexis-solutions/lever-co-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "query": "software engineer" }
# Run the Actor and wait for it to finish
run = client.actor("lexis-solutions/lever-co-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"query": "software engineer"
}' |
apify call lexis-solutions/lever-co-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"type": "http",
"url": "https://mcp.apify.com/?tools=fetch-actor-details,lexis-solutions/lever-co-scraper"
}
}
}
```
The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/dLtXr9Jlo7OMItXKz/builds/hPhjFur5eVbWXA8CO/openapi.json