Automatically extract complete public job details from one Lever posting with our no-code scraper. Capture structured job details for job aggregation, role monitoring, and downstream automation. Configure the request, run the Bot, and receive one predictable structured response without rebuilding the workflow.
What Does BrowserAct Lever Job Details Scraper Do?
The Bot extracts complete public job details from one Lever posting. It stays within the selected public page flow and returns structured job details ready for review or automation.
Key Features
- Reads public Lever data without requiring an account login.
- Uses non-empty defaults so the template can run immediately.
- Maps finite website options to dropdown inputs when available.
- Returns structured values from the selected capability only.
- Keeps conditional values empty only when the public page does not display them.
Quick Start
1. Open Run Task.
2. Review or change the populated input values.
3. Run the Bot.
4. Review the structured result in the Output Tab.
5. Connect the published template to your downstream workflow when needed.
Input Parameters
| Parameter | Configuration |
|---|---|
job_url | String; required; default https://jobs.lever.co/spotify/47d4eabf-8d5a-4dab-ac72-de7b5b56841c. Public job url to process. |
Example Output
The table shows one representative real result. Long text is shortened only in this documentation preview.
| Field | Result |
|---|---|
job_id | 47d4eabf-8d5a-4dab-ac72-de7b5b56841c |
job_title | Senior Staff Machine Learning Engineer - Content Platform |
company_name | Spotify |
location | New York, NY |
team | Engineering – Experience / |
employment_type | Permanent / |
workplace_type | Remote |
description | We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of user... |
responsibilities | Define and drive machine learning strategy across content understanding, safety, policy enforcement, and platform-level decisioning Build and scale production ML systems for classification, moderation, ranking, risk d... |
requirements | You have significant experience designing and building production-grade machine learning systems at scale You have deep experience with modern ML frameworks such as PyTorch, TensorFlow, JAX, or similar You have experi... |
additional_qualifications | null |
salary | The United States base range for this position is $281,196 - $401,709 plus equity. These ranges may be modified in the future. |
benefits | The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. |
deadline | null |
company_logo_url | https://lever-client-logos.s3.us-west-2.amazonaws.com/0f50cbb4-b98b-444e-bf90-e2e61463d146-1738001993645.png |
job_url | https://jobs.lever.co/spotify/47d4eabf-8d5a-4dab-ac72-de7b5b56841c |
How Does It Work?
1. BrowserAct validates the supplied inputs and maps supported dropdown selections.
2. The Bot constructs or normalizes the target URL and opens the supplied public detail page.
3. It reads the visible job details without entering unrelated pages or account-only areas.
4. It normalizes visible values, preserves valid optional values, and stops after the target page has been processed.
5. The run returns one structured response for review, export, or downstream automation.
Use Cases
- Job aggregation.
- Role monitoring.
- Recruiting research.
- Connect the structured result to API clients, n8n, Make, Zapier, MCP-based agents, or supported exports.
Create Your Own Lever Job Details Scraper
Step 1: Create an Editable Copy
Click Create Editable Duplicate in the upper-right corner of this page. An editable copy will be added to your BrowserAct workspace.
Step 2: Customize the Bot When Needed
Open the duplicate from your Bots list. Use Improve only when you need to change inputs, extraction behavior, or output fields. If the current workflow already fits, use it as is and find its Bot ID in the Bots list.
Step 3: Run the Bot Through the API
Use the Bot ID with the BrowserAct API to invoke your workflow programmatically and retrieve structured results in your application.
Automation and Export
BrowserAct produces structured data first. Use the result through Run Task, the JSON API, n8n, Make, Zapier, MCP-based agents, or the supported manual export flow.
Need Help?
Cannot find the exact capability you need, or need help composing several Bots?
