Greenhouse Job Board Scraper
Pricing
Pay per usage
Greenhouse Job Board Scraper
Scrape Greenhouse-powered job boards to extract job titles, departments, locations, and application links. Greenhouse is one of the most widely-used applicant tracking systems, powering career pages for thousands of companies.
Pricing
Pay per usage
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0.0
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Developer

Donny Nguyen
Actor stats
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Bookmarked
3
Total users
0
Monthly active users
2 days ago
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What does Greenhouse Job Board Scraper do?
Scrape Greenhouse-powered job boards to extract job titles, departments, locations, and application links. Greenhouse is one of the most widely-used applicant tracking systems, powering career pages for thousands of companies. It runs on the Apify platform and delivers structured data in JSON, CSV, or Excel format, ready for analysis, integration, or automation workflows. Greenhouse Job Board Scraper handles pagination, retries, and proxy rotation automatically so you can focus on using the data.
Why use Greenhouse Job Board Scraper?
- No coding required — configure inputs in a simple web UI and click Start
- Export anywhere — download results as JSON, CSV, or Excel, or connect via API
- Scheduled runs — set up recurring scrapes to keep your data fresh (hourly, daily, weekly)
- Scalable — process hundreds or thousands of items with automatic proxy rotation and retry logic
- Integrations — connect to Google Sheets, Slack, Zapier, Make, webhooks, and more through the Apify platform
How to use Greenhouse Job Board Scraper
- Navigate to the Greenhouse Job Board Scraper page on Apify Store and click Try for free
- Configure your input parameters (see Input Configuration below)
- Click Start and wait for the run to complete
- View results in the Output tab — use the formatted table or switch to raw JSON
- Download your data as JSON, CSV, or Excel, or access it via the Apify API
Input configuration
| Field | Type | Description | Default |
|---|---|---|---|
| Greenhouse Board URLs | array | List of Greenhouse job board URLs to scrape (e.g., https://boards.greenhouse.io/... | ['https://boards.greenhouse.io/embed/job_board?for=spotify'] |
| Max Results | integer | Maximum number of job listings to extract across all provided URLs. | 100 |
| Scrape Full Descriptions | boolean | If enabled, the scraper will follow each job posting link to extract the full jo... | False |
| Use Residential Proxy | boolean | Enable residential proxies for higher success rates. Recommended if you encounte... | False |
Output data
The actor stores results in a dataset. Each item in the dataset represents one extracted record with structured fields. You can preview the data in the Output tab's formatted table view.
Key output fields include: URL, Description Html, Description, Scraped At, Location.
Example output:
{"url": "https://example.com/url","descriptionHtml": "Example Description Html","description": "Example Description","scrapedAt": "Example Scraped At","location": "Example Location","errorMessage": "Example Error Message"}
Each run also produces an execution log with detailed information about pages processed, items extracted, and any errors encountered.
Cost of usage
Greenhouse Job Board Scraper uses Pay-Per-Event pricing (Mid tier). Each successfully extracted result costs approximately $0.0008 ($0.75 per 1,000 results).
On a free Apify plan ($5/month platform credit), you can extract approximately 6,666 results per month.
Example: Extracting 1,000 results would cost approximately $0.75.
Tips and advanced usage
- Proxy configuration: This actor uses lightweight HTTP requests for fast, efficient scraping. For sites with rate limiting, the actor automatically rotates proxies.
- Large datasets: For runs with thousands of results, increase the memory allocation in Run Options to speed up processing. The actor automatically manages request queues and pagination.
- Scheduled runs: Use Apify Schedules to run this actor on a recurring basis. Combined with integrations (webhooks, Google Sheets, Slack), you can build automated data pipelines that keep your datasets up to date.
- API access: Every dataset is accessible via the Apify API. Use the REST API or official Python/JavaScript clients to integrate results directly into your applications.
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