Themuse Job Scraper
Pricing
Pay per usage
Themuse Job Scraper
Meet TheMuse Job Scraper! This lightweight Apify actor efficiently extracts job listings directly from TheMuse. Get the latest job data, including titles, companies, and locations, quickly and easily. For best results and reliable scraping, using residential proxies is highly recommended.
Pricing
Pay per usage
Rating
5.0
(1)
Developer
Shahid Irfan
Maintained by CommunityActor stats
0
Bookmarked
10
Total users
3
Monthly active users
11 days ago
Last modified
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The Muse Jobs Scraper
Extract comprehensive job listings from TheMuse.com into clean, structured data for recruiting, market research, and career trend analysis. This scraper delivers complete job postings with company details, descriptions, categories, and location data at scale. Perfect for HR teams, job boards, analysts, and researchers tracking career opportunities.
Features
- Complete Job Data - Collect titles, companies, descriptions, categories, locations, levels, and more from every listing
- Flexible Search - Filter by keyword, location, category, date posted, or provide direct URLs
- Rich Structured Fields - Includes normalized values plus source objects for companies, locations, categories, levels, refs, and pagination metadata
- Configurable Limits - Set maximum results and pages to control run time
- Deduplication - Built-in duplicate detection prevents repeated records
- Export-Ready Output - Clean, normalized JSON with consistent field names
Use Cases
Recruiting and Talent Sourcing
Collect job listings from The Muse to identify companies hiring for specific roles. Build targeted outreach lists based on job types, levels, and locations.
Market Research
Track hiring trends across industries, locations, and company sizes. Analyze which skills and roles are in demand, what compensation ranges appear, and how job requirements evolve over time.
Competitive Intelligence
Monitor job postings from specific companies or industries. Understand hiring patterns, team growth, and strategic priorities based on open positions.
Data Analysis
Build comprehensive datasets for labor market analysis, salary research, and career trend forecasting. Export clean data for BI tools, spreadsheets, or custom pipelines.
Career Research
Collect job listings for personal career exploration. Compare roles, companies, and requirements across your target field in one structured dataset.
Input Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
startUrls | Array | No | [] | List of TheMuse search URLs or public API URLs |
keyword | String | No | - | Job search keyword (e.g., "software engineer") |
location | String | No | - | Location filter (city, region, or Remote) |
datePosted | String | No | "" | Date filter: last_7d, last_30d, last_month |
maxItems | Integer | No | 20 | Maximum jobs to collect (0 = unlimited) |
maxPages | Integer | No | 0 | Maximum pages to paginate (0 = unlimited) |
proxyConfiguration | Object | No | - | Apify Proxy settings |
Output Data
Each dataset item is a single job record with these fields:
| Field | Type | Description |
|---|---|---|
api_url | String | Direct API URL for the job |
api_model_type | String | Source model type |
api_page | Number | Search results page where the job was found |
api_page_count | Number | Total pages reported for the search |
api_total_results | Number | Total matching jobs reported for the search |
categories | Array | Job category names |
category_count | Number | Number of categories on the job |
category_objects | Array | Original category objects from the source |
company | String | Company name |
company_data | Object | Original company object, including ID, name, and slug |
company_id | Number | Company identifier |
company_short_name | String | Company URL slug |
date_posted | String | Publication date (ISO 8601) |
description_html | String | Full job description in HTML |
description_length | Number | Character length of the plain text description |
description_text | String | Plain text job description |
job_category | String | Primary job category |
job_id | Number | Unique job identifier |
job_type | String | Employment type (Full time, Part time, etc.) |
landing_page | String | Job page URL on The Muse |
level_objects | Array | Original career level objects |
level_short_names | Array | Short career level labels |
levels | Array | Career levels (e.g., Senior Level) |
location | String | Primary location |
location_count | Number | Number of locations on the job |
location_objects | Array | Original location objects |
locations | Array | All locations for this job |
publication_date | String | ISO 8601 publication date |
refs | Object | Source reference links |
search_timed_out | Boolean | Whether the search response timed out |
search_took_ms | Number | Search response time reported by the source |
slug | String | URL-friendly job name |
source | String | Data source (api) |
tag_objects | Array | Original tag objects |
tags | Array | Job tags |
title | String | Job title |
url | String | Job page URL |
Usage Examples
Keyword and Location Search
Search for software engineering jobs in a specific city:
{"keyword": "software engineer","location": "New York City","maxItems": 50}
Filter by Date Posted
Get the most recent listings from the past week:
{"keyword": "marketing","location": "Remote","datePosted": "last_7d","maxItems": 100}
Direct API Job URL
Collect data from a specific job posting:
{"startUrls": ["https://www.themuse.com/api/public/jobs/20020349"]}
Multiple Search URLs
Run several searches in one go:
{"startUrls": ["https://www.themuse.com/search/keyword/data_science","https://www.themuse.com/search/location/remote"],"maxItems": 200,"maxPages": 5}
Sample Output
{"job_id": 20020349,"title": "Operations Manager","company": "CVS Health","company_id": 12096,"company_short_name": "cvshealth","company_data": {"id": 12096,"short_name": "cvshealth","name": "CVS Health"},"location": "Greenville, SC","locations": ["Greenville, SC"],"location_count": 1,"job_category": "Retail","categories": ["Retail"],"category_count": 1,"job_type": "Full time","levels": ["Senior Level"],"level_short_names": ["senior"],"tags": [],"publication_date": "2025-09-08T19:37:04Z","date_posted": "2025-09-08T19:37:04Z","url": "https://www.themuse.com/jobs/cvshealth/operations-manager-b547da","landing_page": "https://www.themuse.com/jobs/cvshealth/operations-manager-b547da","slug": "operations-manager-b547da","description_html": "<p>Full job description...</p>","description_text": "Full job description...","description_length": 2476,"api_page": 1,"api_page_count": 5,"api_total_results": 100}
Tips for Best Results
Choose Effective Keywords
- Use specific job titles like "software engineer" or "product manager"
- Try broader terms like "marketing" or "data" for wider results
- Combine with location for targeted searches
Optimize Collection Size
- Start with 20-50 results for testing
- Increase
maxItemsfor production runs - Use
maxPagesto cap API pagination during larger runs
Use Date Filters
- Apply
last_7dfor recent listings - Use
last_30dfor broader time windows - Leave empty to collect all available jobs
Proxy Configuration
For large-scale collection, residential proxies improve reliability:
{"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}
Integrations
Connect your data with:
- Google Sheets - Export for analysis and sharing
- Airtable - Build searchable job databases
- Slack - Get notifications for new listings
- Webhooks - Send to custom endpoints
- Make - Create automated workflows
- Zapier - Trigger actions based on new data
Export Formats
- JSON - For developers and APIs
- CSV - For spreadsheet analysis
- Excel - For business reporting
- XML - For system integrations
Frequently Asked Questions
How many jobs can I collect?
You can collect all available jobs matching your filters. The practical limit depends on the total results on The Muse. Use maxItems to cap the dataset size.
Can I scrape job details?
Yes. The actor automatically fetches each job's full description and metadata from the detail endpoint.
What if data is missing?
Some fields may be empty if the public API doesn't provide that information. The actor fetches full descriptions from each API detail endpoint by default.
Does this actor use proxies?
Proxy usage is optional. For large-scale collection, residential proxies are recommended for better reliability.
How fast is the collection?
The actor uses optimized HTTP requests with connection pooling for fast data retrieval. A typical run of 20 results completes in under a minute.
Can I search by category?
Yes. Use the keyword field with category names, or provide a direct search URL via startUrls.
Support
For issues or feature requests, contact support through the Apify Console.
Resources
Legal Notice
This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with The Muse Terms of Service and applicable laws. Use data responsibly and respect rate limits.