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Themuse Job Scraper

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Pay per usage

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Themuse Job Scraper

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

Shahid Irfan

Maintained by Community

Actor 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

ParameterTypeRequiredDefaultDescription
startUrlsArrayNo[]List of TheMuse search URLs or public API URLs
keywordStringNo-Job search keyword (e.g., "software engineer")
locationStringNo-Location filter (city, region, or Remote)
datePostedStringNo""Date filter: last_7d, last_30d, last_month
maxItemsIntegerNo20Maximum jobs to collect (0 = unlimited)
maxPagesIntegerNo0Maximum pages to paginate (0 = unlimited)
proxyConfigurationObjectNo-Apify Proxy settings

Output Data

Each dataset item is a single job record with these fields:

FieldTypeDescription
api_urlStringDirect API URL for the job
api_model_typeStringSource model type
api_pageNumberSearch results page where the job was found
api_page_countNumberTotal pages reported for the search
api_total_resultsNumberTotal matching jobs reported for the search
categoriesArrayJob category names
category_countNumberNumber of categories on the job
category_objectsArrayOriginal category objects from the source
companyStringCompany name
company_dataObjectOriginal company object, including ID, name, and slug
company_idNumberCompany identifier
company_short_nameStringCompany URL slug
date_postedStringPublication date (ISO 8601)
description_htmlStringFull job description in HTML
description_lengthNumberCharacter length of the plain text description
description_textStringPlain text job description
job_categoryStringPrimary job category
job_idNumberUnique job identifier
job_typeStringEmployment type (Full time, Part time, etc.)
landing_pageStringJob page URL on The Muse
level_objectsArrayOriginal career level objects
level_short_namesArrayShort career level labels
levelsArrayCareer levels (e.g., Senior Level)
locationStringPrimary location
location_countNumberNumber of locations on the job
location_objectsArrayOriginal location objects
locationsArrayAll locations for this job
publication_dateStringISO 8601 publication date
refsObjectSource reference links
search_timed_outBooleanWhether the search response timed out
search_took_msNumberSearch response time reported by the source
slugStringURL-friendly job name
sourceStringData source (api)
tag_objectsArrayOriginal tag objects
tagsArrayJob tags
titleStringJob title
urlStringJob page URL

Usage Examples

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 maxItems for production runs
  • Use maxPages to cap API pagination during larger runs

Use Date Filters

  • Apply last_7d for recent listings
  • Use last_30d for 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


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.