Themuse Job Scraper

What does TheMuse Job Scraper do?

TheMuse Job Scraper collects public job listings from TheMuse.com and saves each result as a structured dataset item. Enter a keyword, location, and optional posting-date filter, or provide The Muse search and job URLs directly. Each record includes the job title, company, locations, categories, career levels, tags, publication date, source links, and full description text when available.

This TheMuse jobs scraper is useful for recruiting research, hiring intelligence, job-board aggregation, labor-market analysis, and recurring monitoring of roles published on The Muse.

Why use TheMuse Job Scraper?

• Targeted job searches - Filter listings by keyword, location, and posting date.
• Direct URL support - Start with a The Muse search URL, public job-search URL, or individual public job URL.
• Detailed job records - Get descriptions, company information, locations, categories, levels, tags, dates, and source references in one dataset.
• Controlled collection size - Set both a maximum number of jobs and a pagination limit for predictable runs.
• Research-ready exports - Download results as JSON, CSV, Excel, XML, or other formats available in Apify datasets.
• Repeatable workflows - Schedule runs, connect webhooks, or access completed datasets through the Apify API.

What data can you extract from TheMuse.com?

Each dataset item represents one job listing. The output combines the main listing data with source objects and search-result metadata.

Field	Type	Description
title	String	Job title.
job_id	Number	Unique The Muse job identifier.
company	String	Employer name.
company_id	Number	Employer identifier when available.
company_short_name	String	Company URL slug.
company_data	Object	Source company information, such as ID, name, and slug.
location	String	Combined primary location text.
locations	Array	All published job locations.
location_count	Number	Number of locations in locations.
location_objects	Array	Source location objects.
job_category	String	Combined primary category text.
categories	Array	Job category names.
category_count	Number	Number of categories in categories.
category_objects	Array	Source category objects.
job_type	String	Employment type, such as full time or part time.
levels	Array	Career level labels.
level_short_names	Array	Short career-level labels.
level_objects	Array	Source career-level objects.
tags	Array	Job tags published by The Muse.
tag_objects	Array	Source tag objects.
publication_date	String	Publication timestamp in ISO 8601 format.
date_posted	String	Same posting timestamp in a convenient field.
url	String	Public The Muse job-page URL.
landing_page	String	Source landing-page URL.
api_url	String	Public source URL for the job record.
description_text	String	Plain-text job description.
description_html	String	Formatted description when available.
description_length	Number	Character count of description_text.
refs	Object	Source reference links.
slug	String	URL-friendly job name.
source	String	Source label for the record.
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.
search_took_ms	Number	Search duration reported by the source.
search_timed_out	Boolean	Whether the source reported a search timeout.

How to use TheMuse Job Scraper

1. Open the Actor in Apify Console.
2. Enter a keyword and optional location, or add one or more The Muse URLs in startUrls.
3. Select a posting-date range if you only need recent jobs.
4. Set maxItems and, for larger searches, maxPages.
5. Start the run and review the dataset preview.
6. Download the results or connect the dataset to your recruiting, research, or monitoring workflow.

With no filters, the Actor collects the available results using the default limit of 20 jobs. A maxItems value of 0 means no item cap, while a maxPages value of 0 allows pagination to continue until no more results are returned.

Input Parameters

Parameter	Type	Required	Default	Description
startUrls	Array	No	[]	The Muse search URLs, public job-search URLs, or individual public job URLs.
keyword	String	No	software engineer	Job title, skill, or search term used to find listings.
location	String	No	-	City, region, country, or Remote filter.
datePosted	String	No	""	Posting-date filter: last_7d, last_30d, or last_month. Leave empty for all available dates.
maxItems	Integer	No	20	Maximum number of job records to save. Use 0 for unlimited collection.
maxPages	Integer	No	0	Maximum number of result pages to process. Use 0 to continue until results are exhausted or maxItems is reached.
proxyConfiguration	Object	No	{"useApifyProxy": false}	Optional Apify Proxy settings for request routing.

Output Data

The Actor writes one job record per dataset item. Empty fields can occur when a listing does not publish that information.

Field group	Included data
Job identity	job_id, title, slug, url, landing_page, api_url
Employer	company, company_id, company_short_name, company_data
Location	location, locations, location_count, location_objects
Classification	job_type, job_category, categories, category_count, category_objects, levels, level_short_names, level_objects, tags, tag_objects
Description	description_text, description_html, description_length
Dates and search metadata	publication_date, date_posted, api_page, api_page_count, api_total_results, search_took_ms, search_timed_out
Source metadata	source, api_model_type, refs

Usage Examples

Basic Keyword Search

Collect software engineering jobs using the default location and page settings:

{
  "keyword": "software engineer",
  "maxItems": 20
}

Location and Date Filter

Collect recent marketing jobs listed for remote work:

{
  "keyword": "marketing manager",
  "location": "Remote",
  "datePosted": "last_7d",
  "maxItems": 100,
  "maxPages": 5
}

Search URLs and Direct Job URLs

Process several public The Muse URLs in one run. The list can contain search URLs and individual job detail URLs:

{
  "startUrls": [
    "https://www.themuse.com/search/keyword/data_science",
    "https://www.themuse.com/search/location/remote",
    "https://www.themuse.com/api/public/jobs/20020349"
  ],
  "maxItems": 100,
  "maxPages": 5
}

Larger Scheduled Collection

Use a higher item and page limit for a recurring labor-market dataset:

{
  "keyword": "data analyst",
  "location": "United States",
  "datePosted": "last_30d",
  "maxItems": 500,
  "maxPages": 25,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Sample Output

The following example shows the main fields in one dataset item. Source objects and descriptions can vary by listing.

{
  "source": "api",
  "api_model_type": "Job",
  "job_id": 20020349,
  "slug": "operations-manager-b547da",
  "title": "Operations Manager",
  "company": "CVS Health",
  "company_id": 12096,
  "company_short_name": "cvshealth",
  "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",
  "api_url": "https://www.themuse.com/api/public/jobs/20020349",
  "description_text": "Full job description...",
  "description_length": 2476,
  "api_page": 1,
  "api_page_count": 5,
  "api_total_results": 100,
  "search_took_ms": 42,
  "search_timed_out": false,
  "refs": {
    "landing_page": "https://www.themuse.com/jobs/cvshealth/operations-manager-b547da"
  }
}

Tips for Best Results

• Start with a focused term - Use a specific title such as software engineer, product manager, or data analyst before trying broader terms.
• Add a location when needed - Use a city, region, country, or Remote to reduce unrelated results.
• Test with a small limit - Begin with 20 to 50 items, confirm the fields you need, then increase maxItems.
• Control pagination - Set maxPages when you want a predictable run size or when testing a broad search.
• Use date filters for monitoring - last_7d is useful for fresh listings, while last_30d and last_month provide wider coverage.
• Review source links - Use url or landing_page to open the original listing and confirm important details.
• Expect source-dependent fields - Salary, tags, levels, descriptions, and location details may be empty when The Muse does not publish them.

Integrations and Export Formats

• Google Sheets - Review, sort, and share job datasets with a recruiting or research team.
• Airtable - Build a searchable table of companies, roles, locations, and posting dates.
• Webhooks - Send completed-run notifications or dataset records to another service.
• Make and Zapier - Trigger alerts, enrichment, classification, or reporting workflows.
• Apify API - Retrieve dataset items programmatically after a run.
• JSON, CSV, Excel, and XML - Download the dataset in a format suited to applications, spreadsheets, reporting, or system exchange.

Frequently Asked Questions

Can I collect jobs without a keyword?

Yes. Leave keyword empty and use location, startUrls, or both. If no filters are provided, the Actor starts with the default collection settings.

Can I collect one specific job?

Yes. Add its public The Muse API detail URL, such as https://www.themuse.com/api/public/jobs/20020349, to startUrls.

Which date filters are supported?

The input supports last_7d, last_30d, and last_month. Leave datePosted empty when you want to keep listings regardless of publication date.

How many jobs can I collect?

You can collect up to the available matching results or the maxItems value, whichever comes first. Set maxItems to 0 for no item cap and use maxPages to limit pagination if required.

Why is a field empty?

A field can be empty when the source listing does not provide that information. Check several records before treating a missing value as a collection problem.

Can I run this Actor on a schedule?

Yes. Create a schedule in Apify Console to repeat a search daily, weekly, or at another interval, then export the new dataset or trigger a webhook.

Can I export the results to CSV or Excel?

Yes. Apify datasets can be downloaded as CSV, Excel, JSON, XML, and other supported formats.

Is it legal to collect The Muse job data?

Public data collection can be subject to website terms, applicable laws, and privacy rules. You are responsible for using the data lawfully, respecting The Muse requirements, and avoiding misuse of personal information.

Related Actors

• APEC Jobs Scraper - Collect structured job offers from the APEC employment platform.
• LinkedIn Job Scraper - Search LinkedIn job listings by keyword, location, and posting period.
• USA Jobs Scraper - Collect federal job listings with agency, salary, location, and application data.
• Talent Job Scraper - Gather job postings from Talent.com for research and monitoring workflows.

Support

For issues, feature requests, or questions about a run, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is intended for legitimate collection of publicly available job information. You are responsible for complying with The Muse Terms of Service, applicable laws, privacy requirements, and any restrictions that apply to your use of the collected data.