The Muse Jobs Scraper
Pricing
from $2.00 / 1,000 results
The Muse Jobs Scraper
Scrape job listings from The Muse - quality roles from established companies. Filter by keyword, category, seniority level and location. Paginates automatically. Built for recruiters and job aggregators.
Pricing
from $2.00 / 1,000 results
Rating
0.0
(0)
Developer
Logiover
Maintained by CommunityActor stats
0
Bookmarked
22
Total users
5
Monthly active users
8 hours ago
Last modified
Categories
Share
πΌ The Muse Jobs Scraper β Company Jobs & Careers Data to JSON/CSV/Excel

Scrape job listings from The Muse β a popular US job board known for strong company-culture content and quality professional roles β straight from its official public API. This The Muse jobs scraper extracts job title, company, categories, seniority level, locations and apply URLs, and exports everything to JSON, CSV or Excel. No login, no API key, no blocking.
Filter by keyword, category, seniority level and location, and let the Actor auto-paginate the entire result set. Built for scheduled, recurring use, it keeps recruiters, sourcers and job aggregators supplied with an always-fresh feed of professional job openings.
β¨ What this Actor does / Key features
- Official The Muse API β fast, reliable and fully paginated; no fragile HTML parsing.
- Rich data per job β title, company, categories, seniority levels, locations, job type, description, publication date and apply URL.
- Keyword search β free-text matching against title, company and description.
- Category filter β narrow to fields like
Engineering,Data Science,Marketing,Sales,Design,Accounting and Finance. - Seniority filter β target
Entry Level,Mid Level,Senior LevelorManagementroles. - Location filter β filter by location text such as
New YorkorRemote. - Automatic pagination β fetches ~20 jobs per page and crawls every page until your limits; set
maxJobsandmaxPagesto0for everything. - Structured, export-ready output β flat JSON records, ideal for JSON, CSV, Excel, ATS, CRM or BI tools.
π Input
| Field | Type | Description |
|---|---|---|
searchKeyword | string | Free-text keyword matched against job title, company and description. Leave empty for all jobs. |
categories | array | Filter by category, e.g. Engineering, Data Science, Marketing, Sales, Accounting and Finance, Design. Leave empty for all. |
levels | array | Filter by seniority level, e.g. Entry Level, Mid Level, Senior Level, Management. Leave empty for all. |
location | string | Filter by location text, e.g. New York, Remote. Leave empty for all. |
maxJobs | integer | Maximum matching jobs to save. 0 = all. |
maxPages | integer | Maximum API pages to fetch (~20 jobs per page). 0 = all. |
π Example input
{"categories": ["Software Engineering"],"levels": ["Senior Level"],"location": "Remote","maxJobs": 0,"maxPages": 0}
Search by keyword across all categories:
{"searchKeyword": "product manager","maxJobs": 300,"maxPages": 20}
π¦ Output
Each item in the dataset is one job listing from The Muse. Output is flat, structured JSON β easy to export to CSV or Excel or push into a database.
| Field | Description |
|---|---|
jobId | Unique identifier for the job on The Muse. |
title | Job title. |
company | Name of the hiring company. |
categories | Array of categories the job belongs to (e.g. Software Engineering). |
levels | Array of seniority levels for the role. |
locations | Array of locations where the job is offered. |
jobType | Type of job (e.g. full-time), where available. |
description | Job description text. |
url | Direct link to the job posting / apply page. |
publishedAt | Publication date of the listing. |
scrapedAt | ISO timestamp of when the record was scraped. |
Example output record
{"jobId": "12345","title": "Senior Software Engineer","company": "Acme Corp","categories": ["Software Engineering"],"levels": ["Senior Level"],"locations": ["New York, NY", "Remote"],"jobType": "full-time","description": "We are looking for a Senior Software Engineer...","url": "https://www.themuse.com/jobs/acmecorp/senior-software-engineer","publishedAt": "2026-05-10T09:00:00Z","scrapedAt": "2026-05-15T08:30:00.000Z"}
π‘ Use cases
- Recruiters & sourcers β maintain a fresh feed of professional roles filtered by category and seniority level.
- Job boards & aggregators β keep a curated jobs section automatically current with quality listings.
- Market & hiring researchers β track hiring trends by company, category and seniority over time.
- Lead generation β identify companies that are actively hiring for specific roles.
- Talent-intelligence teams β analyze the professional job market by location, category and level.
β Frequently Asked Questions
Do I need a The Muse API key or login? No. The Actor uses The Muse's official public API and requires no API key, account or login.
Is it legal to scrape The Muse? The Actor reads publicly available job listings via The Muse's official public API, which is intended for programmatic access. You are responsible for complying with The Muse's terms of service and for how you use the data.
How many jobs can I get?
The Actor auto-paginates the entire result set for your filters. Set maxJobs and maxPages to 0 to pull every available listing, or set smaller numbers for a faster, capped run.
Can I filter by category, seniority or location?
Yes. Use categories, levels and location together with the free-text searchKeyword to target exactly the roles you want. Leave any filter empty to include all values.
How fast is it and how much does it cost? It runs as fast API requests and completes quickly even for large result sets. Cost depends only on the small amount of Apify compute used; there are no third-party fees.
Can I schedule it to run automatically? Yes. Use the Apify Scheduler to run the Actor daily (or more often) for an always-fresh professional-jobs feed.
What output formats are supported? Results are stored in an Apify dataset and can be exported to JSON, CSV, Excel or XML, or pulled via the Apify API.
β° Scheduling & integration
Schedule this Actor on Apify to run daily for a continuously updated professional-jobs feed. Export results to JSON, CSV or Excel, pull them through the Apify API, or connect the dataset to Google Sheets, webhooks or your ATS / CRM for automated recruitment workflows.