💼 The Muse Jobs Scraper

🚀 Export curated jobs and company profiles from The Muse in seconds. Pull 500,000+ openings across tech, marketing, design, sales, and more. No login, no manual paging, no broken descriptions.

🕒 Last updated: 2026-05-22 · 📊 18 fields per record · 💼 500,000+ jobs · 🏢 60,000+ employers · 🗂️ 30 verified categories

The The Muse Jobs Scraper exports curated job postings from The Muse and returns 18 fields per record, including title, company, location, level, full HTML description, apply link, and posting date. The underlying catalog is one of the most heavily browsed early-career and mid-career job boards in North America, with editorial company profiles attached to every employer.

The catalog covers 30 verified categories, 4 seniority levels, and remote-friendly locations worldwide. This Actor makes that catalog downloadable as CSV, Excel, JSON, or XML in under five minutes. All filters run on the source side, so you skip the paging and parsing entirely.

🎯 Target Audience	💡 Primary Use Cases
Career sites, job aggregators, recruiters, talent intelligence teams, sourcers, career coaches, data journalists	Build a niche job board, enrich a sourcing pipeline, market mapping, competitor hiring trackers, weekly digest emails, talent supply analyses

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📋 What the The Muse Jobs Scraper does

Four filtering workflows in a single run:

• 🌍 Worldwide pull. Every active job in the catalog across all categories and levels.
• 🗂️ Category filter. Restrict to one of 30 verified job functions such as Software Engineering, Design and UX, or Sales.
• 🎚️ Level filter. Internship, Entry Level, Mid Level, or Senior Level.
• 🏢 Company filter. Limit results to a single employer using its display name.

Each record includes the job title, full company name and slug, primary category, all categories, all levels, an array of structured locations, posting date, plain-text description, full HTML description, and the direct apply link.

💡 Why it matters: curated boards filter out the noisiest listings before they reach you. Building a parser yourself means handling category drift, HTML cleanup, and refresh logic. This Actor skips that work and keeps the dataset fresh on every run.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded jobs feed.

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⚙️ Input

Input	Type	Default	Behavior
maxItems	integer	10	Records to return. Free plan caps at 10, paid plan at 1,000,000.
category	string	""	One of 30 verified categories. Empty = all categories.
level	string	""	Internship, Entry Level, Mid Level, or Senior Level. Empty = all levels.
location	string	""	City and state or country, e.g. "New York, NY", "Remote".
company	string	""	Employer display name, e.g. "SpaceX", "Audible, Inc.".

Example: 100 senior software engineering jobs.

{
    "maxItems": 100,
    "category": "Software Engineering",
    "level": "Senior Level"
}

Example: every Audible role in New York.

{
    "maxItems": 200,
    "company": "Audible, Inc.",
    "location": "New York, NY"
}

⚠️ Good to Know: when a job lists multiple categories or levels, the category and level fields contain the primary value and the categories / levels arrays contain the full list. Use the arrays for downstream filtering when an opening spans multiple functions.

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📊 Output

Each job record contains 18 fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

Field	Type	Example
🆔 jobId	string	"d4a1c2e0-1f3b-4a5e-9c6d-7e8f9a0b1c2d"
🏷️ title	string	"Senior Software Engineer, Payments"
🏢 companyName	string	"SpaceX"
🆔 companyId	string	"4a9c5d6e-7f8b-4a1c-9e2d-3f4a5b6c7d8e"
🔗 companyShortName	string	"spacex"
🗂️ category	string	"Software Engineering"
🗂️ categories	array	["Software Engineering", "Data and Analytics"]
🎚️ level	string	"Senior Level"
🎚️ levels	array	["Senior Level"]
📍 locations	array	[{"name": "Hawthorne, CA"}]
📋 jobType	string | null	"FULL_TIME"
📅 publicationDate	string	"2026-05-20T17:42:31.000Z"
🔗 shortName	string	"senior-software-engineer-payments-spacex"
📝 description	string	"We are looking for a Senior Software Engineer..."
📝 descriptionHtml	string	"<p>We are looking for a Senior Software Engineer...</p>"
🔗 applyUrl	string	"https://www.themuse.com/jobs/spacex/senior-..."
🕒 scrapedAt	ISO 8601	"2026-05-22T00:00:00.000Z"
⚠️ error	string | null	null

📦 Sample records

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✨ Why choose this Actor

	Capability
💼	Curated catalog. 500,000+ jobs hand-categorized into 30 verified functions.
🎯	Multi-filter combinations. Category, level, location, and company filters compose freely in one run.
📝	Full HTML descriptions. Every record ships both clean plain text and the original rich HTML body.
🔗	Direct apply links. Send candidates straight to the source listing, no extra hop.
⚡	Fast. 10 jobs in under 5 seconds, 10,000 in under five minutes.
🔁	Always fresh. Every run hits the live catalog, so the dataset reflects current openings.
🚫	No authentication. Works with publicly listed jobs. No login or token needed.

📊 Curated job data is the foundation of every modern talent dashboard, market map, and career discovery feature.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ The Muse Jobs Scraper (this Actor)	$5 free credit, then pay-per-use	500,000+ curated jobs	Live per run	category, level, location, company	⚡ 2 min
Manual browsing on themuse.com	Free	Small per session	Live	Limited UI filters	🐢 Days
Aggregator data feeds	$500+/month	Mixed sources	Hourly	Many	⏳ Hours
Building your own crawler	Engineering cost	Brittle	Breaks often	Custom	🕒 Weeks

Pick this Actor when you want curated coverage, structured filters, and zero pipeline upkeep.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the The Muse Jobs Scraper page on the Apify Store.
3. 🎯 Set input. Pick a category, level, location, or company, and set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

🧲 Recruiters and sourcers Build a daily feed of senior software engineering roles Track openings at a target list of competitor companies Map remote-first hiring across categories Pre-fill candidate outreach with live job titles	🌐 Career sites and aggregators Power a niche board for a single category, e.g. design jobs Embed live openings into a community newsletter Cross-post curated roles to a Slack or Discord Refresh a marketplace listing page every morning
📊 Talent intelligence and analytics Hiring volume per category by week Senior vs entry-level mix at named employers Geographic distribution of remote openings Time-to-fill proxies using posting date deltas	🤖 AI and product teams Train resume-to-job matching models on real titles and descriptions Power autocomplete for company names with verified slugs Feed a search index with cleaned HTML descriptions Benchmark LLM job classification against the source category

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🔌 Automating The Muse Jobs Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Hourly, daily, or weekly refreshes keep downstream job boards in sync automatically.

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Labor-market studies on remote work adoption Sociology research on entry-level career pathways Coursework on text classification with real descriptions Time-series tracking of job titles in emerging fields	🎨 Personal and creative Build a personal job-search dashboard Curate a Discord channel of weekly design roles Run a side-project newsletter for early-career hires Compare cities by hiring volume for a relocation decision
🤝 Non-profit and civic Free job feeds for bootcamp graduates Workforce-development programs for under-served regions Career fairs powered by live employer rosters Investigative reporting on layoff cycles	🧪 Experimentation Train classifiers that predict seniority from a description Test resume-matching pipelines against fresh listings Prototype agents that summarize daily new openings Validate product hypotheses with a real jobs feed

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🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

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❓ Frequently Asked Questions

🧩 How does it work?

Pick a category, level, location, or company in the input form, click Start, and the Actor applies the filters at the source and emits a clean structured record per job. No browser automation, no captchas, no setup.

📏 How fresh is the data?

Every run pulls the live catalog at request time. Schedule the Actor every few hours to keep a downstream board in near-real time.

🗂️ Which categories are supported?

All 30 verified categories from the source, including Software Engineering, Design and UX, Sales, Healthcare, Education, and 25 more. Pick one from the dropdown or leave it blank for the full catalog.

🌐 Can I filter by remote roles?

Yes. Set the location field to Remote and the Actor returns jobs flagged as remote-friendly.

📝 Do I get the full description?

Yes. Each record contains both a plain-text description and a full descriptionHtml field, preserving the source formatting for direct embedding.

⏰ Can I schedule regular runs?

Yes. Use Apify Schedules to run this Actor on any cron interval (hourly, daily, weekly) and keep a downstream database in sync.

⚖️ Is this data legal to use?

The catalog publishes job listings publicly. Review the downstream terms of your specific use case, but publicly listed job postings are generally fair to ingest.

💼 Can I use this data commercially?

Yes. You are responsible for complying with The Muse's terms and with any downstream regulatory requirements in your own product.

💳 Do I need a paid Apify plan to use this Actor?

No. The free Apify plan is enough for testing and small runs (10 records per run). A paid plan lifts the limit and gives you access to scheduling, higher concurrency, and larger datasets.

🔁 What happens if a run fails or gets interrupted?

Apify automatically retries transient errors. If a run still fails, you can inspect the log in the Runs tab, fix the input, and re-run. Partial datasets from failed runs are preserved so you never lose progress.

🆘 What if I need help?

Our support team is here to help. Contact us through the Apify platform or use the Tally form linked below.

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🔌 Integrate with any app

The Muse Jobs Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe job data into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh job data into your applicant tracking system, or alert your team in Slack.

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🔗 Recommended Actors

• 💼 Glassdoor Jobs Scraper - Job listings with company ratings and salary hints
• 🏢 Greenhouse Jobs Scraper - Direct-from-employer postings on Greenhouse
• 🔍 Indeed Scraper - Aggregated job listings across employers
• 👔 LinkedIn Jobs Scraper - Professional job postings with company context
• 🎯 Monster Jobs Scraper - Worldwide job listings with rich detail pages

💡 Pro Tip: browse the complete ParseForge collection for more talent and hiring scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

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⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by The Muse. All trademarks mentioned are the property of their respective owners. Only publicly available job listings are collected.