🛎️ Snagajob Hourly Jobs Scraper

🚀 Export U.S. hourly and part-time job listings in seconds. Search 70,000+ active Snagajob postings by keyword, city, ZIP code, and search radius. Get titles, employers, wages, locations, categories, and 40+ structured fields. No login required.

🕒 Last updated: 2026-05-27 · 📊 40+ fields per record · 🛍️ 70,000+ active jobs · 🇺🇸 U.S. nationwide · 💵 hourly wage data

The Snagajob Hourly Jobs Scraper searches the leading U.S. hourly-work platform and returns 40+ fields per record, including job title, company name, wage range (min, median, max), wage type, full address, ZIP, distance from the search center, categories, industries, required skills, apply URL, and posting metadata. Snagajob has been matching hourly workers with retail, food-service, hospitality, warehouse, and healthcare roles since 2000.

The catalog covers every U.S. state, every metro, and the full retail/foodservice/hospitality/logistics stack, from cashier shifts at a local grocer to warehouse picker and barista roles. This Actor filters by keyword, city or ZIP, and radius (1-100 miles), and ships the result as CSV, Excel, JSON, or XML.

🎯 Target Audience	💡 Primary Use Cases
Recruiters, HR analytics teams, labor-market researchers, gig-economy platforms, journalists, wage-trend trackers, workforce-development non-profits	Hiring-trend dashboards, wage benchmarking, competitor monitoring, lead generation, market sizing, ATS feeds

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📋 What the Snagajob Scraper does

Three filtering workflows in a single run:

• 🔍 Keyword search. Use cashier, warehouse, restaurant, or any role keyword.
• 📍 Location filter. Pass any city + state (Brooklyn, NY) or ZIP (90210).
• 📏 Radius filter. Search within 1 to 100 miles of the entered location.

Each record includes the title, company and normalized brand name, structured wage fields (min/median/max plus a fallback estimated range), full postal address, latitude-friendly distance from the search center, role categories and industries, listed skills, ATS apply URL, and timestamps for when the role was created and last updated.

💡 Why it matters: hourly work is the largest segment of the U.S. labor market. Wage and posting velocity at the ZIP-code level is one of the cleanest signals of local economic health, and historically it's been hidden behind login walls and ATS portals. This Actor surfaces that signal as a structured feed.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset of hourly job listings.

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⚙️ Input

Input	Type	Default	Behavior
maxItems	integer	10	Records to return. Free plan caps at 100, paid plan at 1,000,000.
keyword	string	"cashier"	Role keyword. Single word or short phrase.
location	string	"New York, NY"	City + state, ZIP, or empty for nationwide.
radiusInMiles	integer	20	Search radius in miles. 1 - 100.
proxyConfiguration	object	residential	Apify proxy group selection. Residential is recommended.

Example: 200 warehouse jobs within 25 miles of Atlanta.

{
    "maxItems": 200,
    "keyword": "warehouse",
    "location": "Atlanta, GA",
    "radiusInMiles": 25
}

Example: 500 barista jobs in Los Angeles.

{
    "maxItems": 500,
    "keyword": "barista",
    "location": "Los Angeles, CA",
    "radiusInMiles": 50
}

⚠️ Good to Know: wage fields are populated when the employer published one. Some postings only ship the estimated range (estimatedWageLow, estimatedWageMedian, estimatedWageHigh), which is derived from comparable roles in the same metro. Always treat the structured wage range as the source of truth when present.

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📊 Output

Each job record contains 40+ fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema (key fields)

Field	Type	Example
🏷️ title	string	"Cashier - Part Time"
🏢 company	string	"Trader Joe's"
🏪 normalizedBrandName	string	"trader-joes"
💵 wageText	string	"$16.00 - $18.50 / hour"
💰 wageMin	number | null	16.00
💰 wageMedian	number | null	17.25
💰 wageMax	number | null	18.50
🗂️ wageType	string	"hourly"
📍 location	string	"Brooklyn, NY"
🏠 address	string	"130 Court St"
🏙️ city	string	"Brooklyn"
🏛️ state	string	"New York"
🌐 stateCode	string	"NY"
📮 postalCode	string	"11201"
📏 distanceInMiles	number | null	3.4
🏷️ categories	string[]	["Retail", "Customer Service"]
🏭 industries	string[]	["Grocery"]
⭐ features	string[]	["paidTimeOff", "healthBenefits"]
🛠️ skills	string[]	["POS", "Customer Service"]
🪪 experienceLevel	number | null	1
⚡ isEasyApply	boolean	true
🆔 postingId	string	"j202405xyz"
🔗 url	string	"https://www.snagajob.com/jobs/j202405xyz"
🔗 applicationUrl	string	"https://apply.snagajob.com/..."
🖼️ logoUrl	string	"https://images.snagajob.com/..."
📅 createdDate	ISO 8601	"2026-05-20T14:31:00Z"
📅 updateDate	ISO 8601	"2026-05-25T09:12:00Z"

Additional fields include onetCode, wageSource, estimatedWageMedian, applySessionType, isOneClick, isSponsored, isContractor, isExpired, postingType, stackedJobCount, jobFitScore, and score.

📦 Sample records

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✨ Why choose this Actor

	Capability
🇺🇸	U.S. nationwide. Every state, every metro, every ZIP code with active hourly postings.
💵	Structured wages. Min, median, max, type, and a fallback estimated range. Ready for benchmarking dashboards.
🎯	Tight geo control. City, state, ZIP, and 1-100 mile radius.
🏷️	Categorical metadata. Categories, industries, skills, and features ready for analytics joins.
⚡	Parallel pagination. 30 records per page, multiple pages in parallel, full result sets in minutes.
🔁	Always fresh. Every run pulls the live Snagajob index at run time.
🚫	No login. Uses publicly viewable search results only.

📊 Hourly-wage and posting-velocity data at ZIP-code granularity is one of the cleanest leading indicators of local labor demand.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Snagajob Scraper (this Actor)	$5 free credit, then pay-per-use	70,000+ hourly jobs	Live per run	keyword, city, ZIP, radius	⚡ 2 min
Government labor data (BLS)	Free	National aggregates	Monthly	Coarse industry codes	🐢 Manual download
Subscription wage-data vendors	$1,000+/month	Full coverage	Quarterly	Many	⏳ Sales cycle
Manual Snagajob browsing	Free	All postings	Live	UI only	🐢 No automation

Pick this Actor when you need granular, live hourly-job posting data without the licensing overhead.

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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 Snagajob Scraper page on the Apify Store.
3. 🎯 Set input. Pick a keyword, location, and radius, 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 & staffing agencies Build a daily feed of new openings in target metros Sync to your ATS to identify competitive postings Sourcing pipelines by category (warehouse, food, retail) Wage-benchmark new openings vs. local averages	📊 Labor-market analytics Wage-trend dashboards by ZIP and category Posting-velocity time series as a leading indicator Compare metros on minimum-wage versus posted wages Track shift-work demand following macro events
🏪 Brand & competitive intelligence Monitor competitor hiring footprint by city Track store expansion via location-tagged postings Surface new-market entrants and pop-up locations Benchmark posted wages against your own offers	📰 Journalism & policy research "Where are the jobs?" geographic reporting Wage-trend coverage with real, recent postings Workforce-shortage stories with hard numbers Cross-reference policy changes with hiring spikes

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🔌 Automating Snagajob 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 or daily refreshes for a fixed keyword + city combo build a continuously updated posting log you can hand to BI.

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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 Economics theses on hourly-wage geography Labor-economics papers with live posting data Coursework in data science using real ZIP-level wages Reproducible studies of gig and hourly market trends	🎨 Personal and creative Job-board side projects and niche local boards Visualizations of wage geography for portfolios Newsletters covering hourly-work trends in a city Personal tools to compare commute + wage trade-offs
🤝 Non-profit and civic Workforce-development orgs matching trainees to roles City-government dashboards on local employer demand Refugee-resettlement and re-entry programs sourcing leads Living-wage advocacy with current posted-wage evidence	🧪 Experimentation Train NLP models on real hourly job descriptions Benchmark salary-prediction models with live data Prototype recommendation engines for hourly workers Test agent pipelines that resolve job descriptions to skills

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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?

You enter a keyword (e.g. cashier), a location, and a radius, then click Start. The Actor browses the live Snagajob search index and emits one clean JSON record per posting. No setup, no captchas, no login.

📍 Can I search nationwide?

Yes. Leave the location field empty (or pass a single state code) and the search will widen accordingly. For very broad searches, raise maxItems to pull more of the result set.

💵 Are wages always populated?

Most active postings include either a published wage range or an estimated range. The Actor returns both wageMin/wageMedian/wageMax (published) and estimatedWageLow/estimatedWageMedian/estimatedWageHigh (model). Either will be null if not available.

🏷️ How accurate are categories and industries?

They come straight from Snagajob's classification system. Categories like Retail, Warehouse, and Food Service are consistent across postings and stable for analytics joins.

🔁 How often is the data refreshed?

Snagajob updates continuously as employers post new roles. Every run of this Actor hits the live search index, so your dataset reflects current openings at run time.

🛂 Do I need to log in?

No. The Actor uses publicly viewable search results only. No Snagajob account is required.

⏰ 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 Actor collects only publicly viewable listings. Review the latest Snagajob terms for your specific use case (commercial redistribution, large-scale aggregation, etc.) and your downstream regulatory requirements.

💳 Do I need a paid Apify plan?

No. The free Apify plan is enough for testing and small runs (up to 100 records). A paid plan lifts the limit and gives you scheduling, higher concurrency, and larger datasets.

🔁 What happens if a run fails or returns no jobs?

The Actor retries multiple sessions and rotates outbound connections. If a run still returns zero jobs, the search may simply have no matches; try widening the radius or the keyword.

🆘 What if I need help?

Contact us through the Apify platform or use the Tally form linked below.

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🔌 Integrate with any app

Snagajob 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 records 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 hourly job data into your ATS, or alert recruiters in Slack when new postings appear in a target city.

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🔗 Recommended Actors

• 💼 Monster Scraper - U.S. full-stack job postings
• 🧑‍💼 Indeed Scraper - The largest U.S. job aggregator
• 🌟 Glassdoor Jobs Scraper - Company-rated job postings
• 🚀 SimplyHired Scraper - Aggregated hourly and salaried roles
• 📦 ZipRecruiter Scraper - Tech-driven matching across U.S. jobs

💡 Pro Tip: browse the complete ParseForge collection for more job-market 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 Snagajob.com or any of its parent or subsidiary companies. All trademarks mentioned are the property of their respective owners. Only publicly available job-listing data is collected.