🛎️ 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.

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

📋 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.

💡 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.

📊 Data fields

Each record includes: address, addressLine2, applicationUrl, applySessionType, categories, city, company, createdDate, distanceInMiles, estimatedWageHigh, estimatedWageLow, estimatedWageMedian, experienceLevel, features, industries, isContractor, isEasyApply, isExpired, isOneClick, isSponsored, jobFitScore, location, logoUrl, normalizedBrandName, normalizedJobTitle, onetCode, postalCode, postingId, postingType, score, skills, stackedJobCount, state, stateCode, title, updateDate, url, wage, wageMax, wageMedian. All 40 field names come from a real production run, so what you see here is what lands in your dataset.

⚠️ 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.

🚀 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.

🔗 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.

⚠️ 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.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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