How Many Handyman/Handywoman/Handypeople are in Incheon, South Korea?
There are 11 Handyman/Handywoman/Handypeople in Incheon, South Korea.
Data last updated on June, 2025.
BUY THIS DATASample Handyman/Handywoman/Handyperson Listings
Explore 10 random Handyman/Handywoman/Handyperson listings from our dataset. Click on any contact icon for more details or to request your free sample.
| Name | City | State | Country | Phone | Website | Ratings | Reviews | |
|---|---|---|---|---|---|---|---|---|
| 24시용달,퀵서비스,다마스퀵,라... | Seo-gu | Incheon | South Korea | ☎ | ✉ | 🔗 | 0 | 0 |
| 24시퀵,오토,다마,라보,1톤용달 | 인천시 | Incheon | South Korea | ☎ | ✉ | 🔗 | 0 | 0 |
| 24시용달,퀵서비스,다마스퀵,라... | Bupyeong District | Incheon | South Korea | ☎ | ✉ | 🔗 | 0 | 0 |
| 24시퀵,오토,다마,라보,1톤용달 | 인천시 | Incheon | South Korea | ☎ | ✉ | 🔗 | 0 | 0 |
| 리웍코리아(REWORK KOREA) | Bupyeong District | Incheon | South Korea | ☎ | ✉ | 🔗 | 5 | 1 |
| 아이폰위드 액정전문 부평아이폰... | Incheon | South Korea | ☎ | ✉ | 🔗 | 0 | 0 | |
| 이노웍스 | Incheon | South Korea | ☎ | ✉ | 🔗 | 0 | 0 |
Complete Handyman/Handywoman/Handyperson Dataset Fields Overview
Handyman/Handywoman/Handypeople Data for Cities in Incheon
Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.
| City | Listings | Percentage |
|---|---|---|
| Incheon | 2 | 18.18% |
| Bupyeong District | 2 | 18.18% |
| 인천시 | 2 | 18.18% |
| Seo-Gu | 1 | 9.09% |
What Data Do We Provide?
Our dataset for Handyman/Handywoman/Handypeople in Incheon is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 11 listings. This includes:
- Essential business details (name, address, and operational hours)
- Verified contact information (phone, email, and website)
- Customer engagement metrics (ratings and reviews)
- Precise geolocation data (latitude, longitude, and regional distribution)
- Additional attributes like categories, pricing, and more
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Poidata' dataset empowers you to reach the right audience through multiple channels. Here are some key ways our data can give you a competitive edge:
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Train models with structured data and real user reviews for improved sentiment analysis, NER, and recommendations.
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Evaluate commercial potential and foot traffic by analyzing nearby businesses and activity trends.
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Optimize marketing by studying GMB listings, ratings, and categories used by top-performing competitors.
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Find and reach businesses using phone numbers, websites, and category filters for smarter prospecting.
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Integrating these strategies can significantly boost your marketing efficiency, lead quality, and business insights.
Need More Details?
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