List of Cleaning services in Lithuania
There are 89 Cleaning services in Lithuania as of August, 2025. The highest number of Cleaning services of Lithuania are in Vilnius City Municipality and Kaunas City Municipality with 27 businesses and 13 businesses, respectively. Vilnius City Municipality makes up approximately 30.3% of all Cleaning services in the Lithuania.
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Sample Data
Preview of Cleaning service businesses in Lithuania
| Business Name | City | Rating | Reviews | Phone | Website | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
|
A.Sabonio švaros cen...
|
Kaunas
|
★
4.0
|
23
|
Not available | *****@svaroscentras.lt | svaroscentras.lt |
**.****
|
**.****
|
|
Egluna
|
Vilnius
|
★
3.0
|
12
|
(*-6*2) *4*8* | *****@egluna.lt | egluna.lt |
**.****
|
**.****
|
|
Muilo Burbulas, Mink...
|
Kaunas
|
★
5.0
|
10
|
(*-6*0) *3*9* | Not available |
**.****
|
**.****
|
|
|
EUROVALYMAS UAB
|
Kaunas
|
★
4.0
|
10
|
(*-3*) 3*7*7* | *****@eurovalymas.lt | eurovalymas.lt |
**.****
|
**.****
|
|
Švaros Šalis - Valym...
|
Kaunas
|
★
2.0
|
6
|
(*-6*3) *3*7* | *****@svarossalis.lt | svarossalis.lt |
**.****
|
**.****
|
Get access to all 84 remaining Cleaning services with complete contact information, addresses, and business details.
Get Complete List (89 Businesses)Which states have the most Cleaning services in Lithuania?
Highest concentration of Cleaning services
| State | Business Count | Percentage |
|---|---|---|
| Vilnius City Municipality |
27
|
30.3%
|
| Kaunas City Municipality |
13
|
14.6%
|
| Klaipeda City Municipality |
10
|
11.2%
|
| Šiauliai City Municipality |
6
|
6.7%
|
| Vilnius District Municipality |
3
|
3.4%
|
| Panevėžys City Municipality |
3
|
3.4%
|
| Klaipėda District Municipality |
3
|
3.4%
|
| Alytus City Municipality |
2
|
2.2%
|
| Utena District Municipality |
2
|
2.2%
|
| Palanga City Municipality |
1
|
1.1%
|
| Marijampolė Municipality |
1
|
1.1%
|
| Prienai District Municipality |
1
|
1.1%
|
| Radviliškis District Municipality |
1
|
1.1%
|
| Rokiškis District Municipality |
1
|
1.1%
|
| Telšiai District Municipality |
1
|
1.1%
|
| Šilutė District Municipality |
1
|
1.1%
|
| Kupiškis District Municipality |
1
|
1.1%
|
| Kaunas District Municipality |
1
|
1.1%
|
| Alytus District Municipality |
1
|
1.1%
|
| Neringa Municipality |
1
|
1.1%
|
Which cities have the most Cleaning services in Lithuania?
Cities with most Cleaning services
| City | Business Count | Percentage |
|---|---|---|
|
Vilnius
|
27
|
30.3%
|
|
Kaunas
|
13
|
14.6%
|
|
Klaipėda
|
10
|
11.2%
|
|
Šiauliai
|
6
|
6.7%
|
|
Panevėžys
|
3
|
3.4%
|
|
Alytus
|
2
|
2.2%
|
|
Utena
|
2
|
2.2%
|
|
Alytus
|
1
|
1.1%
|
|
Karmėlava
|
1
|
1.1%
|
|
Gargždai
|
1
|
1.1%
|
|
Mazūriškiai
|
1
|
1.1%
|
|
Trušeliai
|
1
|
1.1%
|
|
Salamiestis
|
1
|
1.1%
|
|
Marijampolė
|
1
|
1.1%
|
|
Pervalka
|
1
|
1.1%
|
|
Palanga
|
1
|
1.1%
|
|
Prienai
|
1
|
1.1%
|
|
Radviliškis
|
1
|
1.1%
|
|
Juodupė, Rokiškio rajonas
|
1
|
1.1%
|
|
Telšiai
|
1
|
1.1%
|
|
Vanaginė
|
1
|
1.1%
|
|
Vilnius
|
1
|
1.1%
|
|
Zujūnai
|
1
|
1.1%
|
|
Šilutė
|
1
|
1.1%
|
What Data Do We Provide?
Our list for Cleaning services in Lithuania is one of the most comprehensive in the industry. As of August, 2025, we have compiled data on 89 verified listings.
Essential Business Details
Complete business name, full address, and operational hours for all 89 Cleaning services
Contact Information
Direct phone numbers, email addresses, and website URLs for Cleaning services across Lithuania
Customer Engagement Metrics
Average ratings, total review counts, and customer feedback data from Cleaning services in Lithuania
Precise Geolocation Data
Exact latitude/longitude coordinates and regional distribution across 20 states in Lithuania
Complete Data Fields for Cleaning services in Lithuania:
Each of the 89 Cleaning services records includes:
Business Attributes
Common features and services (10+ businesses)
payment methods
services
amenities
business type
other
How You Can Use Cleaning services Data from Lithuania
Our comprehensive list of 89 Cleaning services in Lithuania empowers you to reach the right audience through multiple channels. Here are key ways this data can give you a competitive edge in the Cleaning services industry.
Geospatial Analysis & Hotspot Detection
Perform advanced spatial analysis to identify business clusters, service gaps, and market saturation patterns across 20 states in Lithuania using precise coordinate data from 89 Cleaning services.
Market Research & Competitive Analysis
Analyze trends, saturation, and competitor presence across 20 states in Lithuania to uncover underserved areas and high-potential markets for Cleaning services.
Lead Generation & Sales Prospecting
Find and reach Cleaning services in Lithuania using verified phone numbers, websites, and category filters for smarter, targeted prospecting.
Location Intelligence & Expansion Planning
Plan new Cleaning services openings or rollouts using density maps and insights from our 89 listings to target low-competition, high-demand zones in Lithuania.
AI & NLP Model Training
Train machine learning models with structured data and real user reviews from 89 Cleaning services for improved sentiment analysis and recommendation systems.
Real Estate & Investment Insights
Evaluate commercial potential in Lithuania by analyzing the distribution of Cleaning services across 24 cities and their activity trends.
Email Marketing Campaigns
Run targeted email campaigns to Cleaning services in Lithuania using verified email addresses for personalized outreach and improved conversion rates.
Cold Calling & Telemarketing
Use up-to-date phone numbers from our 89 Cleaning services database to initiate effective conversations and improve call conversion rates.
Direct Mail Marketing
Send promotional materials to Cleaning services across Lithuania using accurate mailing addresses for targeted delivery and higher response rates.
Social Media Outreach
Engage Cleaning services in Lithuania via Instagram, LinkedIn, or Facebook using curated profile data for multi-channel marketing.
Footfall & Demand Estimation
Estimate local foot traffic and demand by analyzing the concentration of Cleaning services in specific regions of Lithuania and their popularity metrics.
Local SEO & Digital Services
Optimize marketing strategies for Cleaning services by studying GMB listings, ratings, and categories used by top-performing competitors in Lithuania.
Mapping & Navigation Integration
Add Cleaning services POI data to your apps for delivery, logistics, or travel using accurate coordinates from 89 verified locations in Lithuania.
Common questions about Cleaning services in Lithuania
How many Cleaning services are there in Lithuania?
There are 89 Cleaning services in Lithuania as of August, 2025.
Which state has the most Cleaning services in Lithuania?
Vilnius City Municipality has the most Cleaning services with 27 businesses, about 30% of the total.
How many Cleaning services in Lithuania have a phone number?
88 of the 89 Cleaning services (99%) have a phone number.
How many Cleaning services in Lithuania have an email address?
Email addresses are collected from each business's website after you order - typically 60-70% are collectable, and the final count is confirmed after enrichment. Based on the website count, the working estimate is about 46 of the 89 Cleaning services (52%).
How many Cleaning services in Lithuania have a website?
66 of the 89 Cleaning services (74%) have a website.
How many Cleaning services in Lithuania do not have a website?
23 of the 89 Cleaning services (26%) have no website listed.
How many Cleaning services in Lithuania list their opening hours?
66 of the 89 Cleaning services (74%) list opening hours.
What data fields are included for Cleaning services in Lithuania?
Each of the 89 records includes business name, full address, phone number, website, email address, customer rating, review count, opening hours, geographic coordinates and business categories.
How do I target Cleaning services through Facebook ad campaigns?
By uploading our Cleaning services dataset, you can effortlessly reach the right target audience, optimize your ad campaigns, and increase your conversion rate.
How do I target Cleaning services through Google ad campaigns?
By uploading our Cleaning services dataset, you can effortlessly reach the right target audience through Google Ads, optimize your ad campaigns, and maximize your ROI.
How do email addresses of Cleaning services assist in online marketing?
With the email addresses of Cleaning services, you can reach your audience directly, ensuring your messages land in the inboxes of potential customers, leading to increased engagement and conversion rates.
How do phone numbers of Cleaning services help businesses?
Whether for cold calling campaigns or personalized messaging, having accurate phone numbers allows you to establish meaningful connections.
How does the mailing address data of Cleaning services support marketing strategies?
The mailing address data of Cleaning services ensures that your promotional materials reach the hands of potential customers, driving engagement and brand recognition.
Can I download a free sample of the Cleaning service data?
Yes. A free sample workbook is available without an account, and you can also request a sample built for a specific country through our contact form.
In what formats can I download the Cleaning service data?
The dataset is delivered as CSV, Esri Shapefile, Excel, GeoJSON, or KML (Google Earth) file formats.
How much does the Cleaning service data cost?
Pricing starts from $49 and scales with the number of records. Request a quote through our contact form and we will confirm the price for your selection.
How can I get the Cleaning service data for Lithuania?
You can request a free sample through our contact form, or request the complete dataset of 89 businesses with contact details by contacting our sales team.
Email addresses are collected from each business's website after you order. Typically 60–70% are collectable, and the final count is confirmed after enrichment.
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How can I download a list of Cleaning services in Lithuania into Excel?
You can download the complete list of 89 Cleaning services data as an Excel file, along with geo-coded addresses, phone numbers and open hours by contacting our sales team.