Company lists · Data refreshed September 2026
Top 10 Hourly house cleaners based in Denmark
RevenueBase identified 57 hourly house cleaners headquartered in Denmark as of September 2026 and tracks 165 professional contacts across them, including 15 with verified work emails. Copenhagen is the largest hub.
This list covers hourly house cleaners headquartered in Denmark, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 20, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 10 largest hourly house cleaners based in Denmark
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 21 contacts → | ||||
Indirect evidence “I 2012 blev Team Rengøring I/S skiftet af Tim Jepsen og Martin Olsen, begge med en fælles passion om at forbedre serviceniveauet i rengøringsbranchen.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 2 | 12 contacts → | ||||
Indirect evidence “Ren Service A/S Nylandsvej 12 8600 Silkeborg Tlf: 86811010 Ren Service A/S tilbyder alt indenfor: Rengøring Vinduespolering Ejendomsservice & Viceværtopgaver MåtteService…” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 3 | 11 contacts → | ||||
Indirect evidence “Flenco er et familiedrevet rengøringsfirma som har indehaverne Alice og Heidi i spidsen.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 4 | 7 contacts → | ||||
Indirect evidence “ABJ Rengøring er et professionelt rengøringsfirma, der tilbyder omfattende rengøringsservices til både private hjem og erhvervskunder.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 5 | 4 contacts → | ||||
Indirect evidence “SaniService tilbyder trapperengøring, rengøring af flyttelejligheder, rengøring af Jeres vaskeri/fælleslokaler og vinduespolering tilpasset dit behov og ingen opgave er for lille…” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 6 | 4 contacts → | ||||
Indirect evidence “A service company within the commercial properties and private homes sectors, our greatest ambition is to deliver high quality cleaning services.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 7 | 3 contacts → | ||||
Indirect evidence “Rengøring for erhverv og ejendomsservice.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 8 | 2 contacts → | ||||
Indirect evidence “Rengøringsfirmaet Thomas Bidstrup blev startet i slutningen af 2004 og har i dag en sund og stabil håndfuld dygtige medarbejdere.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 9 | 2 contacts → | ||||
Indirect evidence “Vi mener, at rengøring skal være i overensstemmelse med en virksomheds standarder og omdømme.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 10 | 2 contacts → | ||||
Indirect evidence “Hos Teknisk Rengøring ApS tilbyder vi erhvervsrengøring til både små og store virksomheder, foreninger og institutioner.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: hourly house cleaners. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names hourly house cleaners.
- Partial evidence
- Its own public description names part of hourly house cleaners, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name hourly house cleaners. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 10 of 57 hourly house cleaners based in Denmark
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Hourly house cleaners based in Denmark at a glance
As of Sep 20, 2026Companies by employee count
Email recency for this list is measured worldwide rather than for Denmark, so it is reported there. Company counts and contact totals on this page are exact for Denmark, over 57 companies.
How this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among hourly house cleaners, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in Denmark whose own description of what they do matches “hourly house cleaners”. Matching reads each company's description, not its industry code or its name.
- RevenueBase Smart Search
- RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names hourly house cleaners), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
- What we exclude
- Companies whose own description does not clearly place them among hourly house cleaners, and records with no verified work email. Companies headquartered outside Denmark are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 15 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 20, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Frequently asked
What is RevenueBase Smart Search?
RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names hourly house cleaners, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.
How many hourly house cleaners are there based in Denmark?
RevenueBase identified 57 hourly house cleaners headquartered in Denmark as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Team Rengøring A S, headquartered in Ringsted, tops this list with the largest team on record.
Which city has the most hourly house cleaners?
Copenhagen leads with 3 headquartered companies, followed by Frederiksberg (2) and Horsholm (2).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 15 verified decision-maker contacts tracked across these 57 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 20, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
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