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05/20/2022 | By: FDS

As of May, our research database already includes over 17 million websites/URLs in all industries, among which we can identify suitable companies, suppliers or potential customers for you, even if they are not listed in the commercial register.

Our total URL inventory currently includes, for example, 90,000 medical, physio and other types of practices, 77,000 companies in the real estate industry, 56,000 trainers & training providers, 52,000 coaches & coaching providers, 52,000 consultancies, 34. 000 tax consultants, 30.000 pharmacies, 18.000 Kanzleien and attorneys, approximately 15.000 agencies of all kinds, 13.000 publishers, 12.000 management consultations, 11.000 foundations, 7.000 care services, 7.000 publishing houses, 7.000 portals, 4.000 federations u.v.m. contain.

By the end of the year, our domain pool will contain around 20 million websites. In addition, it is planned to expand the focus from the DACH region to the rest of Europe and the EU, respectively, in order to be able to process individual inquiries even better. In the medium term, the total portfolio will comprise around 200 million web pages.

No matter what you are looking for where: We will be happy to provide you with an individual offer for a custom data-compilation, e.g. the 1,000 most important companies by topic or in industry X or all websites on topic Y by visitor rank/web ranking/social media follower count, etc. Request now!


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06/01/2020 | By: FDS

At the beginning of June, the number of corporate websites stored in our databases rose above the threshold of 20 million domains. This means that since the start of the database development, an average of around half a million additional websites have been added each month. In the course of internationalization, our crawlers are now increasingly focusing on other European countries, with the help of which further markets can be developed and also globally operating companies can be supported with up-to-date and reliable data. In addition, server-side performance has been further improved, further reducing the time required for re-running and thus using the timeliness of the data.


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