Collection of B2B database of companies in Germany
Goal: To obtain a list of potential employers (clients) for B2B mailing.
Region: Munich (München) + radius of 50 km.
Required niches:
Construction companies (Bauunternehmen)
Food enterprises (Lebensmittelhersteller, meat processing plants, bakeries)
Logistics and warehouse complexes (Logistik, Spedition, Lager)
Manufacturing (plastic, windows, mechanical engineering - Produktion)
Hotels and large catering services
Technical requirements:
I need an Excel/CSV file with data collected from open sources (Google Maps, industry directories).
Mandatory columns:
Company name (Firma)
Name and surname of the director (Geschäftsführer) — Critically important: data must be taken from the official "Impressum" section on the company's website.
Email (Email)
Phone number
Company website
Industry (Branche)
Important: I am looking for a performer with experience in parsing who can bypass blocks and provide only current data. No "gray" or outdated databases.
Before starting the order, please provide a small test file (5–10 examples) to confirm the quality of collecting directors' names from Impressum.
The activity is completely legal, officially registered in the registers of Germany.
Please indicate in your response your price for 1000 clean contacts and estimated timelines.
-
2 days57 USD2 days57 USD
I suggest from Google Maps in this format: https://docs.google.com/spreadsheets/d/1tUvjWkhe4amvXk-UzCdH8PUEgGUjvADPk7cr9IDgwXU/edit#gid=89543605 maybe from others as well. Please reply.
-
2 days57 USD
961 11 0 2 days57 USDGood day! I am ready to complete the task. I have experience in collecting B2B databases for Germany from open sources (Google Maps, directories, company websites), including working with data from Impressum. Format: Excel/CSV with all specified fields.
-
2 days40 USD
232 2 days40 USDGood day! I collected similar B2B databases using a parser — companies from Google Maps, and I gathered the names of directors and contacts from the Impressum section on their websites. I will create an Excel/CSV file with all your columns (company, Geschäftsführer, email, phone, website, industry) for Munich and the surrounding area. Please let me know how many companies you need in total — do you have a target number? This will affect the timeline; I can quickly gather the initial sample for your niches.
-
1 day57 USD
5796 153 4 3 1 day57 USDGood day, Alexey! I am ready to do this work for you. The price is 50 euros for 1000 contacts. Feel free to reach out!
-
3 days40 USD
4975 41 4 1 3 days40 USDGood day! I am ready to compile a B2B database for Germany with up-to-date Impressum data, bypassing blocks. I have experience in parsing, APIs, and proxies. I will provide a test file. Price for 1000 clean contacts: [Your price], estimated timeline: [Your timeline].
Message me privately, and we will clarify the details.
-
2 days40 USD
1101 7 1 2 days40 USDGreetings!
To collect companies in Munich and a 50 km radius based on your niches, I will set up a parser using Playwright with built-in proxy handling to bypass Cloudflare blocks. The script will find websites through Google Maps, navigate to the Impressum pages, and accurately extract the names of management using strict text patterns ("Geschäftsführer", "Inhaber", "Vertreten durch").
You will receive a structured Excel file with validated email addresses and phone numbers in a uniform format.
My price is 35 EUR for 1000 cleaned contacts with confirmed directors from Impressum. I will send you a test sample of 10 examples to check the quality of the parsing immediately after we agree on the details.
Message me privately — we will confirm the exact list of industries, and I will prepare a test file.
-
2 days287 USD
3008 73 4 2 2 days287 USDGood day! I have experience in parsing necessary data!!!
I am ready to prepare a test file with 10 examples for you to evaluate the quality and reliability of the data!!!! Feel free to contact me, my price for 1000 contacts is 250EUR!!!
-
3 days57 USD
114 3 days57 USDI have experience in parsing and collecting data from open sources — Google Maps, business directories, official registries. I can extract contact information from the Impressum sections on company websites, which is key for your task. I have worked with scraping structured data in Excel/CSV format, bypassing standard blocks and verifying the relevance of contacts. I am ready to provide a test sample of 5–10 companies before starting work, so you can ensure the quality of data collection from Impressum.
-
3 days40 USD
159 3 days40 USDGood day!
I am ready to implement professional parsing of a potential client database for Munich and a 50 km radius. I have experience in developing parsers in Python, so I will collect exclusively relevant and "clean" data without outdated databases.
How the project will be implemented:
Lead collection: I will set up parsing from Google Maps and specialized German directories for all specified niches (construction companies, logistics, production, etc.).
Parsing Impressum: The script will separately access the website of each company, find the Impressum page, and using regular expressions, clearly extract the name and surname of the director (Geschäftsführer).
…
Data validation: I will clean the database of duplicates, check for the presence of emails and phone numbers, and format everything into a convenient Excel/CSV file with a clear column structure.
Working conditions:
Test: I can easily send you a test file with 5–10 examples (with verification of names from Impressum) before starting, so you can ensure quality.
Price for 1000 clean contacts: 35 EUR (I fully fit into your budget).
Timeline: 2–3 days (taking into account the setup of bypassing blocks and thorough data verification).
Feel free to reach out, I would be happy to collaborate!
-
5 days92 USD
315 5 days92 USDGood day! I have experience working with Python, data parsing, and gathering information from open sources, followed by structuring it in Excel/CSV. I am ready to complete a test task for 5–10 companies and collect data, including information from the Impressum section on official websites.
For an accurate assessment, I would like to clarify the expected volume of work and requirements for the final database. I can also offer partial automation of the process to speed up data collection and minimize manual work.
I am ready to discuss the cost and deadlines after the test task and clarification of details.
-
3 days40 USD
1213 8 0 3 days40 USDWe have experience in data parsing and creating targeted B2B lists. We implement this through automated collection of current contacts from construction and food companies in Munich and the surrounding area with data verification. We will provide a structured database in a format convenient for you for further distribution.
-
Ask your question to the client