German B2B Data Scraping & Enrichment Specialist

We are looking for an experienced web scraping and data extraction specialist to help us collect and enrich German B2B business data from large online business directories.

This is an ongoing project with long-term work potential. Initial engagement will start with two websites, with additional directories to follow based on performance.

Data Sources

Examples:

* 11880.com
* Yelp.de
* Additional German business directories (30+ websites available)

Each website may contain between 2–3 million business listings.

Scope of Work

Phase 1 – Directory Scraping

Extract all available B2B business records from the target directory.

Required fields must be delivered in our predefined Excel format.

The output format must be followed exactly.

If a field is unavailable, leave it blank. Do not remove columns or alter the structure.

Phase 2 – Data Enrichment

Records will be categorized into three groups:

Category A

Businesses that already have an email address available within the directory listing.

Example:

* Company Name
* Website
* Email

Category B

Businesses that have a website but no email address available.

Requirements:

* Visit the company’s website
* Locate contact details
* Extract and populate email addresses when available

Category C

Businesses that have neither a website nor an email address.

Requirements:

* Research the company online
* Identify official website where possible
* Locate contact information
* Find relevant matching company information

Deliverables

The final deliverable must:

* Follow the supplied Excel template exactly
* Preserve all columns
* Preserve column order
* Leave unavailable fields blank
* Contain clean and structured data
* Be delivered in Excel or CSV format

Technical Requirements

Applicants should have experience with:

* Large-scale web scraping
* Data extraction
* Proxy management
* Anti-bot handling
* Data cleaning
* Data enrichment
* Email extraction
* High-volume data processing (millions of records)

Important

Please include the following in your proposal:

1. Your experience with large-scale scraping projects
2. Estimated processing capacity per day/week
3. Technologies and tools used
4. Expected turnaround time
5. Pricing model
* Per million records
* Per website
* Or any alternative pricing structure you recommend
6. Examples of similar work completed

Initial Volume

* 2 German business directories
* Approximately 4–6 million total records

This may expand significantly if the collaboration is successful.

We are looking for reliable long-term partners capable of handling large-scale data extraction and enrichment operations.