Web Scraping & Data Enrichment German Nail Salons

Here is the updated, platform-agnostic job brief. All references to Treatwell have been removed and replaced with general references to directories and public web sources. --- # Job Brief: Data Scraping & Enrichment (German Nail Salons) ## Project Overview We are looking for a data scraping and enrichment specialist to extract public business data for **nail salons across major cities in Germany**. The goal of this project is to build a highly accurate B2B outreach list. We will start with a pilot batch in major population centers and eventually scale the project to **9,000+ salons**. --- ## Scope of Work ### Phase 1: Target Identification You will locate, filter, and extract nail salons across major German digital directories, maps, and platforms matching the following criteria: * **Locations (Starting Cities):** Berlin, Hamburg, Munich, Köln, Frankfurt, Stuttgart, Düsseldorf, Essen. * **Rating Filter:** Only salons with high customer review ratings of **4.5 stars and above** (out of 5). ### Phase 2: Data Enrichment & Deep-Scraping For every salon identified, you must cross-reference their business name and address to locate their official website/digital presence and extract: 1. **Email Address:** General corporate or booking emails (Must be verified). 2. **Social Media Handles:** Instagram handle (and/or Facebook link if Instagram is missing). 3. **Telephone Number:** Standard business contact number. --- ## Required Deliverables (Excel / Google Sheets Format) The final spreadsheet must contain the following clean, unmerged columns: * `Source Directory URL` (Where the business was found) * `Business Name` * `City` * `Street Address & Postal Code` * `Average Rating` (e.g., 4.7) * `Company Website URL` (Direct website, if available) * `Email Address` * `Instagram Handle` (Formatted as `@handle` or full URL) * `Phone Number` (Formatted with German country code, e.g., +49...) --- ## Data Quality & Verification Requirements (**Crucial**) * **No Generic Guesswork:** Do not use automated guesser tools for emails without validation. * **Email Verification:** All scraped emails must be run through a validation tool (like ZeroBounce or NeverBounce). We require a **bounce rate of less than 5%**. * **No Duplicates:** The final sheet must be deduplicated by Business Name + Address. --- ## Timeline & Phased Rollout 1. **Test Sample:** A paid trial of **50 records** to verify data formatting, sources, and accuracy. 2. **Batch 1:** Major cities (Berlin, Köln, Frankfurt, Hamburg, Düsseldorf, Stuttgart, Munich, Essen) filtering for 4.5+ stars. 3. **Ongoing Batches:** Expanding geographically to reach the 9,000+ salon target. --- ## How to Apply & Quote When submitting your proposal, please provide: 1. **Your quote per 100 verified records** (e.g., "$X.XX per 100 rows"). 2. A brief explanation of the sources, tools, or custom scripts you intend to use (e.g., Python, Google Maps API, Clay, PhantomBuster). 3. Confirmation that you can validate emails to guarantee a less than 5% bounce rate.