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Web Scraping

B2B Lead Generation for Beauty Services in France

Hyper-targeted B2B lead list of French beauty institutes outside major cities — names, phones, addresses, and website-verified services, extracted automatically.

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Screenshot of the B2B Lead Generation for Beauty Services in France project — Web Scraping

About this project

Qualified B2B prospects delivered ready to contact — no manual research

The client had a very specific problem: find independent beauty and wellness institutes in France, located outside the large cities, offering one or more of a short list of specialized treatments. Nothing generic, nothing that a random LinkedIn search could surface. The kind of list that normally takes weeks of assistant work to build — and a custom scraping pipeline solved it in hours.

The problem statement

The target was not "any beauty salon". The brief demanded institutes that actively offer at least one of the following specialized services:

  • Lipocavitation (ultrasonic body contouring)
  • Radiofrequency
  • Renata França massage
  • Maderotherapy (wooden-tool massage)
  • Tesla Therapy
  • Body Sculpt
  • LPG Endermologie
  • Cellular stretching

And, just as importantly, these institutes had to be located outside major metropolitan areas — the commercial angle was to reach secondary cities and smaller towns that are typically under-served by supplier prospecting.

Doing this with Google searches and a spreadsheet would have taken months and would have missed most relevant results, because the specialized services are often mentioned only deep in a service page, not in the business name or Google Maps snippet.

The technical solution

Multi-source search The script queries Google and Google Maps with a combinatorial set of targeted queries (service × geography × descriptor) to identify candidate businesses across every target region. This catches establishments that would never surface on a single query.

Service verification For each candidate, the script downloads the business's website and analyzes its content to confirm the actual presence of the required services. The verification layer understands variations in how these services are named, handles typos, and recognizes both French and English terminology. Only verified institutes are kept in the final list — no false positives padding the deliverable.

Contact data extraction For each verified business, the pipeline extracts: legal name, trading name, full postal address, phone number, website URL, email address when publicly listed, and the specific services confirmed on that site. All fields normalized, deduplicated, and enriched with the region and postal code.

Geographic filtering An exclusion layer removes businesses located inside predefined metropolitan areas, so the final list contains only the secondary-market institutes the client actually wants to call.

The delivered result

  • A clean, qualified, exportable list, ready for the Sales team to use in a prospecting campaign on day one.
  • Every row is traceable: the exact source page that proved the service is offered is linked, so the Sales team can reference it when opening a conversation.
  • Zero manual research, zero false positives, zero wasted call minutes on non-qualifying institutes.
  • A reusable framework: the same pipeline can be retargeted to any other niche or geography in a few hours of configuration.

Why outsource this kind of list-building?

A B2B sales team's most expensive resource is its time on the phone. Feeding that team with a scraped, verified, filtered list is the single highest-leverage investment in any outbound motion. Instead of spending 30 minutes per hour on Google, the reps spend 55 minutes per hour actually talking to qualified prospects.


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Technologies used

Web ScrapingPythonGoogle Maps APIData Extraction

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