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Felix Schumann
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Services / Lead research

The right contacts.Without the handwork.

Find relevant businesses, shops or brands and put the results to work. I build research tools that search agreed public sources, clean the data and deliver it through a searchable dashboard or your existing system.

See it builtDiscuss your project

Lead research · Scraping tools · Data you can trust

Explore an example

Public sources
Sources01

Define the search

  • 01Choose an industry
  • 02Set a region
  • 03Agree on sources

Your task shapes the implementation.

The everyday problem

Turn search results into useful contacts.

A long list is not much use when sources are missing or the same shop appears three times. I build research tools that help you find relevant businesses, check their data and put the results to work.

Turn individual results into a traceable dataset with sources, useful fields, deduplication and a clear next step. Discovery and enrichment stay separate so failed lookups can be retried. We agree on scope, permitted source use and the required data before implementation.

What we will work on together.

The scope follows your project.
  1. 01

    Search with a purpose

    Scoped research by industry, region or defined directories

  2. 02

    Bring the data together

    A shared data format, deduplication and agreed enrichment

  3. 03

    Use the results

    Searchable results, filters and exports that fit the workflow

  4. 04

    Keep track of lookups

    Visible run status and retryable lookups, with CRM integration where needed

From my work

See what this looks like in practice.

All projects
In daily use2026

Shop research and contact pipeline

From a shop directory to contacts a sales team can use.

Public shop directories become usable data: cleaned, enriched, searchable and ready to export.

  • Separate discovery and enrichment
  • Deduplicate returning shops
  • Search and export contacts
  • Python
  • Next.js
  • MongoDB
  • +3
Explore the project112,000 leads in the database
In daily use2026

Regional business research

Find the businesses around your next opportunity.

Industry, location and radius become a systematic search. Four directories provide businesses and enriched contact details.

  • Four sources, one radius search
  • Cover regions by postcode
  • Enrich contact details automatically
  • Python
  • Playwright
  • MongoDB
  • +1
Explore the projectClient project
In daily use2026

Research and outreach automation

Find the right brand. Reach the right person. Keep the thread.

From relevant brands to the right contact and a deliberate follow-up. A daily view keeps the next steps visible.

  • Find brands from real opportunities
  • Connect research and contact sequences
  • Keep follow-ups visible
  • Next.js
  • TypeScript
  • PostgreSQL
  • +3
Explore the projectClient project

Our first conversation

What makes a result worth keeping?

You do not need a finished technical specification. Your idea, an example or a look at the current workflow is enough to start.

Let us talk it through
  1. 01

    Which businesses or shops are you looking for, and what makes a result relevant?

  2. 02

    Which sources and fields should be used, and how do you intend to use the data?

  3. 03

    How should results be reviewed, exported or connected to your CRM?

You might also be wondering:

Which services do you offer?How do you handle data and external AI services?Do you provide hosting and further development?

Inside the implementation

Search in internal tools: When filters help more than an AI chatFind known records, filter collections and explain results: choose search behavior around CRM and research tasks.Why does a web scraper suddenly return empty fields?Missing fields, changed pages and failed requests: make scraper failures visible while protecting useful existing records.Lead research: Useful records matter more than huge listsSources, freshness and duplicates: turning collected records into an auditable working foundation for sales teams.AI automation starts with a clear workflowWhich workflows suit AI automation, and why data, clear ownership and reviewable results should come before choosing a model.
Felix SchumannFelix SchumannAI automation engineer

Name it, I build it.

If something here looks like the problem you have, write to me. A short description of what is not working is enough to start.

Get in touch[email protected]