Expert in creating automated mass searches for corporate emails in Europe using Clay/Lusha

Budget: 500 EUR Deadline: 10 days

Good day.
I have familiarized myself with the task. It is important to immediately correctly establish the technical model: this is not just "searching for emails through AI," but building a controlled pipeline for mass collection, enrichment, verification, and structuring of contact data for a specified segment of companies.
I can implement an MVP process for you in the format of an automated workflow using Clay as the orchestration level, external enrichment sources, deduplication logic, validation of results, and final export in a convenient working format. I emphasize not on the "magic of AI," but on the quality of the result, repeatability of the process, and controlled data structure.
What I see for implementation:
- fixing the input search model: companies, roles, geography, segment;
- building an automatic enrichment chain;
- deduplication and normalization of contacts;
- fixing the source of the found data;
- preparing the final set in an understandable format for further work;
- laying down a model that can be scaled further.
I would like to point out an important moment: the quality of the result here directly depends on the correct construction of the workflow, the quality of the input criteria, and the connected enrichment sources. Therefore, the key value in such a project is not just to "automatically collect something," but to assemble the process in such a way that it provides a controlled and usable result.
I have practical experience in Python projects related to building pipeline solutions for collecting, normalizing, filtering, and structuring data. My portfolio includes a relevant case with automated collection and processing of large data sets into a unified structure and exporting the result.

I am ready to implement the first working stage carefully, with a proper technical foundation without chaotic "throwing together integrations."

Cost: 500 EUR
Deadline: 10 days Expand

Budget: 1200 EUR Deadline: 14 days

Hello! I am the project manager of Business Atlas. In my experience, I have over 50 successful projects (UA, EU, US).
What we implement:
• Data Enrichment (Clay + Lusha): We will set up a multi-level search.
• AI Filtering (Perplexity): We will integrate AI for analyzing financial reports and news of European companies to ensure maximum accuracy of the sample.
• Contact Validation: Every found email will undergo real-time verification to protect your domain from blocks.
• LinkedIn Automation: A complete cycle of data extraction without manual copying.
Metrics:
• Cost: $1,000 – $1,800 (fixed for results).
• Term: 10–14 working days.
• Guarantee: 14 days of technical support.
We will build a conveyor that delivers a ready database according to your criteria. Message me privately — we will discuss the volumes and sources, and I will prepare a scheme for your process. Expand

Budget: 200 EUR Deadline: 5 days

For automatic mass searching of corporate European email addresses, I use the tools Clay and Lusha. The implementation will include using the APIs of these services to collect and filter data, which will allow gathering only relevant and working email addresses. I will also take into account all necessary technical requirements and limitations for effective data collection.

Budget: 25 EUR Deadline: 1 day

Hello!

I will help you build an "infinite" contact search funnel with 95%+ accuracy. For the financial sector in Europe, standard searches in Lusha are not enough — I will set up a process where Clay will act as the main orchestrator of data.

My implementation plan for the architecture:

Source (LinkedIn): I will set up automatic lead import from Sales Navigator into Clay via PhantomBuster or Clay's built-in tools.

Research through Perplexity (AI Research): We will use the Perplexity API to verify companies: searching for valid domains, checking recent news (whether the person still works at the company), and searching for corporate email structures.

Waterfall enrichment (Maximum accuracy): I will set up a chain: if Lusha does not find an email -> it searches Apollo -> then Hunter.io / RocketReach. This guarantees the extraction of the maximum number of contacts.

Validation (Zero Bounce / NeverBounce): No email will enter the database without 100% verification for "deliverability" to avoid damaging your domain's reputation.

Specifics of Europe: We will consider GDPR standards and specific financial domains (investment funds, banks), where emails often have non-standard formats.

Result: A fully autonomous table in Clay: you add a LinkedIn link — and you get a validated corporate email as output.

I have two questions to start:

What is the approximate volume of leads you plan to process per month?

Do you already have purchased licenses for Clay/Lusha, or do you need help choosing plans that fit your budget?

I am ready to demonstrate the logic of how such a system works in a call. Expand

Budget: 200 EUR Deadline: 3 days

Hello! I have reviewed the project and am ready to start working. I am sure you will be satisfied with the result.

Budget: 1000 EUR Deadline: 3 days

Good day or Good evening!

I am ready to organize the most accurate automatic search for corporate European emails in the financial sector. I use Clay/Lusha, LinkedIn, and Perplexity. I have experience working with APIs, Google Sheets, and proxies for effective scaling.

Message me privately, and we will clarify the details.

Budget: 600 EUR Deadline: 10 days

Good day. I have reviewed the task and can implement an automated process for searching corporate emails to collect data from LinkedIn, enrichment through API (Lusha/others), validity checking, and additional analytics. Let's discuss the details.