[Hiring] n8n Specialist for Automated B2B Lead Generation Systems (Ongoing Work)

Jobs
1

Hey everyone,

I run a digital marketing agency. Looking for an experienced n8n specialist to partner with on an ongoing basis.

Two projects to start:

Project 1: B2B lead gen for a workplace food solutions company expanding in Poland. Need to automatically find and qualify companies with 50+ employees, enrich with decision-maker contacts, AI-score for fit, output to Google Sheets/Airtable. Runs daily.

Project 2: Lead gen for a European fintech company. Need to identify newly registered businesses, e-commerce launches, startups across Europe that likely need banking/payment services. AI-score by likelihood, enrich with founder contacts, output daily.

What I’m looking for:

  • Someone who has built similar scraping + AI qualification workflows in n8n
  • You propose the architecture and data sources — I want your expertise, not just execution
  • Working proof-of-concept with real data before full payment
  • Long-term collaboration: these are the first two of many workflows we’ll need built
    Ongoing: maintenance, optimization, and new workflow builds as we scale.

If you’ve built something similar, I’d love to see examples. Drop a reply or DM me.

Thanks!

8 Likes
2

Hey :waving_hand:,

I’m Milan, with 8 years of experience in Business Automation and AI. Including 2 years at Apify working on enterprise-level browser automation.

Currently specializing in n8n, but also proficient in Python & Javascript.

Find out more about my work here:

If you think I might be a match, please:

Book a call here with me

Or reach out at [email protected]

Looking forward to hearing from you!

3

I recently built a workflow with Apollo’s API and n8n to collect decision maker contacts from specific industries (biotech) in USA. WIth several rules to prequalify.

I can show some of how that works in the discovery call and how we could adapt it for your use-case.

4

Hey @Darius888 , welcome to the community :waving_hand:

Your use cases are exactly the type of systems I build with n8n — automated lead intelligence pipelines that combine scraping, enrichment, and AI qualification.

For similar projects I’ve implemented workflows that:

• discover companies from sources like Google Maps, LinkedIn, Crunchbase, and business registries
• enrich decision-maker contacts using APIs such as Apollo, Clearbit, and email discovery tools
• run AI scoring (LLM + rules) to prioritize companies based on ICP fit
• automatically push qualified leads into Airtable/Sheets/CRM on a daily schedule

For the fintech use case you mentioned, I’d likely approach it using business registry datasets + startup launch signals + e-commerce detection, then run enrichment and AI scoring before output.

Happy to propose a full architecture and build a working proof-of-concept with real data.

You can see examples of similar AI automation systems I’ve built here:

Portfolio:
https://www.muhammadz.fun/

AI Automation Projects:
https://muhammad-ai-automations.notion.site/Muhammad-Bin-Zohaib-AI-Automation-Projects-29da292a241380f889c2e337a134c010

Feel free to DM me here or reach out directly:
[email protected]

Looking forward to discussing this.

6

Hey Profile - Darius888 - n8n Community

I got you, I have been building all forms of automations for the past 2 years and have built 100s of flows for my clients. Have worked with all sorts of companies and gotten them 10s of thousands in revenue or savings by strategic flows. When you decide to work with me, not only will I build this flow out, but also give you a free consultation like I have for all my clients that led to these revenue jumps.

I have built a similar workflow like this for one of my clients. I can not only share that but also how you can streamline processes in your company for faster operations. All this with no strings attached on our first call.

Here, have a look at my website and you can book a call with me there!

Talk soon!

7

If you need I am available here:

I am one of top 50 verified template creators:

I am also capable of building custom community n8n node too:

  1. https://www.npmjs.com/package/n8n-nodes-pdfbro
  2. https://www.npmjs.com/package/n8n-nodes-ocrbro
  3. https://www.npmjs.com/package/n8n-nodes-ttsbro

Apart from that I’m also a full-stack developer with the right Gen AI experience, which makes me a solid plus for your team[but right now only vibecoding]

Check my recent gen ai projects… I built a native Android automation agent too. It’s worth a look:

I can build complex AI automations directly in code, not just inside n8n

I recently started posting my n8n work on YouTube with explanations:
https://youtube.com/@blankarray

You can schedule a quick call with me: https://cal.com/abhi.vaar/n8n

Fun fact… I even made an n8n workflow to find a few n8n project leads for myself so I truly believe in what I do…

9bSkKu
9bSkKu1220×1470 122 KB

I started asking My recent clients for honest feedbacks so here is one testimonial: https://www.youtube.com/watch?v=TqBy3SVCHgQ&list=PLAJltY5bp6yiZ3sFBjm7bfrkLXSGtJX8m

Here is my linktree: iamvaar | Linktree

And I also built low latency voice appointment scheduler with live ai avatar[in code]:

I built AI search visibility tracker[I am capable of building complex web scraping automations in python too]:

And done many other big projects too which are under NDA’s so technically I can’t reveal them.

8

hey, DM me please

2 Likes
9

Hi Darius, I couldn’t send you a message. Feel free to email me so we can connect: [email protected]

10

Please check your DM.

11

Hi Darius,

Strong fit here. I’m Priyanshu, Founder of Evara AI — I build AI-powered automation pipelines and have deep experience with exactly this kind of scraping + AI qualification workflow.

Relevant to your project:

  • AI-powered lead scoring — I’ve built multi-agent systems that use LLMs (Claude/OpenAI) to qualify, classify, and score data from unstructured sources. Not keyword matching — actual contextual analysis.

  • Scraping + data enrichment — built pipelines that pull from multiple sources, normalize data, and output to structured formats (Google Sheets, Airtable, Supabase).

  • n8n workflows — experienced with complex multi-step automations including retry logic, error handling, and webhook orchestration.

  • Architecture-first approach — I always start with a proposal before building. Happy to submit an architecture proposal with approach, timeline, and proof-of-concept plan.

Recent work: built a 9-agent intelligence system for an Amazon seller (6,000+ products) that autonomously detects patterns, scores performance, and delivers actionable briefings. Similar pipeline thinking applies directly to B2B lead qualification.

Available for ongoing collaboration. Happy to discuss scope over DM.

Portfolio: evaraai.in

Best,
Priyanshu Kumar
Founder, Evara AI

12

Hello @Darius888

I made this video specifically for you: [Hiring] n8n Specialist for Automated B2B Lead Generation Systems (Ongoing Work) - Darlus | Loom

Also my portfolio

I’ve been building n8n workflows for 6 and 7-figure businesses for 2 years and the video shows exactly a few of them.

Shoot me a message and let’s get started. [email protected]

Fran

P.S.: The video is 3 minutes. Worth it.

13

Hi Darius, I’ve built lead gen pipelines in n8n — scraping, enrichment, AI scoring, output to Sheets/Airtable. For the Poland project I can set up company database pulls filtered by employee count with an AI scoring layer. For the fintech one, tracking new business registrations across Europe is doable with the right data sources. I’m open to long-term — these systems work best when someone’s actively optimizing them. DM me or email [email protected] and I can propose an architecture for both. Portfolio: iamkenjobs · GitHub

14

Hi Darius,

This is exactly what I do every day. I’m co-founder of Staffloop, an automation agency specializing in n8n workflows for B2B lead generation.

Here’s what I’ve built that directly matches your two projects:

  • Full B2B prospecting pipeline: scraping → data enrichment (Dropcontact/Apollo) → AI scoring with Claude API → CRM export. Running in production, processing 200+ qualified prospects/week with 85% time saved on sourcing.

  • Multi-source lead capture from LinkedIn, Google Maps, business registries — with automated qualification and routing.

My stack: n8n (self-hosted + cloud), Claude/OpenAI APIs, Apollo, Dropcontact, NocoDB, Airtable, HubSpot. I run everything on Docker/VPS with reverse proxy, and I document every workflow for handover.

For your fintech project, I’d propose using business registry APIs + structured enrichment pipelines with AI-powered qualification — happy to detail the architecture on a call.

I also work as a tech recruiter at BitTalent (Web3), so I understand both the technical execution and the business logic behind lead qualification.

Happy to share my portfolio and jump on a quick call.

Hugo

15

Hey Darius, this is exactly what I build.

I have hands-on experience with n8n scraping + AI qualification pipelines. Here is what I can bring:

  • Web scraping in n8n: Built multi-source scrapers pulling from LinkedIn, company databases, and public registries — with pagination, rate limiting, and retry logic

  • AI scoring: OpenAI-powered lead qualification — feed company data through GPT with custom scoring prompts, output scored leads to Google Sheets/Airtable with confidence scores

  • Data enrichment: API chains to pull decision-maker contacts, company size, revenue estimates, and social profiles

  • Production reliability: Error handling, monitoring, daily scheduled runs, alerting when pipelines fail

My approach for your projects:

  1. Start with a working POC using real data for the Polish workplace food company

  2. Build the scraping layer (company registries + LinkedIn + web search)

  3. AI qualification pipeline (GPT-4 scoring with your criteria)

  4. Output to Google Sheets with daily refresh

  5. Then replicate the architecture for the fintech project

Stack: n8n (self-hosted), Python, FastAPI, OpenAI API, Google Sheets API, Airtable API.

Happy to show you examples and start with a POC. DM me anytime.

— Vinod

16

Hey Darius,

Funny timing - I literally have two production workflows that do almost exactly what you described.

One is a lead intelligence system: webhook catches incoming data, AI analyzes intent and scores the lead, then a separate AI call researches the company, generates a personalized outreach message, and routes everything by priority to Telegram. The other is a company research pipeline: takes a company name, runs DNS lookups to figure out their tech stack, scrapes the website, feeds everything to AI to build a company profile, then outputs a clean report.

Both run on real data, not test stuff. You can see them here: GitHub - penkayone/n8n-automation-portfolio: Production-grade n8n workflow automations — AI lead intelligence, competitive market monitoring, customer support bot, multi-API company research. 4 enterprise workflows, 62 nodes, 9 AI calls, 40+ tech signatures. · GitHub

For your Poland project - I’d pull company data from business registries and Google Maps, filter by employee count, enrich with decision-maker contacts through API calls, then let AI score each one against your ICP. Daily cron trigger, deduplication against master list, output to Sheets or Airtable. Same architecture for the fintech one, just different data sources and scoring criteria.

I’m happy to put together a working POC with real Polish company data so you can see it actually running before committing. I’d just ask for a small fee for the POC to cover the time, then we can agree on pricing for the full build and ongoing work.

Backend dev (Python, PHP), self-hosted n8n on Docker, based in Europe (CET). DM me if you want to talk specifics.

Email: [email protected]

Telegram - @antongoloskokov

18

Hey @Darius888,

B2B lead generation automation is exactly what we do at Altiora. We built and sell a production-ready AI Client Pipeline workflow on n8n that handles lead capture, AI qualification, automated follow-ups, and review requests.

What I can bring to this:

  • Existing n8n workflows for lead enrichment, scoring, and nurture sequences
  • Experience integrating with CRM APIs (HubSpot, custom), email systems, and outbound tools
  • AI-powered lead qualification using OpenAI (scores leads based on your ICP criteria)
  • Webhook-based capture from forms, landing pages, or scrapers

How I work:

  • Fast: first working prototype within 48-72h
  • Documented: your team can maintain and extend the workflows
  • Ongoing: happy to iterate and optimize as your lead sources evolve

Portfolio: https://altiorahq.gumroad.com (see AI Client Pipeline template)
Dev.to articles on n8n + AI patterns: Altiora - DEV Community

Happy to discuss scope and rate. DM or email: [email protected]

Fabrizio — Altiora

19

We built and run an outbound lead generation pipeline processing 246+ leads with AI scoring, enrichment, and CRM sync — all orchestrated through n8n.

Our stack for B2B lead gen:

  • Web scraping via Playwright/Puppeteer with anti-detection
  • Data enrichment and deduplication pipelines
  • AI lead qualification using Claude API + pgvector similarity search
  • CRM sync, campaign management, automated follow-ups
  • FlipAudit — our OSINT-based lead scoring tool (website, business, social data analysis)

We’re a Ukrainian dev team, EU compliance aware, with cross-border B2B experience (Poland, DACH, Nordics). Currently running 86+ n8n workflows in production across multiple SaaS products. Own infrastructure, no third-party lock-in.

Ready for a POC. DM for portfolio and examples.

20

DM me please. Thank you.

2 Likes
22

This is a strong match — and I like that you want expertise, not just execution.

For the two workflows you described, here’s how I’d architect them:

Workflow 1 (Food sector companies, 50+ employees):

LinkedIn Sales Navigator or Apollo.io API → filter by industry/headcount → AI scoring node (Claude API) with custom criteria prompt → deduplicate against Airtable/Sheets → daily scheduled output with confidence scores. Data freshness: daily delta only, not full re-pull.

Workflow 2 (Newly registered EU businesses):

EU business registry APIs (Companies House equivalents per country) + Crunchbase/Clearbit enrichment → AI qualification (payment service fit scoring) → founder contact enrichment via Apollo/Hunter → daily output to your preferred CRM/sheet.

Both built modular — easy to adjust scoring criteria, swap data sources, or extend to new markets without rebuilding from scratch.

I’ve built lead gen pipelines like this in production. Ready to start with a scoped proof-of-concept if you want to see the approach before committing.

Les Marchand

[email protected]

oriondigital.surge.sh

23

Hey @Darius888 — your post about B2B lead gen workflows for Poland and Europe caught my eye. This is my core specialty.

I build end-to-end lead generation pipelines in n8n: source leads (LinkedIn, Apollo, web scraping), enrich with company data, validate emails, push into CRM (HubSpot, Pipedrive, etc.), and trigger automated follow-up sequences. All customizable for EU market targeting and GDPR-compliant.

I also noticed your other post about cold email automation at scale — happy to tackle both together since the lead gen and outreach systems overlap significantly.

Are you still looking? Happy to discuss the scope and what tools you’re currently using.