I help businesses accelerate growth by delivering targeted B2B lead generation services tailored ...

I help businesses accelerate growth by delivering targeted B2B lead generation services tailored ...I help businesses accelerate growth by delivering targeted B2B lead generation services tailored ...

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Oshinaike Oluwatofunmi

• Jul 8

I help businesses accelerate growth by delivering targeted B2B lead generation services tailored to their ideal customers. Using in-depth research and reliable verification tools, I provide accurate contact details—including names, job titles, company information, and verified email addresses—in a clean, organized spreadsheet. My goal is to equip you with high-quality leads that improve outreach, boost conversions, and connect you with the decision-makers who matter most.

Content Research Operations Klaviyo MailChimp Lead Generation

Sameer Hasan

• Jul 7

Got tired of dealing with clunky, rate-limited 3rd-party scrapers, so I built my own.

Just testing out my custom Google Maps lead generation scraper, built on Next.js, Playwright, and Supabase. It pulls business listings, finds public contact emails, and automatically dedupes everything before saving.

A few things that make it completely frictionless:

Search and initiate scrapes directly from the UI—no need to even open Google Maps.

Added a Queue system so you can run multiple scrapes simultaneously.

Real-time progress tracking (you can see the live log running in Screenshot 2026-07-07 173222.png).

I am thinking about open-sourcing the whole thing. Should I drop the code on my GitHub?

Also, I need a better name for it. My working title is "Glead", but I am completely open to suggestions. Let me know what you think!

leadscraper Web Development opensource Web Scraping Full Stack Development Next.js Playwright Supabase

Adesuyi Victor

• Jul 7

Nice build. If you open-source it, I would prioritize making the architecture and queue system easy to extend, that's usually what gets developers to adopt and contribute.

Oluwafemi Emmanuel

• Jul 7

I built an automated lead generation system that scrapes local business directories and transforms raw data into organized prospect lists.

Using n8n, Bright Data, and OpenAI, the workflow collects business information from platforms like Yelp and Google Maps, cleans and validates the data, removes duplicates, and stores the results in Google Sheets.

The system also sends structured lead lists via email, helping businesses automate prospect research, save time, and scale outreach efficiently.