From Eight to Two Hundred: How GeeLark Supercharged Facebook Marketplace Outreach

When one seller tried to scale product sourcing on Facebook Marketplace with Puppeteer and browser‑based anti‑detect tools, his accounts kept getting flagged. Switching to GeeLark’s real‑device mobile automation solved this: it mimics genuine hardware, IPs and touch behaviour, so Facebook treats the accounts like normal users. Now he sends around 200 messages a day (up from eight), contacts 200 sellers and sources enough inventory to resell 300+ items per month, earning about $2,000 in profit.

This is the story of one of GeeLark’s users. In this post, he shares how he scales Facebook Marketplace outreach using GeeLark’s automation.

Over the past few months, I have been using GeeLark at scale to automate my product-sourcing pipeline from Facebook Marketplace.

Before Using GeeLark

Before GeeLark, I tried scaling with Puppeteer and browser-based anti-detect tools. But even with rotated fingerprints, proxies, and human-like mouse movements, Facebook still flagged the accounts — because browser automation leaves subtle signs that platforms like Facebook can detect.

In contrast, GeeLark runs on real Android devices, which behave like genuine mobile users. Mobile environments naturally vary in hardware, IP behavior, app usage patterns, and touch interactions — all of which are hard to fake in a browser. As a result, when combined with human-like timing and message flows, GeeLark’s mobile automation looks native and blends in, making it far more stealthy and reliable for long-term use.

After Using GeeLark

Today, I use my personal Facebook account only for browsing and finding listings, and I outsource all messaging to GeeLark through their Custom Tasks API.

On the tech side, I built a lightweight system using Next.js and Node.js, plus a custom Chrome extension that injects a “Schedule with GeeLark” button directly inside Facebook Marketplace. Whenever I find a promising listing, I click that button once and my backend:

• Generates a human-like message asking if the item is still available and to leave a WhatsApp number if yes (to safely move the convo off-platform).
• Randomizes the message content, sending time, and sending device to mimic natural behaviour.
• Creates a GeeLark Task and assigns it to one of my 20 GeeLark devices, based on how many messages that device has already sent (to keep activity levels realistic).
• Pushes the task either from my dashboard or directly via the Marketplace button — making the process 1-click.

Results

This semi-automated, human-looking flow lets me send 200 messages per day (vs ~10 natively using Facebook alone), contact 200 sellers/day, and receive about 20 replies — while staying under Facebook’s detection limits.

I then source inventory from those replies and resell it on external marketplaces, currently moving 300+ items/month and generating roughly $2,000/month profit — entirely powered by GeeLark.

Wrapping up

GeeLark allowed me to build a scalable sourcing engine that anti-detect browsers couldn’t, by combining smart scheduling, randomized tasks, and device-level automation — all triggered with a single click.