Join BrowserAct Creator Program: Publish automation workflows to earn $500 weekly cash pool! Explore Phase 1 featured creators and their workflows. Apply now!

Are you an automation enthusiast, web scraping expert, or no-code builder looking to monetize your skills? BrowserAct, the leading AI-powered no-code web scraper and automation platform, is proud to announce details of our Creator Program rewards. This article dives deep into the program's incentives, featuring welcome bonuses, weekly cash pools, and real-world examples from our top creators. Whether you're creating templates for lead generation, data extraction, or market analysis, our program offers tangible rewards to help you earn while sharing your innovations with thousands of users. Explore how you can turn your automation workflows into income streams today!

What is the BrowserAct Creator Program?

The BrowserAct Creator Program is now open to innovative builders who publish BrowserAct templates and supported automation workflows (including Make and n8n integrations using the BrowserAct node). Share your useful automations with thousands of users, solve real-world problems, and earn exciting rewards.

Rewards

• 10,000 Credits Welcome Bonus: Get a one‑time 10,000 credits bonus when your first template goes live.
• $500 Weekly Reward Pool: Top creators share a $500 weekly cash pool (Top 10 by performance).
• Fast cycles: Applications reviewed within 48 hours; payments processed every 7 days.

Phase 1 Creator Reward Announcement

In Phase 1, we're thrilled to award $50 USD to each of the following standout creators for publishing high-quality workflows, passing our rigorous review process, and collaborating closely with our team to enhance functionality and user experience.

Featured Creators & Workflows

Khalid 0001

Khalid 0001 has developed the Google Maps Lead Scraper, an innovative automation tool that streamlines lead generation by intelligently navigating Google Maps search results and extracting key business data.

• What it does: Automates lead generation from Google Maps by navigating search results and extracting business intelligence.
• Extracts: Business names, contact numbers, website URLs.
• Output: Structured CSV for cold outreach campaigns and CRM integration.
• Why use it: Eliminates manual copy-paste, reduces data-entry errors, and significantly speeds up prospecting.

Baqir Ali

Baqir Ali has created the LinkedIn Job Scraper, a powerful tool that effortlessly captures valuable job market insights from any LinkedIn search results.

• What it does: Automatically captures high-value job market data from any LinkedIn search result.
• Extracts: Job titles, company names, locations, salary insights, posting dates.
• Output: Structured dataset ready for analysis and reporting.
• Why use it: Includes Smart Session Detection—checks if a login page is visible, skips manual steps when already logged in, and triggers Human Handling to pass logout/2FA when needed.

Additionally, Baqir Ali has built the US Business Lead Scraper (BBB Directory), which transforms the BBB directory into a robust B2B lead database without any coding required.

• What it does: Turns the BBB directory into your personal B2B lead database—no coding required.
• Extracts: Business names & contact info, BBB ratings & reviews, accreditation status.
• Output: Prospecting- and research-ready dataset from any BBB category or search results page.
• Why use it: Great for deep prospecting and due diligence, automation-ready with seamless Make integration, and flexible across BBB pages.

Riley Harper

Riley Harper has designed the Amazon Products & Reviews Deep Scraper, an efficient automation solution that streamlines Amazon product research by searching categories for bestsellers and deeply scraping product and review details.

• What it does: Automates Amazon product research by searching any category for bestselling products and deep-scraping complete product and review data.
• Extracts: Complete product data (including pricing and ratings), all customer reviews with detailed analytics, seller information.
• Output: CSV for quick analysis (publicly visible data only, respecting Amazon’s terms of service).
• Why use it: Ideal for e-commerce sellers monitoring competitor pricing, brands doing pre-launch research, dropshippers finding trending products, and researchers analyzing market trends and customer feedback patterns.

In addition, Riley Harper has developed the Medium Article Deep Scraper (Human Login), which searches Medium by keyword and extracts full article content plus discussions via secure human authentication.

• What it does: Searches Medium by keyword and extracts complete article content and discussion data using secure human authentication.
• Extracts: Full article content, all reader comments with nested replies, author profiles (supports member-only access and 2FA via human login).
• Output: CSV (quick analysis) + JSON (detailed content review).
• Why use it: Perfect for content researchers, writers, competitor analysis, knowledge collection, and community sentiment analysis—especially when complete content and discussions are needed.

Want to Publish Your Workflow?

If you’ve built a useful automation, we’d love to feature it. Submit your template/workflow, get reviewed in 48 hours, and start earning with the 10,000 credits welcome bonus plus access to the $500 weekly reward pool.

Join the BrowserAct Creator Program Now and Start Earning Rewards!