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Filters scam job postings on Upwork feed and highlights verified high-trust clients automatically. Upwork Feed Cleaner & Trust Filter is an essential tool for freelancers, agencies, and contract professionals on Upwork. Save Connects and hours of scrolling by automatically filtering out scam jobs and highlighting high-trust, high-budget clients! 🚀 KEY FEATURES: 🆓 FREE FEATURES (BASIC FILTERS): • Scam & Off-Platform Contact Detection: Automatically hides job postings containing scam keywords, off-platform payment requests, Telegram links (t.me), WhatsApp numbers, Skype handles, and direct email contacts. • Instant Feed Cleaning: Works seamlessly on all Upwork job search pages (/nx/search/jobs/) and custom feeds. 👑 PRO FEATURES (SMART CLIENT FILTERS): • Minimum Client Spent Threshold: Filter out jobs from clients who haven't spent your desired minimum amount (e.g., hide all postings with less than $5,000 total client spent). • 🔥 Top Client Highlighting: Automatically highlights verified high-trust clients ($10,000+ total spent & verified payment method) with a glowing green border and a prominent "🔥 Top Client" badge. • High-Yield Targeting: Focus your proposals on high-paying, established clients who respect freelancers' time. ⚡ PERFORMANCE & PRIVACY: • Zero Lag: Ultra-lightweight algorithm with zero impact on browser speed or page loading times. • 100% Private & Secure: Does NOT collect user keystrokes, personal data, or Upwork credentials. All filtering happens locally on your browser. Transform your Upwork job hunting experience today with Upwork Feed Cleaner & Trust Filter!
Aug 3, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.