Chrome Extension Expert for Booking Automation

@jayshreeganeshha

hi, chrome extension expert here, create more than 150 chrome extension so far which automate different task on different website on browser. i understood your requirements and i can handle it on time. please go through my reviews and discuss with me. I hope you will like to hire me. thanks

@vishal1145

Your extension is failing because automated requests don't replicate the browser's exact request fingerprint - missing anti-bot headers, stale CSRF tokens, or incorrect cookie scope will cause the booking API to reject your calls even if the logic is correct. Before I architect the fix, I need clarity on two things: Does the booking system use dynamic CSRF tokens that regenerate per session, or are they tied to a specific user action? And what's the failure pattern - are you getting 403s, empty responses, or is the slot data returning null? Here's the technical approach: - CHROME EXTENSION MANIFEST V3: Rebuild the request interceptor using declarativeNetRequest to capture and replay exact headers including User-Agent, Referer, and Origin that match live browser traffic. - PUPPETEER + CHROME DEVTOOLS PROTOCOL: Implement a HAR comparison script that diffs working vs failing requests to identify missing authentication headers or cookie attributes (SameSite, Secure flags). - TOKEN + SESSION MANAGEMENT: Extract CSRF tokens from DOM or response headers before each booking attempt and inject them into fetch calls with proper credentials mode to prevent stale token errors. - RETRY LOGIC WITH EXPONENTIAL BACKOFF: Add a queue system that retries failed requests with jittered delays to handle rate limiting without triggering anti-bot detection. I've debugged 8 similar automation projects where manual flows worked but scripts failed - usually it's a mismatch in request timing or missing authentication context. Let's schedule a 15-minute call to review your DevTools Network tab and pinpoint the exact divergence point.

@softwarelinkerrs

As the founder of SoftwareLinkers, I have successfully tackled a wide array of complex technical challenges across various sectors, including automation. Your Chrome extension project is a truly intriguing one, and I am itching to apply my expert skills to it. Serving clients in different fields has sharpened my grasp on RESTful API development, backend engineering, and web and mobile platforms integration - all of which are valuable for this project. Utilizing Puppeteer and other browser automation techniques, I have consistently delivered complete solutions that perform with the precision of real users. My deep understanding of headers, cookies, sessions, and tokens will surely come in handy as I debug using the DevTools' Network tab/HAR to ensure your extension complies exactly with browser requests. Being adept at identifying and addressing request mismatches gives me confidence that I can swiftly tackle issues interrupting your automated booking system. In addition to exclusively creating macros or scripts for automation, I focus on tweaking performance for overall system optimization. My high-frequency request handling experience can boost your extensions' speed and reliability. Banking on the trust my clients have placed in me over time is an assurance of my capability to deliver this project impeccably—on time and within scope. Your satisfaction is paramount; engage me to metamorphose your wish into a wholly functional Chrome extension.

@KarthikTechCon

Hi, I’m Karthik with 15+ years of experience in **Chrome extensions, browser automation, and request-level debugging**. What you’re facing is classic—automation fails because it **doesn’t fully replicate real browser behavior (headers, cookies, tokens, timing)**. I’ve fixed similar booking flows where manual works but scripts fail. **My approach:** • Compare **working vs failing requests** via DevTools (HAR analysis) • Replicate exact request flow: headers, cookies, CSRF/session tokens • Fix extension logic to behave like a **real user session** (not raw API calls) • Handle dynamic tokens, redirects, and timing dependencies **Enhancements:** • Add **retry + fallback logic** for reliability • Improve slot detection + submission timing • Optimize for speed while avoiding rate limits/blocking **Tech expertise:** • Chrome Extensions (Manifest v3), background/service workers • Puppeteer/Playwright for behavior validation • Deep understanding of **sessions, cookies, auth flows** **Deliverables:** • Fully working Chrome extension (ZIP) • Stable booking automation with accurate data fetching • Clean, maintainable code **Experience:** Solved multiple real-world automation issues where **manual flows worked but scripts failed due to request mismatches**. I focus on **precision + stability**, not trial-and-error fixes. Ready to debug and fix this quickly.

@dushyant317

i already done kind of project and have already booking extension, I will debug and align your extension’s automated requests with real browser behavior by replicating exact headers, cookies, tokens, and session flows using DevTools/HAR analysis and Puppeteer where needed. The result will be a stable, high-reliability Chrome extension with proper retry logic, accurate slot detection, and seamless booking automation.

@Premiya3

Hi, I can help you debug and improve your Chrome extension automation flow. I understand the main issue: the manual booking process works, but the automated requests are failing or returning empty/invalid responses. This usually happens when the automated flow does not fully match the real browser behavior, such as missing headers, cookies, CSRF tokens, session values, request order, timing, or payload data. I am good at debugging complex browser and frontend issues, and I can carefully compare the working manual requests with the failing automated ones using DevTools, Network tab, HAR files, and request logs.

@vimals87

Hello, I understand you need an advanced Chrome Extension developer to fix booking automation where manual flow works, but automated requests fail due to request mismatch, headers, cookies, tokens, or session handling. The goal is to deliver a stable, browser-like, reliable automation flow that fetches data correctly and completes actions without breaking the real user behavior pattern. Here’s what I can provide: • Analyze working vs failing requests using DevTools, Network tab, HAR files, headers, cookies, sessions, and tokens • Fix request handling inside the Chrome extension/Puppeteer flow to match valid browser behavior and improve slot detection • Add retry logic, fallback handling, cleaner error logs, and performance improvements while keeping the flow stable and compliant I bring over 10+ years of experience in Chrome Extension development, JavaScript, Puppeteer, browser automation, API debugging, session handling, and real-world request mismatch issues. I’ve worked on complex automation flows where scripts failed but manual browser actions worked correctly. Just to clarify a few things: 1. Is the extension using direct API calls, DOM automation, or Puppeteer-based browser control? 2. Can you share HAR files for both manual and automated failed flows? Please come to the chat box to discuss more about your project. Best regards Vimal

@mrkk4ever

Dear Client I saw your requirements regarding to develop a chrome extension for automation booking development . I can develop this bot based on your requirements ASAP. I developed many application is similar to your requirements. Let share further details. Thanks and Regards Kannadasan K

@Rajatt1099

Hi, If the manual flow works but automation fails, it’s almost always a session/state mismatch, not just headers. Fixing it means replicating the exact browser lifecycle, not just firing requests. I’ve handled similar cases. Quick questions: * Is this running via background script, content script, or Puppeteer? * Are tokens (CSRF, auth) rotating per request or per session? Approach: * Compare HAR logs (manual vs automated) to identify differences. * Rebuild the request flow with: • Correct headers (origin, referer, sec-fields) • Cookie jar persistence (session continuity) • Dynamic token extraction (DOM or network interception) * Move critical steps to browser-context execution (not raw fetch) if needed * Implement retry + fallback (expired tokens, timing issues) What I’ll fix: * Request structure mismatch * Token handling (CSRF, auth, hidden params) * Cookie/session sync across requests * Slot detection reliability * Submission flow stability Enhancements: * Smart retry logic (rate limits / failures) * Timing control to mimic real user behavior * Optional speed optimization without breaking flow Deliverable: * Stable Chrome extension (ZIP) * Clean, documented logic for requests/session handling I’ve debugged cases where APIs reject automation unless the request chain and timing match real browser behavior; this will follow that same approach. Regards, Rajat Trivedi