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I want every lead that lands in WATI to appear—instantly—in our shared Excel file on the network drive. The same sheet must stay completely in-sync with WATI from that moment on: new messages, replies, tags, status changes, updated contact details, even the full conversation history should flow in automatically without anyone exporting or copying data by hand. Here is the core flow I need built and deployed: • Detect each new contact or message event in WATI (we rely on WATI as our main CRM layer, though we also keep a separate CRM instance). • Push or update the matching row in the shared Excel workbook in real time so the team can open the file at any moment and see a live, chronological record of every interaction. • Keep two-way integrity: if a lead’s details change inside WATI, the Excel sheet shows it right away; if a brand-new WhatsApp thread starts, the sheet gains a fresh row with all meta-data populated. I’m open to the most reliable route, whether that’s WATI webhooks + a small Python/Node script, Zapier/Make scenarios, Power Automate, or another integration platform you recommend. What matters is: 1. Zero manual steps after launch. 2. No broken links to the shared network location for the Excel file. 3. Clear deployment documentation so we can maintain the setup internally. 4. A brief walk-through once it’s live. Let me know which tools you would use, how you’ll structure the real-time sync, and the timeline you’d need to get us from concept to a fully tested, hands-off solution.
Project ID: 40510008
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14 freelancers are bidding on average ₹1,567 INR for this job

Hi, You’ve got a hidden operational pain here: the team doesn’t need another export job, they need a living record that never drifts from WATI. I can build that sync cleanly. I’ve handled API-driven automations and data pipelines with webhooks, Python/Node, and Excel-connected workflows, and I’d structure this so every new contact, message, tag, status change, and contact update is captured and written to the shared workbook reliably. I’ve shared an initial estimate based on your description, and once we go over a few technical or functional details, I’ll confirm the exact cost and delivery schedule. I’d likely use WATI webhooks plus a small integration layer, with careful row-matching, retry handling, and a deployment setup that avoids broken network-drive links. After launch, I’ll provide clear documentation and a live walkthrough so your team can maintain it confidently. Should the Excel file store one rolling row per lead, or a full chronological event log for every interaction? A few things I’d like to confirm: is the Excel file on a Windows shared drive or a cloud-synced location, do you want a single latest-state row per lead or a full event log, and does WATI expose the exact events you need for conversation history in your account plan? Looking forward to your reply so we can finalize the exact plan. Thanks, Asad
₹1,165 INR in 24 days
8.2
8.2

Build a hands-off, real-time WATI ⇄ Excel sync using event-driven webhooks plus a resilient sync service. You’ll get: (1) instant row creation for every new lead/thread, (2) continuous updates for messages, replies, tags, status changes, contact details, and (3) full conversation history streamed into the sheet in chronological order, without any exports or copying. Recommended implementation: WATI webhooks to capture contact/message lifecycle events → a sync engine (Node.js/Python) that upserts rows by a stable key (e.g., WATI contactId/threadId) → Excel writer that safely updates the workbook and prevents network-drive breakage (retry, locking strategy, and change verification). If your network share can’t support concurrent writes, we’ll use a staging file strategy and atomic publish to keep the shared file always usable. Deployment docs + internal walk-through included, with monitoring and a rollback plan. Insert the required mapping where you want 'To ensure zero mismatches, which unique identifiers from WATI (contactId, threadId, phone, or custom tag) should be the primary key for row upserts, and what exact Excel columns are required for messages, tags, and status history?' to guide the exact column/key design. Timeline: 14 days from concept to fully tested go-live with a short handover.
₹1,320 INR in 14 days
7.6
7.6

As an experienced Full-Stack Developer with over a decade of experience across a range of technologies including Node.js, PHP, and Python, I firmly believe I am the right fit to implement this complex integration project for you. With exemplary proficiency in web and database development, your WATI-to-Excel sync automation will streamline your operations. My extensive skills have provided me ample experience with a variety of APIs and integrations including those required for WATI. Drawing on this knowledge, we will establish a stable groundwork using WATI webhooks alongside Python or Node.js to ensure real-time updates between WATI and Excel. This will allow each new contact on WATI to appear immediately in the synchronized Excel file without any input from your team. Moreover, I understand the importance of maintaining a clear flow of data between your contacts in WATI and how it is presented in Excel. To ensure this, I'll devise a two-way integrity process where contact details changes made in WATI are automatically reflected in the Excel document in real-time. Rest assured, I will provide you with clear deployment documentation so that you can maintain it yourself after completion while also offering a comprehensive walk-through
₹750 INR in 7 days
6.9
6.9

I can build a fully automated real-time WATI-to-Excel sync solution using webhooks and a custom integration, ensuring all leads, messages, tags, status updates, and conversation history stay synchronized with zero manual intervention.
₹2,050 INR in 7 days
5.4
5.4

Hi, I understand your requirement for a fully automated, real-time sync between WATI and a shared Excel file where every lead, message, and update is instantly reflected without any manual work. I have experience building webhook-driven automation systems and real-time data sync pipelines using Node.js/Python, Zapier/Make, and API integrations, especially for CRM and messaging platforms. My focus will be building a reliable, fault-tolerant sync layer so WATI becomes the single source of truth while Excel stays continuously updated for your team. ✔ WATI webhook integration (new leads, messages, status changes) ✔ Real-time Excel sync on network drive (row create/update logic) ✔ Two-way data integrity handling (updates reflected instantly) ✔ Full conversation + metadata logging structure ✔ Retry system to prevent data loss or sync failures ✔ Clean deployment (Node.js/Python service or automation tool) ✔ Documentation + setup walkthrough for internal maintenance I would typically recommend a lightweight Node.js service using WATI webhooks + Excel API/CSV bridge (or Power Automate if your environment prefers Microsoft stack) to ensure stable real-time syncing. I can deliver a fully tested, hands-off system with proper logging and fail-safes so the sync runs continuously without manual intervention. Best regards, Usama K
₹3,000 INR in 2 days
2.6
2.6

Hello! I understand you need a fully hands-off WATI-to-Excel sync where every new lead, message, tag, status update, contact change, and conversation history is reflected automatically in a shared workbook with no manual exports. For reliability, I’d structure this using WATI webhooks + a small Python/Node.js sync service. The service would listen for WATI events, match contacts by phone/lead ID, update or create the correct Excel row, and append chronological conversation history. If the workbook is on OneDrive/SharePoint, I’d use Microsoft Graph; if it’s a true network drive, I’d deploy the script on a machine/server with stable access to that path to avoid broken links. I can also provide clear deployment documentation and a short walkthrough after testing. Timeline: approximately 3–5 days for a fully tested version, depending on WATI API access and the Excel/network setup. I can prepare a free pre-award sample/proof of concept showing the webhook-to-Excel update flow so you can confirm the approach before awarding.
₹1,050 INR in 2 days
2.1
2.1

Hi I will build a fully automated, real-time sync between WATI and your shared Excel workbook so every new lead, message, tag, status update, and conversation change appears instantly without any manual exports or data entry. I understand reliability is critical, especially with a network-drive Excel file and the requirement for a complete chronological interaction history. What you’ll get: • Real-time WATI-to-Excel synchronization using the most reliable integration method • Automatic updates for contacts, messages, tags, statuses, and conversation history • Deployment documentation and maintenance guide • Testing, validation, and walkthrough after launch I’m a verified freelancer and I’ve completed similar projects with 5⭐ feedback for accuracy and delivery. Timeline: 3–5 days Bid: 1050 INR Please send me a message so we can get started immediately.
₹1,050 INR in 3 days
2.1
2.1

Hi — I build exactly this kind of WATI -> Excel sync. The flow: a Pabbly Connect workflow triggered by WATI webhooks (new contact, new message/reply, tag change, status change, contact update) that writes or updates the matching row in your sheet, so it stays in sync without anyone exporting by hand — including conversation-history rows. One design point I want to be straight about up front: a cloud automation (Pabbly) cannot write directly to a file sitting on a local network drive — it can only reach a cloud-hosted sheet. So two clean options: (a) keep the master in Excel on OneDrive/SharePoint and Pabbly updates it live, or (b) keep it on the network drive and I add a small local sync agent that pulls the cloud copy down to that drive on a schedule. Either works; I'll set it up end to end. To start I need your WATI plan (API access) and your Pabbly account. Delivery ~4 days. Quick question: where does the Excel live today — OneDrive/SharePoint, or strictly the on-prem network drive? Happy to keep everything here in chat.
₹1,050 INR in 4 days
0.4
0.4

You need every WATI event — new contacts, messages, replies, tags, status changes — to land instantly in your shared Excel file with zero manual steps. Here's exactly how I'd build it. WATI webhooks push each event to a lightweight Python listener (deployed on your server or a small VPS). The listener normalises the payload and writes or updates the matching row in your network Excel file via openpyxl — no Zapier fees, no broken third-party links, runs 24/7. Two-way integrity is handled by a unique contact ID as the row key: new thread → new row with full metadata; existing contact updated in WATI → same row updated in the sheet within seconds. Full conversation history appended in a dedicated column, chronologically. I'll document every component so your team can maintain it without me: webhook setup in WATI, listener config, Excel path mapping, and a walkthrough call once it's live. What does your network drive path look like — mapped drive letter or UNC path? That determines the deployment approach.
₹800 INR in 4 days
0.0
0.0

Hi, I can build a fully automated WATI-to-Excel sync solution — zero manual steps after launch. My recommended approach: WATI Webhooks + lightweight Python/Flask service + openpyxl for Excel writes. How it works: 1. WATI sends webhooks on every new contact, message, status change, or tag update 2. Flask endpoint receives and processes each event in real time 3. Python script updates the shared Excel file: new rows for new contacts, in-place updates for changes 4. Full conversation history logged chronologically per contact Why this stack over Pabbly/Zapier: • No subscription costs — runs on your own server • Handles high message volume without rate limits • Full control over data mapping and error handling • Easy to extend to your separate CRM later Deliverables: • Deployed webhook service + Excel sync script • Deployment documentation • Walkthrough session Bid: ₹1,200 fixed. 50/50 milestone payments. Best regards
₹1,200 INR in 5 days
0.0
0.0

Kolkata, India
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Member since Mar 27, 2020
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