Google App Engine Jobs

I need a hands-off way to pull data from my Housecall Pro CRM, run it through ChatGPT for on-the-fly analysis, and push the results into a live dashboard that blends charts and tables. Currently, I believe that this can only be done with Zapier. The goal is to see all key performance indicators at a glance—sales, operational, marketing, financials without exporting a CSV again. Here’s how I picture it working: an automated script (Python, Node.js, or whatever language you’re most comfortable with) calls the Housecall Pro API on a schedule I can adjust. Raw data is cleaned, ChatGPT summarises insights or flags anomalies, and everything feeds straight into a front-end dashboard—Think Looker Studio, Power BI, or a lightweight custom web page—using a mixed layou...

I need a self-contained Python workflow that can read roughly 20,000 company names from an Excel sheet, run each name through Google, locate the official website or contact page, and then push that URL to ScrapeGraphAI’s Extract endpoint. Using the prompt, JSON schema and API key I will supply, the script should capture emails and mobile numbers and write them back to a new Excel file. You are free to build the browser layer with Selenium, Playwright, or any similar headless solution—whatever delivers the best stability. A straightforward XLSX output with sensible columns (company, website, email, phone) is perfectly fine for me. I am unsure how often Google will trigger CAPTCHA at this scale, so please include your recommended mitigation strategy (delays, rotating proxie...

Need Experienced Playwright/Python Developer to Fix Snapchat Web Chat Archiver (Text Extraction + Virtualized DOM) Project Overview I’ve built a personal Snapchat Web backup/archive tool using Python + Playwright. The tool already handles login persistence, scrolling, media extraction, media downloading, checkpoints/resume, transcript generation, and anti-bot delays. The idea of the script is to open chromium, select a chat and download all the media and texts within the chat and save it as a html file which can be viewed in the chat format. Current status: • Media extraction/download works correctly • Browser automation works correctly • Login/session persistence works correctly • Infinite upward scrolling works partially • HTML transcript generation work...

Project B — Daily Customer Feedback Aggregator We need an automation engineer to build a scheduled daily-data tool that aggregates customer reviews and feedback across our restaurant outlets. The tool pulls reviews from public and login-protected platforms, classifies them, writes to a Google Sheet, and posts a daily PDF summary to Slack. Strong preference for a stack that uses Claude Desktop with MCP / browser-control (or Playwright / Puppeteer with cookie-session reuse) for partner dashboards that require authentication. Pure API / HTML scraping is fine for public sources like Google Maps. The tool must be production-grade: idempotent, monitored, fault-tolerant, with per-platform fault isolation so a failure on one platform does not block the others. Source Platforms Swiggy &mdash...

I’m building a web-based platform that screens applicants automatically. The core workflow needs to: • parse incoming résumés/CVs, • embed both the résumé data and our job descriptions, • run a retrieval-augmented generation pipeline that compares the two, • return a clear numerical fit score so the recruiter can decide whether to proceed. All candidate data will be embedded with FAISS, while LangChain will orchestrate the retrieval and callouts to the OpenAI GPT endpoints. I already have the OpenAI key and hosting in place; what’s missing is the complete back-end logic, the scoring algorithm, and a simple front-end view that lists the ranked applicants and their matching rationale. Deliverables 1. End-to-end web applicat...

I want my WhatsApp business line to answer incoming messages automatically so customers receive an immediate, helpful reply no matter when they write. The flow should recognise keywords, pull the correct template, and return a natural-sounding message in seconds, without any manual intervention from my side. Scope • Design and implement a WhatsApp TextBot focused exclusively on automated responses. • Build a simple dashboard or configuration file so I can edit reply text and keywords on my own. • Make sure the solution respects WhatsApp Business API policies and delivers responses reliably 24/7. Technical notes I do not have an existing bot, so you may suggest the best route—Twilio, Meta Cloud API, or a comparable tool—as long as the final setup runs smooth...