Google App Engine Jobs

I need help fixing a single sheet in a Google Spreadsheet. I'm unsure about applying data filters and may need your advice on that. Ideal Skills and Experience: - Expertise in Google Sheets - Experience with sorting and applying filters - Ability to provide guidance on data management

I need a compact Python crawler that pulls public content from Twitter, Instagram and LinkedIn, covering text, image and video posts for any handle I feed it. Here’s the flow I have in mind. The script collects the raw post data (caption, hashtags, basic engagement numbers and, where accessible, image/video URLs) through whichever mix of libraries makes sense—Tweepy or Twitter API v2 for Twitter, Instaloader or Selenium for Instagram, and the official or unofficial LinkedIn API for LinkedIn. After normalising everything into a common JSON schema, the crawler should pass that dataset to an LLM endpoint (OpenAI or similar) and receive back a concise, structured report that includes: • Brand sentiment (positive / neutral / negative trends) • Key thematic buckets t...

I need a single Google Sheet that lets me type a Home Depot or Lowe’s model number in one column and, without any extra clicks, instantly fills the rest of the row with: • Brand • Product title • Full description • Current price on Home Depot • Current price on Lowe’s • Main image URL I’d like the sheet to refresh these fields automatically once every day so I always see up-to-date pricing. I’m happy to use the HASData API (or another service if you can show a better option), and I’ll cover the subscription cost myself; I just need you to wire everything up in Apps Script or another reliable method so the calls stay within API limits and don’t break if the catalog grows. Deliverables • A Google Sheet t...

Title: Senior Python Developer for US Data Pipeline and iOS Verification System (Phase 1) Project Description Suggestion: Overview: > We are looking for a senior Python developer to build an automated data scraping and iOS verification pipeline based in the US. The goal for Phase 1 is to acquire over 10,000 verified leads per day. Core Tasks: 1. Data Scraping: Extract data (name, phone number, age, gender, carrier) from US people search websites. 2. Anti-detection: Must integrate the API and set render=true and super=true. 3. Data Filtering: Implement automatic filtering by wireless/phone number and age range (50-90 years old). 4. Data Verification: Integrate the LoopLookup API to verify iMessage activation status. 5. Data Export: Automatically sort and export data to tagged .t...

I already run on the WhatsApp Business API and now need it properly connected to Meta so I can handle both automated replies and bulk messaging from one place. Here is what I expect: • Map my current WhatsApp Business API number into Meta Business Manager, verify it, and activate webhooks. • Build out the automated flow reply I have in mind so it can answer customers instantly—this includes template approval inside Meta and any required server-side logic. • Enable a straightforward method for sending large-volume marketing broadcasts that stays within Meta’s policy limits (24-hour window, opt-in, template use). You may use Node.js, Python, PHP or another language you’re comfortable with, as long as the final solution is documented and ready for m...

I have an inventory spreadsheet in Google Sheets that I now want to turn into a fully-functional AppSheet application. The goal is to keep managers up-to-date in real time while making the underlying data easy to maintain and analyse. Here is what I need: • Structure the Google Sheet so it works seamlessly as the data source for AppSheet, including sensible column names, data types and simple validation rules. • Build an AppSheet app connected to that sheet, giving managers clean screens for data entry and updates, interactive dashboards for visualising stock levels and trends, and automated alerts (e-mail or in-app) when thresholds are hit. • Apply the proper security filters and user roles so only managers see and edit the information. • Walk me through the fi...

I’m building CareSync, an AI-assisted medication manager that puts caregivers first. The goal is a seamless experience on both Android and the web where a single profile, stored in Firebase Firestore, keeps every prescription, reminder and adherence metric perfectly in sync. The stack is locked in: • Python Flask will expose a clean, versioned REST API. • Firebase Auth secures every call, and Firestore holds all structured data. • Android is written in Kotlin, following Jetpack best practices and a repository-pattern clean architecture. • A lightweight web dashboard (React, Flutter Web or another modern framework you’re comfortable with) should consume the same endpoints so information mirrors in real time. Core functionality I need you to deliver...

I need a Selenium-based solution that runs reliably on Windows and opens Google Chrome to simulate human visits to LinkedIn (and occasionally other) profile URLs listed in a Google Sheet. For each URL the program should: • Pull the next unused link from the sheet • Load the page in Chrome, wait a random time between 20 seconds and 3 minutes • Apply truly randomized scrolling patterns while the profile is open so behaviour looks organic • Fire a webhook the moment the visit completes, passing back any ID or payload I define so our CRM reflects the touch instantly Configuration items such as Google Sheet ID, webhook endpoint, minimum/maximum dwell time, and daily visit caps should live in a simple file I can edit without touching code. A short README on installi...

We are building a full internal marketplace analytics web system, not just a reporting script. The system is designed to combine competitive intelligence with internal sales and stock analytics in a single interface. Functional Requirements The system must provide the following capabilities: 1. Product and SKU structure - Each product must be split into individual SKUs based on flavor and volume. - All analytics and reports are built at the SKU level. 2. Our product analytics (primary focus) - Current stock levels (total and per SKU). - Sales volume for selected periods (daily / weekly / monthly). - Reorder recommendations based on stock thresholds and sales dynamics. - Revenue calculations per product and per SKU with period filtering. 3. Competitive analytics - Automated collection o...