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I want a lightweight CRM that lives in Google Sheets and is fed by a Google Form. When a new lead is submitted through the form, the data should flow straight into a master sheet, automatically assign a unique ID, and show up on separate tabs that reflect our sales-tracking focus. The only metric I care about right now is where each lead sits in the pipeline. I have draft stages but I’m open to your suggestions if there’s a cleaner way to visualise progress. What matters is that I can move a lead from one stage to the next with a simple dropdown or checkbox and have that change reflected everywhere else instantly. Key needs • Google Form → Google Sheets integration with zero manual copy-paste • A clear pipeline board or dashboard that updates in real time as ...

I’m looking to replace a tedious manual copy-paste process with a reliable workflow that pulls data directly from a set of public websites and feeds it into my spreadsheet every day. I already know the exact pages and the fields I need; what I need from you is an automated solution—ideally a clean, well-commented script in Python using libraries you feel are best suited (Scrapy, BeautifulSoup, Selenium, or a combination). The final output should be a structured CSV (or Google Sheet via API) that mirrors my current column layout so I can slot it straight into existing reports without any reformatting. The script must run unattended on Windows, handle occasional site layout changes gracefully, and log any rows it can’t capture so I can review them later. A quick README exp...

Projekt leírása (Project Description): ​Overview: I am looking for a skilled developer to fix an existing mobile application that has stopped updating due to a 403 Forbidden error. This is likely related to an expired or incorrect API key/authentication that needs to be replaced or reconfigured. ​Beyond the fix, the final goal is to have the app fully functional (updating continuously) and successfully published/updated on the Google Play Store. ​Key Responsibilities: ​Troubleshooting: Identify the root cause of the 403 error and restore the connection between the app and the data source. ​API Management: Update API keys and ensure secure communication. ​App Update: Ensure the app fetches and displays live data correctly and continuously. ​Google Play Console: Handle the rele...

I need a reliable bulk-SMS platform that lets me compose a message once, load thousands of numbers, and schedule exactly when every batch leaves the gateway. The core requirement is scheduling—think calendar-style controls or cron-like flexibility—so campaigns can be created days in advance and fire automatically, even if I’m logged out. Key functions I expect: • Upload or paste recipient lists (CSV, TXT, or manual entry). • Create, edit, and delete campaigns with a clear “send at” field. • Real-time status dashboard showing queued, sent, failed, and delivered counts. • Simple REST or HTTP API so my existing CRM can trigger sends. • Basic sender ID or shortcode handling in markets that allow it. I’m open on stack&mdas...

Google Search Trends Analysis (Python) ## Project Overview This project analyzes **Google Search Trends data** using Python to understand how a keyword's popularity changes over time and across regions. The analysis covers **15 countries**, compares **time-wise interest**, and explores **related keywords** to uncover search behavior patterns. ## Objectives * Analyze time-wise search interest of a keyword * Compare keyword popularity across 15 countries * Identify and analyze related search keywords * Visualize trends for better insights ## Tools & Technologies * Python * Pytrends (Google Trends API Wrapper) * Pandas * NumPy * Matplotlib * Seaborn * Jupyter Notebook ## Project Structure ``` ├── google data analysis # Main notebook ├── # Proj...

We need a Python expert to build an end-to-end automated web-scraping and data-processing system for German B2B directories. The goal is to eliminate all manual steps — scraping, cleaning, deduplication, enrichment, and export — within 15 days. You’ll design and implement a high-speed, fault-tolerant pipeline that scrapes ~10 directories, normalizes data (including Umlauts and formatting), removes duplicates, detects updates, and exports clean structured data automatically. ⸻ Core Responsibilities • Develop asynchronous scraping system (Python 3.11+, aiohttp/httpx/Scrapy/Playwright). • Build deduplication & change-detection logic using hash comparison and timestamps. • Design and connect central database (PostgreSQL + SQLite) to store unique compa...

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...