🕷️️ Job Radar • SCRAPING

freelancer.com 🟠 2026-05-09

🔹 Automated Customer Feedback Aggregator
👤 Client: 🇮🇳 New Delhi, India Member since 2026-05-09
💰 Price: $86 Average bid
🚩 Problem: Aggregating customer reviews from multiple platforms into a structured format for daily analysis.
📦 Existing: Not specified

Specifications:

[Target] Aggregate customer feedback across restaurant outlets from various public and login-protected platforms.
[Method] Use automated scraping tools (Claude Desktop, Playwright) with authentication handling for partner dashboards. Pure API access for public sources like Google Maps.
[UI/UX] Not applicable
[Stack] Python with libraries like Selenium, BeautifulSoup, or Playwright; Google Sheets API; Slack API
[Security] Service-account based authentication for Google Sheets; no OAuth prompts in production; secure handling of login credentials and API keys.
[Format] JSON for structured data storage; CSV export for backup purposes.

Workflow:

1. Define outlet list, partner dashboard logins, and Google Business Profile access details during kick-off.
2. Develop modular scraper components for each platform (Swiggy, Zomato, Google Maps, etc.).
3. Implement sentiment analysis and category tagging logic based on review text and star ratings.
4. Integrate with Google Sheets API to append data without overwriting existing content.
5. Create daily PDF summaries using Slack API for distribution in designated channels.
6. Schedule the tool to run daily at 9:00 AM IST, with fault isolation mechanisms for per-platform failures.
7. Implement retry logic for transient network issues and monitor system health.