🕷️️ Job Radar • SCRAPING

freelancer.com 2026-04-20 🟡

🔹 Generate a structured dataset of active Indian online sellers from Instagram, Amazon, Flipkart, and Meesho
👤 Client: 🇮🇳 Hanumangarh, India Member since 2019-07-22
💰 Price: $10 Average bid
🚩 Problem: Collecting accurate and relevant data on active Indian online sellers across multiple platforms while ensuring compliance with terms of service.
📦 Existing: Not specified

Specifications:

[Target] - Identify and collect information on at least 1,000 unique active Indian online sellers from Instagram, Amazon, Flipkart, and Meesho.
[Method] - Use web scraping tools that comply with each platform’s terms of service. Manually verify the collected data for accuracy and remove spam accounts.
[UI/UX] - Not applicable
[Stack] - Python (BeautifulSoup, Selenium), Pandas, Excel/CSV
[Security] - Ensure compliance with all platforms' scraping policies; use secure storage methods for sensitive information.
[Format] - Deliver one Excel or CSV file containing the following columns: Name | Mobile Number | Instagram Handle | Platform(s)

Workflow:

1. Define the criteria for identifying active sellers on each platform (e.g., recent activity, verified accounts).
2. Develop a scraping strategy that adheres to each platform’s terms of service and legal requirements.
3. Implement web scraping using Python libraries like BeautifulSoup or Selenium to collect seller data from specified URLs.
4. Clean the scraped data by removing duplicates across platforms and verifying the accuracy of mobile numbers.
5. Manually review a sample of 5% of the collected data for errors, spam accounts, and other inconsistencies.
6. Export the cleaned dataset into an Excel or CSV file with the required columns: Name | Mobile Number | Instagram Handle | Platform(s).