🕷️️ Job Radar • SCRAPING

freelancer.com 🟡 2026-05-15

🔹 Extract metadata from multiple social media platforms
👤 Client: 🇫🇷 Paris, France Member since 2026-05-15
💰 Price: $30 Average bid
🚩 Problem: Need to unify data from Instagram, X/Twitter, Bluesky, and TikTok into a single structured format.
📦 Existing: Linktree with profile links for the creator on specified platforms.

Specifications:

[Target] Extract metadata (URL, date/time, title/caption, likes, comments, media link) from posts across Instagram, X/Twitter, Bluesky, and TikTok.
[Method] Use web scraping techniques to extract data. Ensure compliance with API usage limits where applicable.
[UI/UX] Not specified
[Stack] Python (with libraries like BeautifulSoup or Scrapy), APIs for Bluesky, proxies for Twitter and Instagram due to rate limits.
[Security] Follow best practices for handling sensitive data; ensure no unauthorized access to the extracted data.
[Format] Unified Excel or CSV file with standardized columns.

Workflow:

Gather all necessary links from the provided Linktree.
Set up a Python environment with required libraries (BeautifulSoup, Scrapy, etc.).
Develop scraping scripts for each platform, ensuring compliance with API usage policies and rate limits.
Extract metadata for each post on all platforms, converting dates to Europe/Paris timezone.
Clean and standardize the extracted data into a unified format.
Export the cleaned data into an Excel or CSV file.