Wishy
linkedin-comments-scraper
| Wishy | linkedin-comments-scraper | |
|---|---|---|
| 2 | 2 | |
| 0 | 71 | |
| - | - | |
| 2.7 | 1.0 | |
| about 1 month ago | 3 months ago | |
| Python | Python | |
| MIT License | - |
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Wishy
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Using proxies to access Amazon.
Github link to project
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Questions regarding a wishlist app I want to build.
So I have a little project I’m embarking upon where I can get scrape the web for book prices, update those in a database, send out emails for pricing changes, and hopefully more. I’m hoping to get it started on a simple Raspberry Pi 4 4gb. Currently I’m writing the code in Python, using Postgres for the database. My question before I get too involved in the project is, what languages should I use? I program in C++ daily for work and have more experience with compiled languages. Would another language/database be more suited to run this on such a small device? I’m also looking at maybe learning Docker to help with containerization, but I’m not even sure if I need it. Any and all advice is welcome, and here’s the GitHub for anyone interested in poking around. Thanks in advance!
linkedin-comments-scraper
- Linkedin Comments Scraper - Script to scrape comments (including name, profile picture, designation, email(if present), and comment) from a LinkedIn post from the URL of the post.
- Linkedin Comments Scraper - Script to scrape comments (including name, pfp, designation, email(if present), and comment) from a LinkedIn post from the URL of the post.
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