InsTrip

This project built a travel website called InsTrip , which makes users to explore the most popular travel cities and photo spots on Instagram. To analyze Instagram data, this project created web scrapers to extract Instagram posts with travel-related hashtags and check-in data. It also used ChatGPT to provide travel destination introductions based on data analysis charts.

Tech stack

Data model

Get started

1. Set up environment

Create .env file to set environment variables needed in this project.

DB_USER=YOUR_DB_USER_NAME 
DB_PASSWORD=YOUR_DB_PASSWORD 
DB_HOST=YOUR_DB_HOST
DB_PORT=YOUR_DB_PORT 
DB_NAME=YOUR_DB_NAME 
API_TOKEN=YOUR_API_TOKEN 
IG_ACCOUNT=YOUR_IG_ACCOUNT 
IG_PASSWORD=YOUR_IG_PASSWORD

2. Launch the web app using Docker

Run docker-compose.yml to create the docker container for the Django web application.

docker-compose -f docker-compose.yml build
docker-compose -f docker-compose.yml up

Run the web scrapers to get public data on Instagram

Here are two web scrapers that can be executed through any scheduling tool.

• ig_post_scraper.py: extract posts with travel hastag, like: #日本旅遊 or #韓國旅遊.
• ig_location_scraper.py: extract location information of the posts with check-in.

$ python web_scraper/ig_post_scraper.py [country name]
$ python web_scraper/ig_location_scraper.py

API document

Endpoint

• api/top/city/{country}: get the ranking of the most popular cities among tourists on Instagram
• api/city/{city}/info: get the city information
• api/top/location/{city}: get the ranking of the most popular photo attractions (group by the category of attractions)