Snapp/Tapsi price comparison

This repository is a project that enables you to fetch real-time prices from the Snapp and Tapsi ride-hailing services. It provides regular reports on Twitter and Telegram. Additionally, the repository includes configurations to create charts based on the collected price data, allowing for easy visualization and analysis using prometheus and grafana.

Stay informed about the Snapp and Tapsi prices and gain insights with the handy reporting and charting functionality provided by this project.

📊🚖📈 Some Reports around the prices are available on Telegram.

Components:

Price Fetcher

• fetches prices from snapp and tapsi
• saves them in a file

RUN:

# Add your routes to configs/routes.json
cp configs/routes.json.sample configs/routes.json

# Set your snapp/tapsi headers and coockies
# You can use browser inspector to get them
cp configs/snapp.json.sample configs/snapp.json
cp configs/tapsi.json.sample configs/tapsi.json

PYTHONUNBUFFERED=0 SCRAPE_INTERVAL=300 python3 price_fetcher.py | tee -a price_fetcher.logs

You can set RUN_ONCE environment variable to true to run the price fetcher only once and bypass the while loop (default value is false).

Tapsi Load Balancer

In order to bypass tapsi api waf, we need to change the domain ip on each request. tapsi_dns_load_balancer.sh does this for us. tapsi_dns_load_balancer.sh writes the domain ip to /etc/hosts on each timeout log.

# Open a new terminal
bash tapsi_dns_load_balancer.sh

Exception Handler

In case of getting banned by tapsi api waf or any other error, a "Use backup server" message will be logged by price_fetcher.py.
get_prices_from_backup_server.sh runs the price_fetcher on a backup server and downloads the prices file from it.

# Open a new terminal
bash get_prices_from_backup_server.sh

Exporter

• reads the file
• exports the data to /metrics endpoint

RUN:

cd src/exporter
FLASK_APP=src/exporter/app.py flask run --host 0.0.0.0 --port 5000

Prometheus

• scrapes the data from exporter

RUN:

docker run  --network host -d --rm -v prom_data:/prometheus -v /path/to/project/configs/prometheus.yml:/etc/prometheus/prometheus.yml --name prometheus prom/prometheus --storage.tsdb.retention.time=40d --config.file=/etc/prometheus/prometheus.yml --storage.tsdb.path=/prometheus --web.console.libraries=/usr/share/prometheus/console_libraries --web.console.templates=/usr/share/prometheus/consoles

Grafana

• reads the data from prometheus
• shows the data in a dashboard

RUN:

docker run --restart always --env-file /path/to/project/.env -d --name=grafana --network host -v grafana:/var/lib/grafana grafana/grafana

Grafana Image Renderer

• renders the dashboard as an image

RUN:

docker run --restart always -d --name=grafana-renderer --network host  grafana/grafana-image-renderer:latest

Price Reporter

• gets the panel images from grafana
• post them on social media
  • Telegram
  • Twitter

mkdir panels
# Set environment variables
cp .env.sample .env
# Set twitter headers and coockies
cp configs/twitter.json.sample configs/twitter.json

python3 price_reporter.py