ebcrawler
This is a simple tool to get prices from SAS using their api.
Requirements
- Python3
- requests library (can usually be installed with
pip install requests) - Pandas
Usage
With the sasCrawler.py file or Jupyter Notebook, get results by calling function fetch_prices
a = fetch_prices(From, To, OutDate, Indate, Type)
From, To - IATA Airport Code
OutDate, Indate - Format YYYYMMDD
Type - "star"(Star Alliance award flights), "revenue" (Regular revenue fares) or "points" (SAS awards flights)
The output of the fetch_prices function is for now in json.
To parse the prices in to a Pandas DataFrame, use the function parse_results:
Example in Jupyter notebook:
from sasCrawler import fetch_price, parse_results
a = fetch_price("OSL", "HKG", "20190301", "20190308", "star")
df_out, df_in = parse_results(a)
The flights are now in their respective DataFrame table for exploration.
Next in line is a crawler that can check availability!