m3nu · March 6, 2016 05:31 · Mar 6, 2016
diff --git a/uber-ride-history.py b/uber-ride-history.py
@@ -0,0 +1,82 @@
+#!/usr/bin/env python2
+
+"""
+Semi-manual script to download trips and cost.
+
+Currently needs manual steps in 2 places. And chrome-selenium.
+(or any other Selenium browser)
+
+You also want to adapt the currencies to your needs.
+
+pip3 install uber_rides selenium pandas
+"""
+
+import re
+import pandas as pd
+from selenium import webdriver
+from uber_rides.client import UberRidesClient
+from uber_rides.auth import AuthorizationCodeGrant
+
+RIDE_DETAILS_URL = 'https://riders.uber.com/trips/{}'
+
+def get_uber_client():
+    # register app on https://developer.uber.com
+    auth_flow = AuthorizationCodeGrant(
+        'XXX',
+        {'history', 'request_receipt'},
+        'XXX',
+        'http://localhost'
+    )
+    auth_url = auth_flow.get_authorization_url()
+    # Confirm auth_url and paste below.
+    session = auth_flow.get_session('RESPONSE URL')
+    client = UberRidesClient(session)
+    return client
+
+def get_rides_df(client):    
+    rides = []
+    i = 0
+    while True:
+        resp = client.get_user_activity(limit=50, offset=i)
+        i += 50
+        if len(resp.json['history']) > 0:
+            rides += resp.json['history']
+        else:
+            break
+
+    rides_sel = [ {'request_id': e['request_id'],
+                     'distance': e['distance'], 
+                     'city': e['start_city']['display_name'], 
+                     'time': e['start_time']} for e in rides]
+    df = pd.DataFrame(rides_sel)
+    df.time = pd.to_datetime(df.time*1e9)
+    return df
+
+driver = webdriver.Chrome()
+driver.get('https://riders.uber.com/trips/')
+# Login to uber in selenium browser.
+
+def get_price_km(request_id):
+    XP_KM = '//*[@id="slide-menu-content"]/div/div[2]/div/div/div[2]/div[3]/div/div[1]/div[2]/div[2]/div/div[2]/h5'
+    XP_PRICE = '//td[@class="text--right alpha weight--semibold"]'
+
+    driver.get(RIDE_DETAILS_URL.format(request_id))
+    price = driver.find_element_by_xpath(XP_PRICE).text
+    km = driver.find_element_by_xpath(XP_KM).text
+    return (float(km), price)
+
+def get_eur_price(price):
+    currencies = {u'RM': 4.5,
+                  u'₫': 25000,
+                  u'฿': 40}
+    price = re.sub(',', '', price)
+    price_float = float(re.findall('\d+\.\d+', price)[0])
+    for currency in currencies.keys():
+        if currency in price:
+            return price_float / currencies[currency]
+
+df['km'], df['price'] = zip(*km)
+df['eur'] = df.price.apply(get_eur_price)
+
+
+