Hello, I have a question regarding hotel pricing. I’m searching for prices using the ‘all_inclusive_price’ tag. On one hand, everything works fine, but on the other hand, there are instances (quite often) where the price under this tag is lower than the search on the website. Has anyone encountered this issue and can offer assistance? I would be very grateful!
code:
"import requests
url = "https://apidojo-booking-v1.p.rapidapi.com/locations/auto-complete"
city_name="Paris"
querystring = {“text”:city_name,“languagecode”:“en-us”}
headers = {
“X-RapidAPI-Key”: “fb37534b9cmsh41f27a9af552abdp16ca4ejsn0dd38bdd2404”,
“X-RapidAPI-Host”: “apidojo-booking-v1.p.rapidapi.com”
}
response = requests.get(url, headers=headers, params=querystring)

data=response.json()
for entry in data:
city_ufi = entry.get(‘city_ufi’)
if city_ufi is not None:
fi=str(city_ufi)
break

url = “https://apidojo-booking-v1.p.rapidapi.com/properties/list”

search_id = "none"
s = []
s1=[]
s2=[]
s3=[]
s4=[]
n=20
for i in range(0, 40):
querystring = {
“arrival_date”: “2023-09-25”,
“departure_date”: “2023-09-28”,
“guest_qty”: “1”,
“search_type”: “city”,
“dest_ids”: fi,
“room_qty”: “1”,
“search_id”: search_id,
“price_filter_currencycode”: “EUR”,
“order_by”: “popularity”,
“languagecode”: “en-us”,
“travel_purpose”: “leisure”,
“offset”: str(n)
}

response = requests.get(url, headers=headers, params=querystring)
data = response.json()
print(data)
hotel_names = []
price_breakdowns=[]
accommodation_type_names=[]
distance_to_ccs=[]
review_scores=[]

if "result" in data and isinstance(data["result"], list):
    for hotel in data["result"]:
        hotel_name = hotel.get("hotel_name", "N/A")
        price_breakdown = hotel.get("price_breakdown", {})
        all_inclusive_price = price_breakdown.get("all_inclusive_price", "N/A")
        accommodation_type_name=hotel.get("accommodation_type_name", "N/A")
        distance_to_cc=hotel.get("distance_to_cc", "N/A")
        review_score=hotel.get("review_score", "N/A")
        hotel_names.append(hotel_name)
        price_breakdowns.append(all_inclusive_price)
        accommodation_type_names.append(accommodation_type_name)
        distance_to_ccs.append(distance_to_cc)
        review_scores.append(review_score)

if len(hotel_names)==0:
    break
search_id = data.get("search_id", "N/A")
print(hotel_names)
print(price_breakdowns)
s.append(hotel_names)
s1.append(price_breakdowns)
s2.append(accommodation_type_names)
s3.append(distance_to_ccs)
s4.append(review_scores)
n=n+20
print(i)
input()

f=[]
g=[]
for i in range(0,len(s)):
f1=[]
for j in range(0,len(s[i])):
f1.append(str(s[i][j])+"----"+str(s1[i][j])+"----"+str(s2[i][j])+"----"+str(s3[i][j])+"----"+str(s4[i][j]))
g.append(str(s[i][j])+"----"+str(s1[i][j])+"----"+str(s2[i][j])+"----"+str(s3[i][j])+"----"+str(s4[i][j]))
f.append(f1)
unique_values = set()
print(len(f))
for lst in f:
unique_values.update(lst)

result_list = list(unique_values)
result_list.sort()

print(len(result_list))
all=[]
for i in range(0,len(result_list)):
a=result_list[i].split("----")
all.append(a)
print(len(all))
print(all)
print(len(g))"