Best We Hotel BigQuery

Get Best We Hotel reviews into BigQuery.

One endpoint call, the BigQuery setup steps, and a field-to-column map. Then keep it refreshing on a schedule.

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The pieces

One source, one destination.

Best We Hotel Best We Hotel

Best We Hotel adds Jin Jiang's China-focused hotel catalogue, bilingual property content, guest reviews, and direct CNY room rates for teams that need stronger mainland coverage. Here the reviews endpoint pours that text into BigQuery as sortable rows.

BigQuery BigQuery

BigQuery wants rows, not API calls. A small scheduled job fetches the JSON, flattens the fields you care about, and appends them to a table, so history accumulates and SQL does the rest. On this page it holds Best We Hotel reviews, refreshed from one endpoint call.

The call

One endpoint returns Best We Hotel reviews.

The Best We Hotel Reviews endpoint returns clean JSON for one hotel. Send your key in the X-API-Key header. See the endpoint docs for every parameter.

GET Best We Hotel Reviews /v1/bestwe/hotel/reviews https://api.stayapi.com/v1/bestwe/hotel/reviews?property_id=JJ1089
Setup

Wire BigQuery to the endpoint.

  1. 01

    Create a StayAPI account and copy your API key from the dashboard.

  2. 02

    Create a dataset and table with the schema below.

  3. 03

    Run the Python script below on a schedule (Cloud Run jobs and Cloud Scheduler work well).

  4. 04

    Query the table or point your BI layer at it.

Config

Python: fetch and insert.

This uses the real endpoint URL with the example Jin Jiang Tower Shanghai id. Swap in your hotel id and your API key.

load.py 
import requests, psycopg2

URL = "https://api.stayapi.com/v1/bestwe/hotel/reviews?property_id=JJ1089"
HEADERS = {"X-API-Key": "YOUR_API_KEY"}

resp = requests.get(URL, headers=HEADERS, timeout=30)
resp.raise_for_status()
body = resp.json()
records = body.get("data", {}).get("reviews") or body.get("reviews") or body.get("rooms") or []

conn = psycopg2.connect(dsn="YOUR_CONNECTION_STRING")
cur = conn.cursor()
for r in records:
    cur.execute(
        "INSERT INTO stay_data (rating, total, filter, filter_counts) VALUES (%s, %s, %s, %s)",
        (r.get("rating"), r.get("total"), r.get("filter"), r.get("filter_counts")),
    )
conn.commit()
cur.close()
conn.close()
Grab your API key

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Field mapping

Response fields to columns.

Each field from the Best We Hotel Reviews response, and a suggested column name.

Response field Column
property_id property_id
rating rating
total total
filter filter
filter_counts filter_counts
tags tags
room_types room_types
id id
content content
reviewed_at reviewed_at
reviewer_name reviewer_name
room_type_name room_type_name
travel_type travel_type
helpful_count helpful_count
scores scores
hotel_responses hotel_responses
page_info page_info
Result

What it looks like in BigQuery.

The fields from the mapping above land as columns: property_id, rating, total, filter. Refreshed on the schedule you set.

The columns you get

Every row is one hotel record from the Best We Hotel Reviews response. These fields become columns:

  • property_id
  • rating
  • total
  • filter
  • filter_counts
  • tags
Keep going

More Best We Hotel pipelines.

Other destinations
Best We Hotel reviews to Google Sheets Best We Hotel reviews to Looker Studio Best We Hotel reviews to Power BI
More Best We Hotel pipelines
Best We Hotel rates to Google Sheets Best We Hotel rates to Looker Studio Best We Hotel rates to Power BI Best We Hotel rates to BigQuery
Build with the API
Best We Hotel Reviews endpoint docs The full Best We Hotel API

Get your key.

Sign up, copy your key into the snippet above, and pull live Best We Hotel reviews into BigQuery.

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