# ScraperCompany Hotel Rates API (All-in-One) (`scrapercompany/scrapercompany-hotel-rates`) Actor
One Actor for every ScraperCompany travel endpoint: Google Hotels calendars, offers and search, Booking.com, Expedia, Hotels.com, Agoda, Tripadvisor, Vrbo, Hostelworld, Airbnb, official hotel sites, rate comparison and Google Flights. Pick an endpoint, send a JSON body.
- **URL**: https://apify.com/scrapercompany/scrapercompany-hotel-rates.md
- **Developed by:** [ScraperCompany](https://apify.com/scrapercompany) (community)
- **Categories:** Travel, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $8.00 / 1,000 calendar requests
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event
## What's an Apify Actor?
An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.
For examples already wired to this Actor's own input schema, see the [API](#api) section below.
Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).
# README
## ScraperCompany Hotel Rates API (All-in-One)
ScraperCompany Hotel Rates is the power-user Actor: it exposes **every travel endpoint of the ScraperCompany API** behind one input. Choose an endpoint (Google Hotels price calendar, OTA offers, destination search, Booking.com, Hotels.com, Expedia, Agoda, Tripadvisor, Vrbo, Hostelworld, Airbnb search and calendars, official hotel websites, cross-OTA rate comparison, Google Flights) and pass the same JSON body the API takes. Batch many requests across different endpoints in one run. If you prefer guided forms, each source also has its own dedicated Actor.
Powered by the [ScraperCompany API](https://scrapercompany.com): requests, proxies, retries and anti-bot handling run on ScraperCompany's servers, so you don't need your own proxies or API key. Start a run, get structured JSON.
### What can this scraper do?
- **40+ travel endpoints** in one Actor, each billed at its own price.
- Google Hotels: **price calendars** (330 nights), **OTA offers**, room matrix, stay prices, destination search, details, reviews.
- OTAs: **Booking.com, Hotels.com, Expedia, Agoda, Tripadvisor, Vrbo, Hostelworld** rates, rooms, search and reviews.
- **Airbnb** search and priced availability calendars; **official hotel websites** (30+ booking engines).
- **Rate comparison** across four OTAs, and **Google Flights** search, date grid and booking options.
- Batch mixed endpoints with **requests**; relative dates like `"30 days"` work in any date field.
#### Endpoints
| Endpoint | What it returns | Price per request |
| --- | --- | --- |
| `/v1/search` | Google Hotels: find property token by name | $0.002 |
| `/v1/calendar` | Google Hotels: price calendar (up to 330 nights) | $0.008 |
| `/v1/serp/google_hotels_calendar` | Google Hotels: price calendar, SERP format | $0.008 |
| `/v1/stay` | Google Hotels: price one stay window | $0.005 |
| `/v1/offers` | Google Hotels: every OTA's offer for a stay | $0.005 |
| `/v1/rooms` | Google Hotels: room matrix across OTAs | $0.005 |
| `/v1/serp/google_hotels_property` | Google Hotels: property offers, SERP format | $0.005 |
| `/v1/hotels/search` | Google Hotels: destination search | $0.005 |
| `/v1/serp/google_hotels` | Google Hotels: destination search, SERP format | $0.005 |
| `/v1/hotels/property` | Google Hotels: property details | $0.005 |
| `/v1/hotels/resolve` | Google Hotels: resolve name with address | $0.018 |
| `/v1/hotels/reviews` | Google Hotels: reviews | $0.003 |
| `/v1/official` | Official hotel website rates | $0.006 |
| `/v1/ota/booking` | Booking.com: price calendar (up to 365 dates) | $0.012 |
| `/v1/ota/booking/rooms` | Booking.com: rooms and rate plans | $0.012 |
| `/v1/ota/booking/search` | Booking.com: find hotel slug | $0.002 |
| `/v1/ota/booking/reviews` | Booking.com: reviews | $0.003 |
| `/v1/ota/hotels` | Hotels.com: headline price | $0.012 |
| `/v1/ota/hotels/rooms` | Hotels.com: rooms and rate plans | $0.012 |
| `/v1/ota/hotels/search` | Hotels.com: find property id | $0.002 |
| `/v1/ota/hotels/reviews` | Hotels.com: reviews | $0.003 |
| `/v1/ota/expedia` | Expedia: rooms and rates | $0.012 |
| `/v1/ota/expedia/search` | Expedia: find property id | $0.002 |
| `/v1/ota/expedia/reviews` | Expedia: reviews | $0.003 |
| `/v1/ota/agoda` | Agoda: rooms and rates | $0.012 |
| `/v1/ota/agoda/search` | Agoda: find property id | $0.002 |
| `/v1/ota/tripadvisor` | Tripadvisor: OTA offers for a stay | $0.012 |
| `/v1/ota/tripadvisor/search` | Tripadvisor: find location id | $0.002 |
| `/v1/ota/tripadvisor/reviews` | Tripadvisor: reviews | $0.003 |
| `/v1/ota/vrbo` | Vrbo: listing quote | $0.012 |
| `/v1/ota/vrbo/search` | Vrbo: destination search | $0.002 |
| `/v1/ota/hostelworld` | Hostelworld: rooms and rates | $0.012 |
| `/v1/ota/compare` | Compare Booking.com, Hotels.com, Agoda, Expedia | $0.03 |
| `/v1/serp/airbnb` | Airbnb: search | $0.012 |
| `/v1/airbnb/calendar` | Airbnb: availability calendar with prices | $0.012 |
| `/v1/serp/airbnb_property_availability_calendar` | Airbnb: availability calendar, SERP format | $0.012 |
| `/v1/serp/google_flights` | Google Flights: search | $0.005 |
| `/v1/serp/google_flights_return` | Google Flights: return / next-leg options | $0.005 |
| `/v1/serp/google_flights_booking` | Google Flights: booking options | $0.005 |
| `/v1/serp/google_flights_calendar` | Google Flights: date-grid prices | $0.008 |
| `/v1/serp/google_flights_location_search` | Google Flights: airport/city lookup | $0.002 |
### What data can you extract?
| Field | Description |
| --- | --- |
| `endpoint` | Endpoint that served the request |
| `input` | The exact body sent |
| `(endpoint fields)` | Every field the endpoint returns, unchanged: see each endpoint in the API reference |
| `request_id / billed / scraped_at` | Traceability and billing |
Every dataset item also carries `input` (the exact request that was sent), `request_id` (quote it to support), `billed` and `scraped_at`.
### How to use ScraperCompany Hotel Rates API (All-in-One)
1. Open ScraperCompany Hotel Rates API (All-in-One) in Apify Console and go to the **Input** tab.
2. Pick an **Endpoint** and write its **Request body** in JSON (the default prices a Google Hotels calendar for 30 nights). To batch, fill **Batch of requests** with `{"endpoint": ..., "body": ...}` objects.
3. Adjust the options if needed. Dates accept an exact date (`2026-12-01`) or a relative one (`30 days` from today), so saved tasks and schedules never go stale.
4. Click **Start** and wait for the run to finish.
5. Download the results from the **Output** tab as JSON, CSV, Excel or HTML, or fetch them with the Apify API.
### Input example
This is the default input; running the Actor without changes prices 30 nights for the example Google Hotels property. A batch looks like `{"requests": [{"endpoint": "/v1/ota/agoda", "body": {"property_id": "8795952", "check_in": "30 days"}}, {"endpoint": "/v1/ota/booking/search", "body": {"name": "Moxy Boston Downtown", "city": "Boston"}}]}`.
```json
{
"endpoint": "/v1/calendar",
"body": {
"token": "ChUIoben2Mv6-CYaCi9tLzA3czVwbjQQAQ",
"days": 30,
"currency": "USD",
"market": "US"
},
"includeErrors": true,
"maxConcurrency": 3,
"maxRetries": 2
}
```
### Output example
One dataset item per request (trimmed here; real items contain every field the API returns):
```json
{
"endpoint": "/v1/calendar",
"input": {
"token": "ChUIoben2Mv6-CYaCi9tLzA3czVwbjQQAQ",
"days": 30,
"currency": "USD",
"market": "US"
},
"calendar_elapsed_s": 0.14,
"collection_id": "ratecol_0123456789abcdef0123456789abcdef",
"coverage": "84/84",
"elapsed_s": 0.31,
"market": "US",
"observed_at": "2026-08-07T01:23:45.678Z",
"rates": [
{
"adults": 2,
"currency": "USD",
"fees": 25,
"implied_tax_rate": 0.203217,
"los": 1,
"market": "US",
"provenance": {
"collection_id": "ratecol_0123456789abcdef0123456789abcdef",
"collector": "scrapingme.google_calendar",
"derivation": "normalized_upstream",
"egress_mode": "direct",
"observation_id": "rateobs_0123456789abcdef0123456789abcdef",
"observed_at": "2026-08-07T01:23:45.678Z",
"price_basis": "room_base_before_taxes_and_fees",
"requested_currency": "USD",
"requested_market": "US",
"returned_currency": "USD",
"schema_version": 1,
"source": "google_hotels_calendar",
"source_kind": "calendar",
"source_property_id": "ChUIoben2Mv6-CYaCi9tLzA3czVwbjQQAQ",
"upstream_rate_id": null
},
"rate": 332.01,
"rate_base": 332.01,
"rate_total": 424.48,
"rates_include_tax": false,
"stay_date": "2026-08-04",
"tax": 67.47
}
],
"requested_days": 90,
"tax_profile": {
"implied_tax_rate": 0.2032,
"rates_include_tax": false
},
"token": "ChUIoben2Mv6-CYaCi9tLzA3czVwbjQQAQ",
"unpriced_dates": [
"2026-08-19"
],
"validation": {
"ok": true,
"problems": []
},
"wire_bytes": 29804,
"request_id": "req_3f9c0d6e2b8a4c1f9e7d5b3a1c0e8f6d",
"billed": true,
"scraped_at": "2026-10-01T14:03:27.512Z"
}
```
A request that fails is saved with an `error` message instead (turn off **Include failed requests** to skip those). Failed requests are never charged.
### How much does it cost?
This Actor uses **pay-per-event** pricing: you pay for successful API requests, not for compute time.
| Event | Charged when | Price | Per 1,000 |
| --- | --- | --- | --- |
| `search-request` | A search or lookup endpoint: property token, OTA id search, Vrbo search, airport lookup. | $0.002 | $2.00 |
| `review-page` | One page of reviews from Google Hotels, Booking.com, Expedia, Hotels.com or Tripadvisor. | $0.003 | $3.00 |
| `property-request` | Google Hotels offers, rooms, stay, details or destination search; Google Flights search, return or booking options. | $0.005 | $5.00 |
| `official-request` | Rates from a hotel's own booking engine. | $0.006 | $6.00 |
| `calendar-request` | Google Hotels price calendar or Google Flights date grid. | $0.008 | $8.00 |
| `ota-request` | Booking.com, Hotels.com, Expedia, Agoda, Tripadvisor, Vrbo, Hostelworld rates; Airbnb search or calendar. | $0.012 | $12.00 |
| `resolve-request` | Hotel name resolved to candidates with address and phone. | $0.018 | $18.00 |
| `comparison-request` | One hotel compared across Booking.com, Hotels.com, Agoda and Expedia. | $0.03 | $30.00 |
| `offers-page` | Google Hotels calendar with mainstream basis or source spot-checks: one per extra offers page. | $0.005 | $5.00 |
| `priced-night` | One Airbnb check-in date priced with Airbnb's own quote. | $0.0015 | $1.50 |
Each endpoint is charged at its own price (see the table above). For example, 1,000 Google Hotels calendars cost **$8.00**, 1,000 Booking.com price calendars **$12.00**, and 1,000 property-token lookups **$2.00**.
- Failed requests (errors, invalid input, blocked upstream after retries) are **free**.
- Requests where the source returns nothing at all (no results, nothing priced) are saved but **not charged**.
- Set **Maximum cost per run** when you start a run and the Actor stops cleanly before going over it.
### FAQ
#### Do I need proxies or a ScraperCompany API key?
No. Proxy rotation, retries and anti-bot handling run on the ScraperCompany side, and the Actor is already connected to the API. You only pay the per-event prices above.
#### Where are the request fields documented?
In the ScraperCompany API reference at https://api.scrapercompany.com/docs. The body you send here is passed to the endpoint unchanged (except relative dates, which are converted to `YYYY-MM-DD`).
#### Should I use this or a dedicated Actor?
Use the dedicated Actors (Booking.com, Google Hotels, Airbnb, ...) for guided forms and tailored dataset views. Use this one when you already know the API or need several endpoints in one run.
#### Is it legal to scrape this data?
The Actor collects publicly available information that anyone can see without logging in. You are responsible for how you use the results: respect the source site's terms, copyright and privacy law (such as GDPR) and do not collect personal data without a lawful basis. If in doubt, ask a lawyer.
#### What happens when a request is blocked or rate-limited?
Rate limits (HTTP 429) and temporary errors (5xx) are retried automatically with exponential backoff, respecting `Retry-After`. If a request still fails it is saved with the error message and not charged, and the rest of the batch keeps going. A run only fails when every request failed.
#### Why did a request return an error?
Read the `error` field: validation problems (for example a malformed date or an unknown id) are reported exactly as the API sees them. Fix the input and run again; failed requests cost nothing.
#### How many requests can I run at once?
Any number per run. The Actor sends up to 3 requests in parallel by default (change it under **Run options**); larger batches simply take longer.
### Use it from your code
Call the Actor from any language through the [Apify API](https://docs.apify.com/api/v2). With the JavaScript client (`npm install apify-client`):
```javascript
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('scrapercompany/scrapercompany-hotel-rates').call({
"endpoint": "/v1/ota/agoda",
"body": {
"property_id": "8795952",
"check_in": "30 days",
"nights": 1,
"currency": "USD"
}
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```
With Python (`pip install apify-client`):
```python
import os
from apify_client import ApifyClient
client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("scrapercompany/scrapercompany-hotel-rates").call(run_input={
"endpoint": "/v1/ota/agoda",
"body": {
"property_id": "8795952",
"check_in": "30 days",
"nights": 1,
"currency": "USD",
},
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
```
You can also schedule runs, chain them with webhooks, or connect them to Make, Zapier, n8n, Google Sheets and other integrations from the **Integrations** tab.
### Related scrapers
- [Google Hotels Price Calendar Scraper](https://apify.com/scrapercompany/google-hotels-calendar-scraper)
- [Booking.com Hotel Rates Scraper](https://apify.com/scrapercompany/booking-hotel-rates-scraper)
- [Hotel Price Comparison](https://apify.com/scrapercompany/hotel-price-comparison)
### Support
Questions, a field you need, or a site that stopped working? Open an issue on the **Issues** tab or contact us at [scrapercompany.com](https://scrapercompany.com). Include the `request_id` from the dataset item so we can trace the request.
# Changelog
This Actor's version history is a separate document: https://apify.com/scrapercompany/scrapercompany-hotel-rates/changelog.md
# Actor input Schema
## `endpoint` (type: `string`):
ScraperCompany API endpoint to call. The request body below uses that endpoint's field names, exactly as in the API reference.
## `body` (type: `object`):
JSON body for the endpoint, e.g. {"token": "ChUI...", "days": 90} for the Google Hotels calendar. Date fields accept exact dates or relative ones such as "30 days" from today. Unknown fields are rejected by the API with a clear message.
## `requests` (type: `array`):
Optional list of {"endpoint": "...", "body": {...}} objects, one request each, mixing any endpoints. When set, Endpoint and Request body above are ignored.
## `includeErrors` (type: `boolean`):
When on, a request that fails (for example an unknown property id) is saved as a dataset item with an error message so you can see what went wrong. Failed requests are never charged.
## `maxConcurrency` (type: `integer`):
How many API requests run at the same time.
## `maxRetries` (type: `integer`):
Retries for rate limits (HTTP 429), temporary server errors (5xx) and network errors, with exponential backoff. Validation errors are never retried.
## Actor input object example
```json
{
"endpoint": "/v1/calendar",
"body": {
"token": "ChUIoben2Mv6-CYaCi9tLzA3czVwbjQQAQ",
"days": 30,
"currency": "USD",
"market": "US"
},
"includeErrors": true,
"maxConcurrency": 3,
"maxRetries": 2
}
```
# Actor output Schema
## `results` (type: `string`):
One dataset item per request.
## `summary` (type: `string`):
Counts of succeeded, failed, skipped and charged requests.
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"body": {
"token": "ChUIoben2Mv6-CYaCi9tLzA3czVwbjQQAQ",
"days": 30,
"currency": "USD",
"market": "US"
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapercompany/scrapercompany-hotel-rates").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "body": {
"token": "ChUIoben2Mv6-CYaCi9tLzA3czVwbjQQAQ",
"days": 30,
"currency": "USD",
"market": "US",
} }
# Run the Actor and wait for it to finish
run = client.actor("scrapercompany/scrapercompany-hotel-rates").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"body": {
"token": "ChUIoben2Mv6-CYaCi9tLzA3czVwbjQQAQ",
"days": 30,
"currency": "USD",
"market": "US"
}
}' |
apify call scrapercompany/scrapercompany-hotel-rates --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"type": "http",
"url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapercompany/scrapercompany-hotel-rates"
}
}
}
```
The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/Z2EdPDf0YEDbyMRGv/builds/N7d5h65M8R67apbVP/openapi.json