Agoda Hotel Rates: a 200-Hotel Market Snapshot
A market snapshot for one night two weeks out: two hundred Lisbon properties in Agoda's ranking, and with includeSoldOut the properties Agoda lists but cannot price come too, free, with sold_out true and empty prices. Priced count, median rate and sold-out share together are a city occupancy proxy. Cost: 200 hotel rows at $0.004 = at most $0.80 a run.
Input
Output fields
Sign up on Apify or log in
The Agoda Prices Scraper — Hotel Rates & Availability by Date Actor is ready to run with the inputs already set for "Agoda Hotel Rates: a 200-Hotel Market Snapshot". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Agoda Hotel Rates: a 200-Hotel Market Snapshot" task
The Agoda Prices Scraper — Hotel Rates & Availability by Date Actor will start running based on the input automatically. You can also change all the input fields, like destinations, check-in, and more, to match your specific use case.
Receive the "Agoda Hotel Rates: a 200-Hotel Market Snapshot" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as hotel name, stars, review score, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Agoda Hotel Rates: a 200-Hotel Market Snapshot" task via API.

Integrate "Agoda Hotel Rates: a 200-Hotel Market Snapshot" into your workflow
Connect "Agoda Hotel Rates: a 200-Hotel Market Snapshot" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay