Hotel Reputation Monitoring on Trip.com, Daily
A daily watch, not a research pull: the twenty newest reviews for each of four Singapore properties by id, sorted most recent, cheap enough to schedule every morning. review_id is stable, so keeping the ids you have seen turns the run into a new-reviews feed; route low scores to Slack and a bad night reaches the duty manager the same day. Cost: 80 review rows at $0.004 = at most $0.32 a run.
Input
Output fields
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The Trip.com Reviews Scraper — Ctrip Hotel Guest Reviews & Ratings Actor is ready to run with the inputs already set for "Hotel Reputation Monitoring on Trip.com, Daily". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Hotel Reputation Monitoring on Trip.com, Daily" task
The Trip.com Reviews Scraper — Ctrip Hotel Guest Reviews & Ratings Actor will start running based on the input automatically. You can also change all the input fields, like trip.com hotel ids, max reviews per hotel, and more, to match your specific use case.
Receive the "Hotel Reputation Monitoring on Trip.com, Daily" 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 type, hotel id, hotel name, 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 "Hotel Reputation Monitoring on Trip.com, Daily" task via API.
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Connect "Hotel Reputation Monitoring on Trip.com, Daily" with 100+ integrations, or run it via API or MCP.
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