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🍳

Travel Deal Hunter

Monitor flight and hotel prices for your dream destinations. Alert when prices drop significantly, combined with weather forecasts for the destination.

🤖 00 ↓  |  👤 00
intermediate10 min setup🔄 9 swappable alternatives

🧂 Ingredients

🔌 APIs

search_flight_prices_and_deals

🔄 Alternatives:

Skyscanner Better price comparisonKiwi Multi-city/nomad routing

search_hotel_prices

🔄 Alternatives:

Airbnb Better for unique/long staysHotels Com Rewards program integration

destination_weather_forecast

🔄 Alternatives:

Weatherapi Better free tier, more dataVisual Crossing Historical data includedTomorrow Io Minute-by-minute forecasts

cross_reference_deal_prices

🔄 Alternatives:

Brave Search Privacy-focused, no trackingGoogle Search Direct Google search API

📋 Step-by-Step Build Guide

STEP 1

Load travel wishlist with destinations and flexible dates

Load travel wishlist with destinations and flexible dates

Load travel wishlist with destinations and flexible dates

Steps:
1. Validate all required inputs are available
2. Execute the operation described above
3. Verify the result meets expected output format
4. Handle errors gracefully — retry transient failures, log and alert on persistent ones
5. Return structured output with status and any relevant data

If any required data is missing, request it from the user before proceeding.
STEP 2

Search flights from home airport to each destination

Search flights from home airport to each destination

Search flights from home airport to each destination

Steps:
1. Validate all required inputs are available
2. Execute the operation described above
3. Verify the result meets expected output format
4. Handle errors gracefully — retry transient failures, log and alert on persistent ones
5. Return structured output with status and any relevant data

If any required data is missing, request it from the user before proceeding.
STEP 3

Compare against historical average prices

Compare against historical average prices

Compare against historical average prices

Steps:
1. Validate all required inputs are available
2. Execute the operation described above
3. Verify the result meets expected output format
4. Handle errors gracefully — retry transient failures, log and alert on persistent ones
5. Return structured output with status and any relevant data

If any required data is missing, request it from the user before proceeding.
STEP 4

Search hotels for matching dates

Search hotels for matching dates

Search hotels for matching dates

Steps:
1. Validate all required inputs are available
2. Execute the operation described above
3. Verify the result meets expected output format
4. Handle errors gracefully — retry transient failures, log and alert on persistent ones
5. Return structured output with status and any relevant data

If any required data is missing, request it from the user before proceeding.
STEP 5

Check weather forecast for destination during travel window

Check weather forecast for destination during travel window

Use the OpenWeatherMap API to fetch weather data for the user's location.

GET https://api.openweathermap.org/data/2.5/forecast?q={city}&appid={api_key}&units=imperial

Extract: current temperature, conditions, humidity, wind speed, and rain probability.
Format concisely: "72°F, Partly Cloudy, 45% humidity, 8mph wind, 10% rain"

If the API returns an error, retry once with a 2-second delay. If it fails again, use "Weather data unavailable" as a placeholder and continue with the remaining steps.
STEP 6

If price is >20% below average AND weather is good, alert immediately

If price is >20% below average AND weather is good, alert immediately

If price is >20% below average AND weather is good, alert immediately

Steps:
1. Validate all required inputs are available
2. Execute the operation described above
3. Verify the result meets expected output format
4. Handle errors gracefully — retry transient failures, log and alert on persistent ones
5. Return structured output with status and any relevant data

If any required data is missing, request it from the user before proceeding.
STEP 7

Track price history for trend analysis

Track price history for trend analysis

Persist the data to the configured storage.

Data structure:
- Include timestamp (ISO 8601) with every record
- Use consistent field names across entries
- Store raw values (not formatted) for future analysis
- Add a source/origin field for audit trail

Storage operation:
1. Validate the data before writing
2. Check for duplicates (by timestamp + unique key)
3. Append to existing records — never overwrite
4. Verify the write succeeded
5. Return the stored record ID/reference

🤖 Example Agent Prompt

Load travel wishlist with destinations and flexible dates

Steps:
1. Validate all required inputs are available
2. Execute the operation described above
3. Verify the result meets expected output format
4. Handle errors gracefully — retry transient failures, log and alert on persistent ones
5. Return structured output with status and any relevant data

If any required data is missing, request it from the user before proceeding.

Copy this prompt into your agent to get started.

🍳 Travel Deal Hunter — PincerAPI Cookbook