Expedia Car Rental Scraper

Collect Expedia car rental offers from search results and turn them into structured datasets for pricing analysis, market tracking, and travel intelligence workflows.

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Features

• Car offer extraction - Capture Expedia car listings with offer tokens, vehicle info, and reserve metadata.
• Pricing visibility - Collect lead/total pricing text and accessibility pricing notes.
• Vehicle detail coverage - Save category, description, attributes, and image links.
• Offer continuation data - Store continuation context and selection metadata for downstream processing.
• Clean output - Empty or null values are removed automatically from each record.

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Use Cases

Rental Price Monitoring

Track daily or weekly pricing movement for key destinations and pickup windows.

Fleet and Vendor Comparison

Compare vehicle categories and offer structure across suppliers and routes.

Travel Product Research

Build structured car-rental datasets for internal analytics and product planning.

Offer Token Pipelines

Use saved offer tokens and continuation context IDs for follow-up enrichment flows.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	Las Vegas Expedia carsearch URL	Full Expedia car rental search URL. The actor reads location, region, dates, and times from this URL and always prioritizes it.
results_wanted	Integer	No	20	Maximum number of offers to save.
max_pages	Integer	No	8	Maximum API pages to request.
proxyConfiguration	Object	No	Apify residential proxy	Proxy settings for reliable extraction.

Built-in behavior: The actor now always auto-heals messy Expedia URLs and always uses resilient request recovery internally, so those switches are no longer exposed as inputs.

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Output Data

Each dataset item can contain:

Field	Type	Description
car_offer_token	String	Expedia offer token for continuation.
offer_heading	String	Main listing title.
reserve_button_text	String	Reserve CTA text.
accessibility_string	String	Accessibility summary text for listing card.
infosite_url	String	Expedia details URL for the offer.
vehicle_category	String	Vehicle category label.
vehicle_description	String	Vehicle description text.
vehicle_image_url	String	Vehicle image URL.
vendor_image_url	String	Vendor image URL.
vehicle_attributes	Array	Vehicle attributes from listing card.
review_rating	Number	Numeric rating value.
review_label	String	Review superlative text.
review_count	Integer	Number of reviews.
price_lead	String	Lead price text.
price_total	String	Total price text.
price_accessibility	String	Accessibility pricing text.
strike_through_first	Boolean	Whether strike-through appears first.
multi_item_price_token	String	Multi-item pricing token.
fare_comparison_enabled	Boolean	Fare comparison flag.
price_summary_text	String	Price summary text field.
selected_accessories	Array	Selected accessory values.
reward_points_selection	String	Rewards selection value.
continuation_contextual_id	String	Context ID for continuation.
search_id	String	Search identifier from result context.
pick_up_location	String	Pickup location used for request.
drop_off_location	String	Drop-off location used for request.
pick_up_region	String	Pickup region ID used.
drop_off_region	String	Drop-off region ID used.
pick_up_date	String	Pickup date in YYYY-MM-DD.
drop_off_date	String	Drop-off date in YYYY-MM-DD.
pick_up_time	String	Pickup time used.
drop_off_time	String	Drop-off time used.
page_index	Integer	Zero-based page index.
operation_name	String	Operation name used for extraction.
scraped_at	String	ISO capture timestamp.

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Usage Examples

Start URL Run

{
	"startUrl": "https://www.expedia.com/carsearch?paandi=true&fdrp=1&styp=2&dagv=1&subm=1&locn=Las%20Vegas,%20Nevada,%20United%20States%20of%20America&dpln=178276&date1=4/22/2026&date2=4/24/2026&crfrr=defaultFlex&SearchType=Place",
	"results_wanted": 20,
	"max_pages": 8
}

Messy Wrapped URL Run

{
	"startUrl": "  https%3A%2F%2Fwww.expedia.com%2Fcarsearch%3Flocn%3DMiami%252C%2520Florida%252C%2520United%2520States%2520of%2520America%26dpln%3D178286%26date1%3D5%2F10%2F2026%26date2%3D5%2F12%2F2026%26time1%3D0900AM%26time2%3D0800PM%26SearchType%3DPlace%26subm%3D1%26fdrp%3D1  ",
	"results_wanted": 40,
	"max_pages": 10
}

Proxy-Optimized Run

{
	"startUrl": "https://www.expedia.com/carsearch?paandi=true&fdrp=1&styp=2&dagv=1&subm=1&locn=Las%20Vegas,%20Nevada,%20United%20States%20of%20America&dpln=178276&date1=4/22/2026&date2=4/24/2026&crfrr=defaultFlex&SearchType=Place",
	"results_wanted": 30,
	"proxyConfiguration": {
		"useApifyProxy": true,
		"apifyProxyGroups": ["RESIDENTIAL"]
	}
}

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Sample Output

{
	"car_offer_token": "4f278f4a-31db-4fbe-9a8f-6fc0a0f33f98",
	"offer_heading": "Midsize SUV",
	"reserve_button_text": "Reserve",
	"accessibility_string": "Midsize SUV from a major supplier in Las Vegas",
	"infosite_url": "https://www.expedia.com/carsearch/details?offerToken=...",
	"vehicle_category": "Midsize SUV",
	"vehicle_description": "Toyota RAV4 or similar",
	"vehicle_image_url": "https://images.trvl-media.com/cars/example-vehicle.png",
	"vendor_image_url": "https://images.trvl-media.com/cars/vendor-logo.png",
	"vehicle_attributes": ["5 seats", "Automatic", "Air conditioning"],
	"review_rating": 8.7,
	"review_label": "Very Good",
	"review_count": 1240,
	"price_lead": "$46/day",
	"price_total": "$184 total",
	"price_accessibility": "Total includes taxes and fees",
	"multi_item_price_token": "a0f9e58f-cb9c-4578-a4e3-241a5fdf9c62",
	"search_id": "8f58f2b5-3099-42f8-92ca-4b1ed7b5fd92",
	"pick_up_location": "Las Vegas, Nevada, United States of America",
	"drop_off_location": "Las Vegas, Nevada, United States of America",
	"pick_up_region": "178276",
	"drop_off_region": "178276",
	"pick_up_date": "2026-04-22",
	"drop_off_date": "2026-04-24",
	"pick_up_time": "1030AM",
	"drop_off_time": "1030AM",
	"page_index": 0,
	"operation_name": "CarSearchLite",
	"scraped_at": "2026-04-15T09:10:11.402Z"
}

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Tips For Best Results

Use Residential Proxies

• Car rental pages can apply strong rate controls.
• Residential routing improves consistency and lowers block risk.

Built-In Recovery

• The actor automatically heals encoded, alias-style, redirect-wrapped, and partially incomplete Expedia URLs.
• It also retries failed pages internally and pushes each successful page to the dataset immediately.

Keep Date Inputs Valid

• Use future pickup/drop-off dates inside the Expedia URL.
• Keep pickup earlier than drop-off.

Use Full Search URLs

• Prefer Expedia URLs that already include pickup, drop-off, region, and date parameters.
• The actor can heal wrapped or encoded links, but it still needs a real car search URL.

Start Small Then Scale

• Start with results_wanted: 20.
• Increase page depth only after validating output quality.

Expect Field Variance

• Offer cards are not always uniform.
• Records include only non-empty values.

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Integrations

• Google Sheets - Track daily pricing snapshots.
• Airtable - Build searchable rental offer databases.
• Looker Studio - Visualize price and category trends.
• Webhooks - Trigger downstream automation.

Export Formats

• JSON - Best for API and analytics pipelines.
• CSV - Best for spreadsheet workflows.
• Excel - Best for operational reporting.
• XML - Best for legacy integrations.

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Frequently Asked Questions

Why do some records have fewer fields?

Expedia cards vary by supplier and route. Empty fields are removed from output automatically.

Can I run one-way searches?

Yes. Provide dropLoc and optionally dropRegion when pickup and drop-off differ.

Why are proxies recommended?

Without stable proxy routing, high-volume runs may return rate-limit responses.

Why did older versions stop near 29 results?

Expedia pagination expects an item offset, not sequential page numbers. This actor now advances by full page offsets so larger result targets continue past the first 20 offers correctly.

Can I collect more than 20 offers?

Yes. Increase results_wanted, max_pages, and page_size based on your use case.

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Support

Use Apify Console support channels for bug reports and feature requests.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

This actor is intended for legitimate data workflows. You are responsible for complying with website terms, applicable laws, and responsible data usage practices.