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Learn MoreA Hertz location page prints its own average daily price, cheapest month and most popular vehicles. Our Hertz scraper collects them with the rates behind each search.
Plans from €169/month · Free project assessment · Reply within 1 business day
A Hertz rate is not a catalogue price. It exists for a pickup location, a pair of dates, a driver's age and the country site the visitor is on. So a project starts with a search grid: you name the locations, the lead times, the rental lengths and the markets - hertz.com, a national site, or several - and we turn that into a schedule of searches.
We build and run the crawlers, take care of rendering, CAPTCHA handling, proxy rotation and pacing, and repair the extraction when Hertz changes a page. Every row carries the search it came from, so a price is never detached from its location and dates. Delivery is CSV, Excel or JSON by SFTP or to Amazon S3, through our API, or into your database, with field documentation. The project assessment is free and a sample can be ordered first.
The dataset has two layers: the rates returned for a search, and the location and fleet pages Hertz publishes for every visitor.
Gold Plus Rewards accounts, members-only pricing and existing reservations sit behind a login and are not collected.
A Hertz location page carries pricing context of its own, and it is worth collecting alongside live quotes.
Some country sites add products of their own. The Greek site, run by Autohellas, lists leasing offers with a monthly rate, prepayment, retail price, fuel, CO2 and consumption, and a Flex Drive plan that starts from one month. UK location pages add a best-loved car brand, a top deal price and unsigned customer reviews. We map each market's extras into the same schema.
Hertz is a car rental company with branches at airports, in cities, in hotels and at railway stations, in the United States and abroad. The US site lives at hertz.com. Other markets have their own domains - hertz.co.uk, hertz.de, hertz.com.au and more - and in some countries a local operator runs the site, as Autohellas does at hertz.gr.
The open part of hertz.com has four areas a data buyer cares about. The booking form takes a pickup and drop-off location, dates and a driver's age and returns the classes on offer. The location directory holds a page per branch. The Vehicle Hub describes the fleet by class and by manufacturer, each class with an example model and the words or similar - Hertz rents a class, not a named car. Deals and offers lists the promotions in force.
Hertz also sells used cars through Hertz Car Sales, a separate site linked from the header as Buy a car. It is a different catalogue with a different structure, and we scope it as its own job.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Hertz rates move with demand at each branch, and its location pages add the averages that put a single quote in context.
Automated scraping of filtered flight ticket data from Opodo.com, including complex on-page interactions for airline and pricing selection.
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Daily scraping of Booking.com services - hotels, flights, car rentals, and attractions - with best-price selection across global destinations.
Learn MoreLearn how to use web scraping to solve data problems for your organization
If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
ScrapeIt builds and operates crawlers for travel brands, booking sites and comparison engines, where a price only means something together with the search that produced it. For Hertz we plan the grid of locations and dates with you, run it on the agreed schedule and deliver rows your pricing tools can load directly. We do not log in, so loyalty accounts and member rates stay out of scope, and personal data is handled under GDPR. An MCP server is available on request.
Yes. The ScrapeIt Hertz API returns pickup location, dates, vehicle class, class code, example model, daily rate and currency as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files, a JSON feed or straight into your database.
Yes. Rates for a searched location and dates, vehicle classes, location pages and published deals are shown to every visitor without an account. We collect only publicly available data - everything a visitor can see on Hertz - and we collect it legally. Member rates and reservations behind the login are not touched.
Rates follow demand for the chosen dates, and Hertz itself notes on its location pages that prices may fluctuate. Monitoring of near dates usually runs daily, while searches months ahead are fine on a weekly run. The aggregates on location pages - average daily price, good deal price, weekday rates - need only an occasional pass.
Any of them: hertz.com for the United States, national sites such as hertz.co.uk, hertz.de or hertz.com.au, and locally operated sites like hertz.gr. Each market is searched on its own site, because the rate, the currency and the classes offered depend on where the visitor books. The market is a column in every row.
Yes, where a country site publishes them. On the Greek site we collect the leasing offers - make, model, version, monthly rate without VAT, prepayment, retail price, fuel, CO2 and consumption - and the conditions of the Flex Drive plan. Monthly rental promotions on other sites are captured from their deals pages.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Hertz data from €169/month. Free project assessment, reply within 1 business day.
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