Auto dealers
Daily price checks
Favorable to scraping
Track competing imported listings by model, mileage, and asking price before updating your own pricing sheets or sales talking points.
Automotive Marketplace$50Free
Bobaedream Car Price Scraper
This Bobaedream car price scraper turns imported used-car listing pages into a structured CSV for pricing research, inventory tracking, and dealer analysis. Import the workflow into the UScraper local desktop app, run the bundled pagination loop, and export vehicle names, listing URLs, model options, fuel type, mileage, price, dealer details, dates, views, and image URLs without writing a custom crawler.
Output
CSV
Columns
13
Pages
Next loop
Waits
Built in
Template
Free
At a glance
Export Bobaedream car prices into a spreadsheet
The template opens https://www.bobaedream.co.kr/cyber/CyberCar.php?gubun=I, Bobaedream's imported used-car listing view, then waits for listing cards before export. Each row maps one visible vehicle listing to a stable CSV shape, so analysts can sort by price, filter by fuel, compare mileage bands, and keep source URLs beside every observation.
This is a best-effort Bobaedream data extractor, not an official API. It uses a browser workflow: set the window size, navigate, wait for the page, wait for listing elements, run Structured Export, check whether a next-page control exists, then loop with a JavaScript page-change step. That JavaScript click path is included because normal clicks can be interrupted by Bobaedream's page-loading overlay.
Car prices ready for Excel or Sheets
Export vehicle names, prices, mileage, fuel, dealer names, listing URLs, and images into one append-friendly CSV for market scans and valuation checks.
Pagination handled for you
The workflow keeps moving through reachable pages until the next-page control disappears, then ends cleanly instead of leaving partial manual copy-paste work.
Local desktop workflow
The browser and the CSV run on your machine. Nothing in the stock template uploads your exported listing data to UScraper infrastructure.
Readable workflow blocks
Navigation, waits, export, pagination checks, and the JavaScript interaction are visible in the graph, so your team can audit or adjust the flow.
Who this is for
Teams that monitor imported used-car listings
Market researchers
Inventory snapshots
Favorable to scraping
Collect Bobaedream car prices with source URLs, views, and registered dates so trend notes can link back to the original listing.
Data teams
CSV-first pipelines
Favorable to scraping
Use the local CSV as a reviewable handoff before enrichment, deduplication, translation, BI dashboards, or downstream vehicle price models.
How to use
Run the Bobaedream scraper
1
Download and import
Download the hosted JSON template from this page, import it into UScraper, and open the graph before the first run.
2
Review the start URL
The bundled Navigate block starts on imported used cars. Keep it as-is for imported inventory, or edit it carefully if your approved workflow needs another Bobaedream listing view.
3
Confirm the save folder
Structured Export writes bobaedream-car-price-scraper.csv with headers and append mode. Change the save location if your team keeps exports in a shared research folder.
4
Run and watch the first page
UScraper navigates, waits for rows, exports listing data, checks pagination, sleeps briefly, triggers the next page, and repeats.
5
Open the CSV
Spot-check names, prices, mileage, dealer data, and source URLs before using the file in reporting or downstream analysis.
Automation path inside the template
- 1
Navigate and wait
Open the imported-car listing page, wait for page load, then wait for thumbnail/listing elements to appear.
- 2
Structured export
Append 13 columns from each
.list-innerrow into a CSV with headers. - 3
Pagination loop
Check for a next-page control, pause, run JavaScript to trigger it, then wait for the next page's rows.
- 4
End cleanly
When no reachable next page remains, the flow stops and leaves one local CSV for review.
Output preview
CSV columns produced by the template
The export mirrors the available Bobaedream listing data and keeps both human-readable values and source URLs. Because no sample CSV shipped with the bundle, the examples below are realistic placeholders that match the configured column names and expected value types.
| image_url | car_name | year | fuel | mileage | price | dealer | registered_time | views |
|---|---|---|---|---|---|---|---|---|
| https://www.bobaedream.co.kr/image/sample-1.jpg | BMW 520d M Sport | 20/03 | Diesel | 58,000km | 3,250만원 | Seoul Auto | 06/02 | 481 |
| https://www.bobaedream.co.kr/image/sample-2.jpg | Mercedes-Benz E300 Avantgarde | 19/11 | Gasoline | 71,000km | 3,890만원 | Premium Motors | 06/02 | 612 |
| https://www.bobaedream.co.kr/image/sample-3.jpg | Porsche Cayenne Coupe | 21/08 | Gasoline | 35,000km | 상담 | Import Car Center | 06/01 | 1,024 |
bobaedream-car-price-scraper.csvColumn
image_url
Vehicle thumbnail URL from the listing row.
Column
car_name
Vehicle title or image alt text when the title link is missing.
Column
car_url
Resolved listing detail URL for source review.
Column
model_options
Transmission, fuel, drivetrain, performance, or option text when exposed.
Column
year
Registration/model year text such as 20/03 or a year-model note.
Column
fuel
Fuel type such as gasoline, diesel, LPG, electric, hybrid, or hydrogen.
Column
mileage
Mileage text normalized from the listing row.
Column
price
Displayed asking price, consultation marker, contract marker, or sold marker.
Column
dealer
Dealer or seller name when available.
Column
views
View count from the tail section of the listing row.
Sample rows
2 of many
| image_url | car_name | car_url | model_options | year | fuel | mileage | price | dealer | views |
|---|---|---|---|---|---|---|---|---|---|
| BMW 520d M Sport | Automatic - Diesel - AWD | 20/03 | Diesel | 58,000km | 3,250만원 | Seoul Auto | 481 | ||
| Mercedes-Benz E300 Avantgarde | Automatic - Gasoline - Accident history | 19/11 | Gasoline | 71,000km | 3,890만원 | Premium Motors | 612 |
Headers included - each reachable listing page appends underneath
Pair this workflow with the Carsensor Car Listings Scraper, Goo Net Used Car Scraper, and Gulliver used-car scraper when you need cross-market vehicle price benchmarks. Browse the full UScraper template library or install the local desktop app from uscraper.io/download.
Frequently asked questions
Bobaedream pages may be publicly reachable, but automated collection can still be restricted by Bobaedream terms, robots rules, copyright, database rights, privacy law, and technical safeguards. Use modest volume, do not bypass CAPTCHA or access controls, collect only fields you are allowed to use, and get legal review before resale, enrichment, or large-scale monitoring.
Before you run
Practical limits to plan around
Guardrails for reliable Bobaedream exports
Rate limits
Bobaedream may slow, challenge, or block frequent requests
Start with a small run, keep the built-in pauses, avoid parallel browser sessions, and treat CAPTCHA or verification screens as a stop sign for unattended automation.
Layout drift
Listing markup can change
Empty names, missing prices, or broken dealer fields usually mean the page layout changed. Re-test one page, then update the Structured Export columns before scaling again.
Compliance
CSV output still needs responsible use
Review Bobaedream terms, robots guidance, client contracts, and your internal acceptable-use rules before republishing listings or building commercial datasets.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
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