Dealership teams
Stock comparison
Favorable to scraping
Export comparable Goo-net vehicles into CSV, then filter by maker, model, year, mileage, payment total, and warranty when checking how similar inventory is positioned.
Automotive Marketplace$50Free
Goo Net Used Car Scraper
This Goo Net used car scraper turns Goo-net vehicle detail pages into a structured CSV export for dealership research, used-car price checks, and automotive inventory analysis. Import the template, add the Goo-net detail URLs you want to process, and export maker, model, pricing, mileage, inspection, warranty, seller, page URL, and image URL from the local desktop app.
Output
CSV
Columns
17
Input mode
URL loop
Source
Detail pages
Runtime
Local app
At a glance
Export Goo Net listings to CSV
The template starts from a list of Goo-net used-car detail URLs, sets a stable browser window, waits for each page to load, confirms the page body is visible, and then runs Structured Export against the active vehicle inspection container. That scope matters: it keeps the Goo Net to CSV output focused on real vehicle detail pages instead of generic error pages, expired listings, or navigation text.
Collect practical vehicle fields
Capture maker, body or model, vehicle title, vehicle price, total payment, year, mileage, inspection status, displacement, repair history, warranty, legal maintenance, seller name, page URL, and image URL.
Process many detail URLs
Replace the sample URLs in the Navigate block with detail links collected from Goo-net search results, saved lists, or your own review queue. Loop Continue advances the batch and appends each valid row.
Keep output spreadsheet-ready
The file is created as goo-net-used-car-sales-scraper.csv with headers and append mode, so repeated runs can build one reviewable inventory sheet.
Run in your own browser session
UScraper runs the flow locally. The template does not send your source URLs or exported vehicle rows to a hosted scraping service unless you add an integration step.
Who uses it
Goo Net used cars research workflows
Automotive analysts
Market snapshots
Favorable to scraping
Use the export Goo Net listings workflow to assemble repeatable detail-page datasets for pricing reviews, seller coverage checks, or model-specific reporting.
Data operations teams
Manual URL queues
Nuanced outcome
Feed the template a curated list of detail URLs when search-result scraping is not the right fit, then hand the CSV to QA, Excel, Sheets, or a downstream enrichment process.
For broader automotive coverage, compare this workflow with the La Centrale data scraper, Vendezvotrevoiture car listings scraper, and Leboncoin data scraper. You can also browse the full UScraper template library for adjacent marketplace exports.
How to use
Run the Goo Net car listings scraper
1
Download and import
Download the hosted Goo Net scraper JSON, then import it into the UScraper desktop app.
2
Replace the sample URLs
Open the Navigate block and replace the two sample vehicle detail URLs with your own Goo-net detail-page links. The template is built for detail pages, not a keyword search page.
3
Run a small visible batch
Start with a handful of URLs so you can watch for cookie prompts, expired vehicles, regional responses, or CAPTCHA. Solve verification manually if Goo-net presents it.
4
Let waits and export handle each page
The graph follows Set Window Size, Navigate, Wait for Page Load, Wait for Element, Structured Export, and Loop Continue. Valid pages append one structured row per detail page.
5
Open the CSV
Review goo-net-used-car-sales-scraper.csv, confirm the core fields are populated, then expand the URL list for the next run.
Output preview
What the Goo Net data extractor exports
goo-net-used-car-sales-scraper.csvColumn
keyword
Maker and model inferred from breadcrumb or page metadata.
Column
page_number
Static page marker from the detail-page workflow.
Column
maker
Vehicle maker parsed from breadcrumb or heading text.
Column
body_type
Model or body label when breadcrumb text exposes it.
Column
vehicle_info
Vehicle title from Open Graph, h2, or h1 text.
Column
vehicle_price
Vehicle price, formatted in Japanese man-yen units when available.
Column
total_payment
Total payment amount when Goo-net exposes it.
Column
year
Year or first registration field.
Column
mileage
Mileage from the vehicle specification table.
Column
inspection
Vehicle inspection status or expiry.
Column
displacement
Engine displacement field.
Column
repair_history
Repair history value.
Column
warranty
Warranty status or terms.
Column
legal_maintenance
Legal maintenance field.
Column
seller_name
Dealer or seller name detected on the page.
Column
page_url
Canonical detail URL without query strings.
Column
image_url
Primary Open Graph or vehicle image URL.
Sample rows
2 of many
| keyword | page_number | maker | body_type | vehicle_info | vehicle_price | total_payment | year | mileage | inspection | displacement | repair_history | warranty | legal_maintenance | seller_name | page_url | image_url |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Toyota Aqua | 1 | Toyota | Aqua | Toyota Aqua S Hybrid | 79.8万円 | 92.4万円 | 2018 | 5.2万km | 2027年3月 | 1500cc | なし | 保証付 | 法定整備付 | Sample Motors Osaka | ||
| Honda N-BOX | 1 | Honda | N-BOX | Honda N-BOX Custom G L Package | 118.0万円 | 129.6万円 | 2020 | 3.1万km | 車検整備付 | 660cc | なし | 保証付 | 法定整備付 | Sample Auto Tokyo |
Sample rows are illustrative; live values depend on what each Goo-net detail page publishes.
Frequently asked questions
Goo-net pages may be publicly reachable, but automated collection can still be limited by Goo-net terms, robots rules, copyright, database rights, privacy law, and anti-abuse controls. Use modest volume, do not bypass access controls or CAPTCHA, collect only fields you are allowed to use, and get legal review before resale, enrichment, or large-scale monitoring.
Before you run
Practical limits and maintenance notes
Guardrails for reliable Goo-net exports
Pacing
Run modest batches and watch the first pass
Large URL lists, repeated retries, or parallel runs can trigger throttles or CAPTCHA. Start small, keep reasonable pauses, and stop when the site asks for manual verification.
Layout
Detail-page selectors may need maintenance
The template reads labels such as year, mileage, inspection, repair history, warranty, and legal maintenance from Goo-net detail tables. If the site changes those labels or markup, refresh the export columns before trusting a large batch.
Policy
Review Goo-net rules before commercial reuse
Check Goo-net terms, robots directives, privacy expectations, and database-right concerns before redistributing, enriching, or selling extracted vehicle 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
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
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