Dealership teams
Inventory comparison
Use the export Gulliver inventory workflow to compare visible pricing, mileage, repair history, and store coverage against your own stock list.
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This Galliver Fnrima used car sales scraper exports Gulliver/Galliver Fnrima vehicle listings into a structured CSV file. Import the template, run it against a populated Gulliver search page, and collect vehicle name, price, model year, mileage, inspection, repair history, store or location, detail URL, and image URL from the local desktop app.
CSV
9
Auto next
Listings
Local app
At a glance
The workflow starts at https://221616.com/search/toyota/, a populated Gulliver search path that can be changed to another make or category URL. After the page loads, the template waits briefly, injects JavaScript to tag likely vehicle cards with data-uscraper-row, waits for those rows to exist, and then runs Structured Export against each marked listing.
That approach is useful when a generic search page does not expose stable row selectors. Instead of relying on one brittle class name, the template looks for visible cards that contain vehicle-style facts, then appends each page into the same CSV.
Collect vehicle fields that matter
Export title, price, model year, mileage, inspection, repair history, store/location, detail URL, and image URL.
Follow listing pagination
The graph uses an element-exists branch for the next-page button, so a run can keep collecting until Gulliver stops offering another page.
Keep analysis spreadsheet-ready
Rows append into galliverfrima-used-car-sales-scraper.csv with headers, ready for Excel, Sheets, or BI tools.
Run in your own desktop session
UScraper runs locally. The template does not send rows to a hosted scraping vendor unless you add that step.
Who this is for
Dealership teams
Inventory comparison
Use the export Gulliver inventory workflow to compare visible pricing, mileage, repair history, and store coverage against your own stock list.
Automotive analysts
Market snapshots
Download Gulliver listings for a narrow make, model, or category, then segment the CSV by year, price band, mileage, and location.
No-code operators
Template replacement
Recreate the practical output of the Octoparse Galliver/Galliver Fnrima template while keeping the workflow editable inside UScraper.
For adjacent automotive sources, compare this template with the Goo Net used car scraper, La Centrale data scraper, and Vendezvotrevoiture data scraper.
How to use
Download and import
Download the hosted Galliver Fnrima scraper JSON, then import it into the UScraper desktop app.
Set the listing URL
Open the Navigate block and replace the sample Toyota URL with the Gulliver search, make, or model page you want to collect.
Run a small visible test
Start with one category page so you can catch cookie notices, empty result sets, or verification prompts before scaling.
Let the loop collect pages
The graph follows Navigate, Wait for Page Load, Sleep, Inject JavaScript, Wait for Element, Structured Export, next-page check, Click, and repeat.
Open the CSV
Review galliverfrima-used-car-sales-scraper.csv, confirm populated vehicle rows, then duplicate or adjust the workflow for another make or segment.
Output preview
galliverfrima-used-car-sales-scraper.csvColumn
vehicle_name
Vehicle title or first useful listing line.
Column
price
Primary price text, usually shown in man-yen units.
Column
model_year
Year, first registration, or era-based year text.
Column
mileage
Mileage text from the listing card.
Column
inspection
Inspection or shaken value when shown.
Column
repair_history
Repair history value such as none, yes, or unknown.
Column
location_or_store
Store, dealer, region, or location line.
Column
detail_url
Vehicle detail page URL for manual review.
Column
image_url
Primary listing image source when available.
Sample rows
2 of many
| vehicle_name | price | model_year | mileage | inspection | repair_history | location_or_store | detail_url | image_url |
|---|---|---|---|---|---|---|---|---|
| Toyota Prius S Touring Selection | 129.8 man yen | 2018 | 54,000 km | Valid through 2027/04 | None | Gulliver Osaka sample store | ||
| Toyota Aqua G | 82.0 man yen | 2016 | 72,300 km | Inspection included | Unknown | Gulliver Tokyo sample store |
Gulliver listing pages may be publicly reachable, but automated collection can still be limited by the site's terms, robots rules, copyright, database rights, privacy law, and anti-abuse controls. Use modest volume, avoid bypassing access controls, collect only fields you are allowed to use, and get legal review before resale, enrichment, or large-scale monitoring.
Before you scale
Guardrails for reliable Gulliver exports
Run politely and avoid parallel batches
Large unattended runs can trigger throttles or verification. Keep the built-in waits, test one segment first, and stop when the site asks for manual action.
Marked rows depend on visible listing patterns
The template uses JavaScript to identify likely vehicle cards. If Gulliver changes labels, pagination, or card structure, refresh the row-marking logic.
Review Gulliver and IDOM rules before commercial reuse
Check site terms, robots guidance, privacy expectations, and database-right concerns before redistributing or selling vehicle datasets.
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