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Jmty Product Listing Scraper

The Jmty Product Listing Scraper turns Jmty sale and classifieds pages into a structured CSV export. Import the template, choose the prefecture or category listing URLs you want to monitor, and collect prefecture, municipality, keyword, product title, price, listing text, detail page URL, category, and a content sample from a local desktop app workflow.

Export

CSV

Columns

9

Pagination

Next loop

Inputs

Listing URLs

Template

Free

At a glance

Jmty data extractor for local product listings

This template is built for Jmty category and product listing pages, not individual article pages. The automation follows a simple pattern: Navigate to each configured URL, wait for the page to load, wait until listing links are visible, run Structured Export, check whether a next-page link exists, click it, pause, and loop back into the export step.

That flow makes it useful when you need repeatable Jmty to CSV exports across regional sale categories such as furniture, household goods, and other local classifieds. Because rows append into one file, you can compare prefectures, municipalities, prices, and listing categories without stitching separate spreadsheets together.

Scrape Jmty listing cards

Capture visible product title, price, category, location cues, listing text, and detail URLs from sale listing pages.

Export classifieds to CSV

Keep every row in a spreadsheet format that works with Excel, Sheets, Airtable, BI tools, or enrichment scripts.

Follow pagination automatically

The workflow checks for Japanese next-page labels such as and 次へ, then continues until no active next link remains.

Run from the local desktop app

Your URLs, browser session, and CSV output stay under your configured desktop workflow instead of a hosted scraper dashboard.

Who uses it

Use cases for Jmty product listing data

Marketplace analysts

Category snapshots

Favorable to scraping

Use a Jmty scraper to compare visible supply across local categories, spot low-price clusters, and review which municipalities produce the most active listings.

Reuse and resale teams

Sourcing research

Favorable to scraping

Track furniture, household goods, appliances, or other sale categories before deciding where to search manually. The detail URL keeps every CSV row traceable.


Automation flow

How the Jmty listings scraper works

Navigate, wait, export, paginate. The template opens each configured listing URL, waits for listing anchors that include /article-, exports visible rows, checks for an enabled next-page link, and loops until the category ends.

How to use

Run the Jmty product listing scraper in five steps

1

Download and import

Use the download button for the hosted JSON template, then import it into the UScraper desktop app.

2

Add Jmty listing URLs

Update the Navigate block with the Jmty prefecture, sale category, or keyword listing pages you want to scrape.

3

Review the output path

Confirm the file name, save folder, headers, and append mode in Structured Export before running a larger batch.

4

Run a small test

Start with one or two category pages, watch the first pagination loop, and stop if Jmty shows a verification or consent screen.

5

Open the CSV

Review jmty-product-listing-scraper.csv in your spreadsheet tool, then widen the URL list once the sample rows look right.

Output preview

What the Jmty to CSV export includes

jmty-product-listing-scraper.csv
CSV - UTF-8 - Append

Column

prefecture

Prefecture inferred from the current Jmty URL path.

Column

municipality

City, ward, town, or village parsed from nearby listing text when present.

Column

keyword

Keyword query value or visible search input value when the page includes one.

Column

product_title

Listing title from the card link text or image alt fallback.

Column

price

Visible yen price, free marker, or negotiable marker parsed from the card.

Column

other_info

Short listing-card text sample for quick review.

Column

page_url

Absolute URL for the Jmty article detail page.

Column

category

Sale category inferred from the page path, such as furniture or household goods.

Column

content_sample

Longer text sample for validation, deduping, and manual QA.

Sample rows

2 of many

prefecturemunicipalitykeywordproduct_titlepriceother_infopage_urlcategorycontent_sample
OsakaSakai CitysofaTwo-seat sofa in good condition3000 yenPickup preferred near station, used furniture listing.FurnitureTwo-seat sofa, local pickup, visible price and municipality text.
AichiNagoya CityStorage shelf and small table setFreeMoving sale, collection date listed in card text.FurnitureStorage shelf listing with free price marker and local pickup note.
Headers included - rows append across configured listing URLs and pagination pages

Frequently asked questions

Jmty listings may be publicly visible, but automated collection can still be limited by Jmty terms, robots rules, copyright, privacy law, database rights, or local regulations. Keep runs modest, avoid restricted or personal data, respect access controls, and get legal review before using scraped Jmty data commercially.

Before you run

Practical limitations and maintenance

Guardrails for reliable Jmty exports

Pacing

Avoid aggressive unattended scraping

Large category sweeps can trigger slow pages, verification prompts, or incomplete exports. Keep waits in place, avoid parallel runs, and scale only after a clean test.

Layout

Listing markup can change

The workflow targets listing links and nearby card text. If Jmty changes category pages or pagination labels, update the Structured Export and next-page check before trusting new output.

Policy

Review terms before commercial reuse

Treat the CSV as research input. Review Jmty terms, robots guidance, and applicable law before redistributing, selling, or combining scraped listings with other 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.

Contribute on GitHub

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]