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Monotaro Scraper for Product Search Results

This Monotaro scraper turns prepared Monotaro Japan product or group URLs into a structured CSV export. It opens each URL, waits for the product title to appear, captures title, detail URL, brand, tax-excluded and tax-included price ranges, overview, specifications, review count, and rating, then appends one row per page to mnt-search-results.csv.

Output

CSV file

Columns

9

Input mode

Multi-URL

Waits

Load + h1

Template

Free

What it does

Monotaro product data export by URL list

The workflow is built for Monotaro product and group pages, not an open-ended keyword search form. The Navigate block contains three sample Monotaro /g/ URLs. For each one, UScraper loads the page, waits up to 30 seconds for the page to finish, waits for the h1 title, runs a Structured Export against the page body, and uses Loop Continue to advance to the next input URL.

That makes the automation easy to audit. There is no hidden crawler depth, no in-page pagination path, and no cloud scraper queue. The template focuses on export Monotaro products from a list you control, which is usually the cleaner option for procurement teams, market researchers, and catalog operators who already know the pages they need.

Export Monotaro to CSV

Produce fixed spreadsheet columns for product identity, price ranges, review signals, and page summary text.

Process many product pages

Add approved product or group URLs to the Navigate block and let Loop Continue handle the sequence.

Keep the run under local custody

The browser session and output file stay inside the local desktop app workflow and your chosen save folder.

Use it for repeatable monitoring

Re-run the same URL list when you need a fresh pricing or availability snapshot for selected industrial supplies.

Who uses it

Use cases for a Monotaro data extractor

Industrial buyers

Price checks

Favorable to scraping

Compare visible tax-excluded and tax-included price ranges across selected Monotaro product groups before updating procurement sheets.

Catalog teams

Assortment review

Favorable to scraping

Collect titles, brands, overviews, and specifications from a controlled URL list so internal product records can be checked against the live page.

Market researchers

Competitor snapshots

Favorable to scraping

Build a small, repeatable Monotaro product export for pricing studies, review-density checks, or category research without writing a custom crawler.


How to use

Run the Monotaro scraper in five steps

1

Download and import

Download the free hosted JSON template from this page, then import it into UScraper.

2

Replace the sample URLs

Open the Navigate block and paste the Monotaro product or group URLs you are allowed to inspect.

3

Keep the waits in place

Leave the page-load wait and h1 visibility check enabled so the export runs after the page title renders.

4

Confirm the CSV path

Review the Structured Export save folder, file name, headers, and append mode before starting a larger batch.

5

Run and open the export

Start the workflow, let Loop Continue process the URL list, then open mnt-search-results.csv.

Output preview

What the Monotaro to CSV export includes

ColumnExample valueWhat it captures
titleHex Socket Head Cap Screw, Stainless SteelProduct or group title from the page heading
detail_urlhttps://www.monotaro.com/g/07046152/URL used for the exported row
brandTRUSCOBrand link text when Monotaro exposes it
price_tax_excludedJPY 2990-Lowest visible pre-tax price in the product table
price_tax_includedJPY 3289-Lowest visible tax-included price in the product table
overviewIndustrial fastener page summary textMeta description or social description
specificationsMaterial: stainless steel; size range; contentsCleaned descriptive specification text
review_count14Review count when a review link or summary is present
rating4.5Average satisfaction rating when exposed

The export uses headers and append mode, so every configured URL lands under the same column set. If you rerun the template against the same file, clear the old CSV first unless you intentionally want historical rows combined.


Frequently asked questions

Scraping publicly visible Monotaro pages may still be limited by Monotaro terms, robots rules, copyright, database rights, privacy law, or regional ecommerce regulations. Keep volume modest, respect access controls, avoid personal data, and get legal review before publishing or reselling a dataset.

Before you scale

Limits and maintenance notes

Guardrails for reliable Monotaro exports

Pacing

Do not overload product pages

Heavy unattended runs can trigger throttling, verification, CAPTCHA, or partial rendering. Use a small test batch, then increase volume gradually.

Selectors

Retail layouts change over time

Blank prices, missing ratings, or truncated specifications usually mean the page markup changed or the page did not render normally.

Policy

Review rules before commercial reuse

Treat the CSV as research input. Check Monotaro policies, robots guidance, and applicable law before redistributing, selling, or combining scraped product data 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]