Industrial buyers
Price checks
Compare visible tax-excluded and tax-included price ranges across selected Monotaro product groups before updating procurement sheets.
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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.
CSV file
9
Multi-URL
Load + h1
Free
What it does
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
Industrial buyers
Price checks
Compare visible tax-excluded and tax-included price ranges across selected Monotaro product groups before updating procurement sheets.
Catalog teams
Assortment review
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
Build a small, repeatable Monotaro product export for pricing studies, review-density checks, or category research without writing a custom crawler.
How to use
Download and import
Download the free hosted JSON template from this page, then import it into UScraper.
Replace the sample URLs
Open the Navigate block and paste the Monotaro product or group URLs you are allowed to inspect.
Keep the waits in place
Leave the page-load wait and h1 visibility check enabled so the export runs after the page title renders.
Confirm the CSV path
Review the Structured Export save folder, file name, headers, and append mode before starting a larger batch.
Run and open the export
Start the workflow, let Loop Continue process the URL list, then open mnt-search-results.csv.
Output preview
| Column | Example value | What it captures |
|---|---|---|
| title | Hex Socket Head Cap Screw, Stainless Steel | Product or group title from the page heading |
| detail_url | https://www.monotaro.com/g/07046152/ | URL used for the exported row |
| brand | TRUSCO | Brand link text when Monotaro exposes it |
| price_tax_excluded | JPY 2990- | Lowest visible pre-tax price in the product table |
| price_tax_included | JPY 3289- | Lowest visible tax-included price in the product table |
| overview | Industrial fastener page summary text | Meta description or social description |
| specifications | Material: stainless steel; size range; contents | Cleaned descriptive specification text |
| review_count | 14 | Review count when a review link or summary is present |
| rating | 4.5 | Average 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.
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
Guardrails for reliable Monotaro exports
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.
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.
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.
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