Grainger Data: 3 MRO Catalogs with UNSPSC, 250K Products from Cromwell
Full MRO catalogs from Grainger, Fastenal and Cromwell for a product content company: UNSPSC, EAN, every attribute and a taxonomy sheet.
Rakuma Scraper for Listings, Prices and Sold-Out Items
Rakuma keeps sold-out items on view with the price they went for. Our Rakuma scraper collects live listings from fril.jp with condition and shipping, and sold ones with their final price.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
fril.jpwhat you get
Typical fields for online stores
titlepricecurrencyin_stockskuratingreviews
Delivery
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
Rakuma Scraping as a Managed Service
- You send
Rakuma pages, filters, fields and a schedule
- We run the scrapers
Built, monitored and repaired by our team
- You receive the data
API, JSON feed or CSV, XLSX and JSON files
You tell us what to follow on Rakuma - brands, categories, keywords or price bands - and we write the crawlers, operate them and repair them when fril.jp changes its pages. Nothing to install and no Japanese needed on your side: anti-bot handling, pacing, proxy rotation and rendering are part of the service.
Labels arrive in two forms. Every fixed value keeps the platform's Japanese wording, such as 送料込 or 新品、未使用, with an English code beside it, so a filter works without a translator. Prices become integers in JPY, relative posting times such as 11分前 (11 minutes ago) become timestamps at collection, and each row keeps the item code from its address. Collection can be a single extract or a daily, weekly or on-demand schedule, and a free assessment and a sample open every project.
What Our Rakuma Data Scraper Extracts
A Rakuma item page is short and fully labelled, which suits a fixed schema. It lives at item.fril.jp followed by a 32-character code, and the same page carries a numeric item id; we keep both. Fields below are given in Rakuma's Japanese with an English gloss.
- Identityitem code and item id, URL, title, the free-text description (商品説明) and photo addresses.
- Pricethe asking price in JPY and who pays for delivery (配送料の負担): 送料込, shipping included, or the buyer.
- Classificationthe category path (カテゴリ) with its numeric id, the brand (ブランド) with its brand id, and size (サイズ).
- Condition商品の状態, one of six grades running from 新品、未使用 (new, unused) and 未使用に近い (nearly unused) down to 全体的に状態が悪い (poor overall).
- Shippingthe shipping method (配送方法) such as かんたんラクマパック, the dispatch estimate (発送日の目安), the prefecture the parcel leaves from (発送元の地域), and the anonymous shipping tag (匿名配送).
- Status and interestfor sale or SOLD OUT, the likes counter (いいね), the comments counter (コメント) and the time since the item went up.
- Trust signalsthe identity verified badge (本人確認済), the loss compensation badge (紛失補償有) and the seller's transaction rating (取引の評価), three counts drawn as sun, cloud and rain icons for good, neutral and bad.
Search and category cards repeat title, brand and price, so a wide crawl starts from them and opens item pages only where the full field set is wanted. A sold page keeps title, brand, category, price and the seller rating but drops condition and shipping, so those fields are captured while the item is live.
Rakuma Price Tracker, Sold-Out Items and Market Prices
Rakuma does not hide what has already sold. An item that finds a buyer keeps its page, its price and a SOLD OUT stamp, and search results mix live and sold items unless the 販売中のみ (for sale only) box is ticked. Sold prices are therefore read directly, not estimated.
The platform also publishes 相場価格情報 (market price information): a page per brand and per category with a recent selling price range and a list of recently sold items. We collect it as a second layer beside the listings.
- Coverage plancategory pages hold 36 items and search pages 40, and the page counter stops at page 100, so a large category is cut by brand, size, colour, price band and the sort orders 新着順 (newest), いいねが多い順 (most liked), 安い順 and 高い順 (cheapest and dearest first).
- Brand rankingthe weekly 人気ブランドランキング for each department, with its last-updated date.
- Historythe same slices revisited on a schedule turn asking prices and likes into a price history and date the moment each listing switched to SOLD OUT.
Sellers are often private persons, so their nicknames, profile texts and photos stay out of the dataset by default; ラクマ公式ショップ (official shops) are businesses and keep their shop names.
About Rakuma, Rakuten's Flea Market on fril.jp
- Source
- fril.jp
- Category
- online stores
- Delivery
- API, JSON feed, CSV, XLSX
- Plans
- From €169 a month
Rakuma is the flea market app of Rakuten Group in Japan. It grew out of two services - Fril, run by Fablic, and Rakuten's own first Rakuma - which merged in February 2018 under the Rakuma name, with the merged app running on Fril's system. That history explains the addresses: the web version still runs on fril.jp, items sit on item.fril.jp, and the app is listed as ラクマ (旧フリル), Rakuma, formerly Fril.
The site is in Japanese and every price is in yen. Members list new and used goods, which category pages split into 新品 (new) and 中古 (used): fashion for women, men and children, smartphones and home appliances, cameras, games, talent goods and toys, cosmetics, and even vegetables, fruit and tea under food and drink. Each category and brand has a numeric id in its address, as in /category/10001 or /brand/149, and brand names appear in Latin letters with their katakana reading, as in ZARA (ザラ).
Items, prices, seller ratings and sold pieces can be browsed on the web by anyone; buying, liking and commenting need a Rakuten ID, and item pages show the Rakuten points a purchase would earn.
25Developers
500+Customers
1.5BPages extracted
15,000+Hours saved for our clients
Rakuma scraping plans and pricing
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsWhy Scrape Rakuma Listings
Japan's second-hand trade sets prices in public, item by item, and Rakuma shows the outcome next to the asking price. What clients use Rakuma datasets for:
- Resale value by brandSold prices per brand and category, matched to the condition grade recorded while each item was still for sale, show what a CHANEL lip balm or a ZARA knit fetches after the shop - in yen, not as a guess.
- Japanese demand signalsLikes, comments and the weekly brand ranking show what buyers in Japan are chasing: a character line, a console, a trading card set.
- SourcingListings in new or nearly unused condition priced below the recent sold range, filtered by size, brand and dispatch time, for resellers who buy in Japan.
- Brand protectionLuxury brand listings far below the sold range, or outside the official shops, go on a review list for possible counterfeits.
- Regional logisticsThe prefecture of dispatch and the shipping method show where supply sits in Japan and which carriers sellers choose.
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Amazon Seller Data: 51K B2B Leads with Business Name and Address
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About ScrapeIt
We are ScrapeIt, a managed web scraping service: we build, run and maintain the crawlers, and you receive the data. For a Japanese marketplace like Rakuma that means we deal with the language, the yen formats and the relative timestamps, and you get tables your analysts can read. Plans start from EUR 169 a month, or EUR 199 for a one-time extract. Field documentation comes with every dataset, seller nicknames stay out by default, and we process personal data under GDPR.
FAQ
Still unsure? Write to info@scrapeit.io
Do you offer a Rakuma API for listing and sold-out data?
Yes. The ScrapeIt Rakuma API returns item id, title, brand, price in JPY, condition grade, shipping terms and the SOLD OUT status as JSON from an endpoint we host, refreshed on the schedule you set. The same rows also come as CSV or Excel files, a JSON feed or a load into your database.
Is it legal to scrape Rakuma?
Yes. Item pages, sold-out items, seller rating counts and the market price pages are open to any visitor of fril.jp without a Rakuten ID. We collect only publicly available data - everything a visitor can see on Rakuma - and we collect it legally. Seller nicknames and profile texts are personal data and are left out by default.
Can you collect Rakuma reviews and seller ratings?
Yes, as far as the site shows them. Each item page carries the seller's good, neutral and bad counts, and each shop has a public review page with the latest rating comments, split into ratings received as seller and as buyer. We deliver the counts, the rating label, the comment and its date; reviewer names stay out by default.
How often should Rakuma prices be refreshed?
Daily for most projects. Each listing sells once and then switches to SOLD OUT, and the sold page keeps price, brand and category but no longer shows condition or shipping, so a daily run records those while the item is live and dates the sale. Fast categories such as trading cards and talent goods can run several times a day.
Can you scrape Rakuma if our team does not read Japanese?
Yes. Fixed values - condition grade, who pays shipping, shipping method, prefecture - arrive in Japanese with an English code next to them, and categories and brands keep their numeric ids. Titles and descriptions stay exactly as the seller wrote them, so nothing is lost in translation.
How it works
- 1
Make a request
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
- 2
We configure the crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
- 3
Collect and deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
- 4
Maintain and support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Request a quote
Tell us which sites, which fields and how often. A couple of lines is enough to start.
- We reply within 1 business day
- A sample dataset before the full run
- We sign an NDA on request
- Delivery by API, JSON feed or files