HotPepper Beauty Japan Salon Scraper

Scrape salon data from HotPepper Beauty (ホットペッパービューティー), Japan's largest salon booking site by Recruit: hair salons, nail and eyelash salons, esthetic salons and relaxation / massage salons in every region of Japan. Get salon names, phone numbers, addresses, GPS coordinates, ratings and review counts, opening hours, closed days, payment methods, staff and seat counts, cut prices and price ranges, coupons, websites, feature tags and even the salon's customer mix by gender and age.

HTTP-only. No browser, no API key, no login. Listing pages and salon pages are read as server-rendered HTML with schema.org structured data, so the fields are clean and stable.

What you can do with it

• B2B lead generation – salons are small businesses that buy POS and booking software, payment terminals, supplies, staffing and marketing; every record has a phone number and most have an address, coordinates and staff count.
• Market research – compare salon density, prices, ratings and coupon strategies across areas, or track a competitor's coupons and reviews over time.
• Location intelligence – geocoded salons for catchment and site-selection analysis.
• Recruiting and franchising – staff counts, seat counts and customer demographics per salon.
• Data enrichment – match HotPepper records to your CRM by name, phone or address.

How it works

1. Pick a genre: hair (美容院・美容室・ヘアサロン), nail (ネイル・まつげ, nail and eyelash), esthe (エステ) or relax (リラクゼーション・マッサージ).
2. Pick a region and optionally an area inside it, by Japanese name (新宿, 渋谷, 横浜, 梅田, 名駅, 札幌…; partial matches are fine) or by code (macAA). Leave the area empty to crawl the whole region, area by area. A sub-area (高田馬場, 西口, or sacX001) narrows further.
3. Or paste your own Start URLs: any HotPepper Beauty listing page such as https://beauty.hotpepper.jp/svcSA/macAA/salon/, https://beauty.hotpepper.jp/nail/svcSB/macBA/salon/ or a sub-area / PNn.html page. Each is paginated for you (20 salons per page).
4. Set Max salons and, if you want phone numbers, coordinates, hours, payment methods, all coupons and demographics, tick Scrape salon pages.

Results land in the run's dataset, one item per salon, with ready-made table views for Overview, Contact & location, Hours & payments and Marketing.

Genres

Slug	Japanese	What it covers	Salon page
hair	美容院・美容室・ヘアサロン	Hair salons and barbers	beauty.hotpepper.jp/slnH…/
nail	ネイル・まつげサロン	Nail salons and eyelash extension salons	beauty.hotpepper.jp/kr/slnH…/
esthe	エステサロン	Esthetic salons (facials, body, hair removal, bridal)	beauty.hotpepper.jp/kr/slnH…/
relax	リラクゼーション・マッサージサロン	Relaxation, massage, head spa, reflexology	beauty.hotpepper.jp/kr/slnH…/

Regions

Slug	Japanese	Covers	Hair areas
kanto	関東	Kanto (Tokyo, Kanagawa, Saitama, Chiba, Ibaraki, Tochigi, Gunma)	43
kansai	関西	Kansai (Osaka, Kyoto, Hyogo, Nara, Shiga, Wakayama)	21
tokai	東海	Tokai (Aichi, Gifu, Shizuoka, Mie)	13
hokkaido	北海道	Hokkaido	5
tohoku	東北	Tohoku	7
chugoku	中国	Chugoku (Hiroshima, Okayama, Yamaguchi, Shimane, Tottori)	6
kyushu	九州・沖縄	Kyushu & Okinawa	9
hokushinetsu	北信越	Hokushinetsu (Niigata, Nagano, Ishikawa, Toyama, Fukui)	9
shikoku	四国	Shikoku	4

Areas are HotPepper Beauty's own districts (a ward, a cluster of stations or a city). The area list is read live from the site for the genre you pick, so new areas appear automatically; the hair list is reproduced at the bottom of this page for reference.

Input

Field	Type	Default	Notes
genre	string	hair	hair, nail, esthe or relax.
region	string	kanto	Region slug from the table above.
area	string	–	Area name (Japanese, partial OK) or code (macAA). Empty = whole region.
subArea	string	–	Sub-area name (Japanese, partial OK) or code (sacX001).
startUrls	array	–	HotPepper Beauty listing URLs. Overrides the fields above.
maxResults	integer	100	Unique salons to collect.
includeDetails	boolean	false	Open every salon page (one extra request per salon, same price per result).
requestDelaySecs	number	0.5	Pause after each request.
maxConcurrency	integer	3	Parallel requests.
proxyConfiguration	object	Apify datacenter	Apify Proxy is recommended for anything beyond a small test.

Example: every hair salon in Shinjuku with full details.

{
  "genre": "hair",
  "region": "kanto",
  "area": "新宿",
  "maxResults": 500,
  "includeDetails": true
}

Example: all nail and eyelash salons in the Kansai region, listing data only.

{
  "genre": "nail",
  "region": "kansai",
  "maxResults": 10000
}

Output

Listing fields (always present): salonId, url, name, genre, genreName, genreTags, catchphrase, access, cutPrice (hair), seatsText, seatCount, staffText, staffCount (nail / esthe / relax cards), blogCount, reviewCount, labels, hasOnlineBooking, coupons (up to 3 from the card), couponCount, thumbnails, position, sourceListUrl, plus the search context region, regionName, areaCode, areaName, subAreaCode, subAreaName.

Salon-page fields (with includeDetails): schemaType, displayName, phone, address, latitude, longitude, rating, accessNote, hours, closedDays, paymentText, paymentMethods, website, priceRange, priceMin, priceMax, averageCostFirstVisit, averageCostRepeat, parking, features, notes, other, customerGender, customerAgeWomen, customerAgeMen, latestReview, image, regionCode, and coupons grows to the full featured list with descriptions and validity.

Example item:

{
  "salonId": "H000313094",
  "url": "https://beauty.hotpepper.jp/slnH000313094/",
  "name": "白髪染めLapis 新宿店 【ラピス シンジュク】",
  "genre": "hair",
  "areaName": "新宿・高田馬場・代々木",
  "catchphrase": "本日、空きあり◎白髪染め(リタッチ根本)×魔法のバブル付き　￥4500【ReFa】☆全席完備☆新宿駅・徒歩1分",
  "access": "JR新宿 新宿駅東口より徒歩１分",
  "cutPrice": 4500,
  "seatCount": 11,
  "staffCount": 10,
  "reviewCount": 341,
  "rating": 4.4,
  "phone": "03-3351-9966",
  "address": "東京都新宿区新宿３-３６-１４ カワノアネックスビル５F",
  "latitude": 35.6904367,
  "longitude": 139.7020865,
  "hours": "月～日9:00～21:00",
  "closedDays": "年中無休",
  "paymentMethods": ["Visa", "Mastercard", "JCB", "American Express", "Diners Club", "Discover"],
  "website": "http://lapis-ginza.com",
  "features": ["15席以上の大型サロン", "夜19時以降も受付OK", "年中無休", "ロング料金なし"],
  "averageCostFirstVisit": "¥6,000～¥6,999",
  "customerGender": {"ladies": 89, "mens": 10, "others": 0},
  "customerAgeWomen": {"under20": 0, "20s": 4, "30s": 13, "40s": 31, "50plus": 52},
  "coupons": [{"name": "【当日OK★平日OK】カット＋カラー根元(白髪OK)", "price": 7500, "audience": "新規", "url": "https://beauty.hotpepper.jp/slnH000313094/coupon/?couponId=CP00000010718046"}]
}

Export as JSON, CSV, Excel or XML from the dataset, or pull it through the Apify API.

Pricing

Pay per result: you are charged only for salons actually saved to the dataset. A run with includeDetails makes about twice the requests but costs the same per salon. Start with a small maxResults to check the fields you need, then scale up.

Tips

• Listing order is HotPepper's "popular" order and it rotates between visits, so two runs of the same area can return salons in a different order. Use salonId to deduplicate across runs.
• cutPrice exists for hair salons only; nail, esthe and relax salons carry seatsText / staffText from the card and priceRange (typical spend) from the salon page.
• customerGender and customerAgeWomen / customerAgeMen are HotPepper's own statistics of who books the salon, in percent. Age bands: under20, 20s, 30s, 40s, 50plus.
• reviewCount on listing rows comes from the card; with includeDetails it is refreshed from the salon page together with rating.
• Promoted (PR) cards at the top of a page are skipped so results match the organic count; the same salon still appears in its organic slot.
• Big areas are big: Umeda alone lists about 1,400 esthetic salons and Shinjuku almost 800 nail salons. Use subArea or maxResults to size the run.

Area codes (hair)

関東 (kanto)

Code	Area	Code	Area
macAD	渋谷	macJR	青山・表参道・原宿
macAC	恵比寿・広尾・六本木・麻布・赤坂	macAE	代官山・中目黒・自由が丘・武蔵小杉・学大
macAA	新宿・高田馬場・代々木	macAB	池袋・目白
macAF	銀座・有楽町・新橋・丸の内・日本橋	macAZ	上野・神田・北千住・亀有・青砥・町屋
macJC	両国・錦糸町・小岩・森下・瑞江	macJQ	門前仲町・勝どき・月島・豊洲
macJA	御茶ノ水・四ツ谷・千駄木・茗荷谷	macJB	赤羽・板橋・王子・巣鴨
macAH	品川・五反田・目黒・田町	macAX	下北沢・成城学園・向ヶ丘遊園・新百合ヶ丘
macAT	町田・相模大野・海老名・本厚木・橋本	macAP	横浜・関内・元町・上大岡・白楽
macAR	横須賀・小田原	macJM	センター南・二俣川・戸塚・杉田・金沢文庫
macJJ	湘南・鎌倉・逗子	macAY	三軒茶屋・二子玉川・溝の口・青葉台
macAQ	大井町・蒲田・大森・川崎・鶴見	macAI	中野・高円寺・阿佐ヶ谷
macAJ	吉祥寺・荻窪・三鷹・国分寺・久我山	macAK	八王子・立川・国立・多摩・日野・福生・秋川
macAW	明大前・千歳烏山・調布・府中	macAV	鷺ノ宮・田無・東村山・拝島
macJO	山梨	macAL	大宮・浦和・川口・岩槻
macAU	大山・成増・志木・川越・東松山	macAS	練馬・ひばり・ヶ丘・所沢・飯能・狭山
macJD	西新井・草加・越谷・春日部・久喜	macJF	上尾・熊谷・本庄
macJS	東大宮・古河・小山	macJL	流山・三郷・野田
macJE	宇都宮・栃木	macJI	取手・土浦・つくば・鹿嶋
macJN	前橋・高崎・伊勢崎・太田・群馬	macJP	水戸・ひたちなか・日立・茨城
macAM	千葉・稲毛・幕張・鎌取・都賀	macAN	船橋・津田沼・本八幡・浦安・市川
macAO	柏・松戸・我孫子	macJG	市原・木更津・茂原・勝浦・東金・銚子
macJH	八千代・佐倉・鎌ヶ谷・成田

関西 (kansai)

Code	Area	Code	Area
macBC	江坂・千里中央・十三・豊中・池田・箕面・新大阪・吹田	macBA	梅田・京橋・福島・本町
macBB	心斎橋・難波・天王寺	macBT	昭和町・大正・住吉・住之江
macBD	茨木・高槻	macBH	門真・枚方・寝屋川・関目・守口・蒲生・鶴見
macBI	鴫野・住道・四条畷・緑橋・石切・布施・花園	macBN	平野・八尾・松原・古市・藤井寺・富田林
macBR	和歌山	macBE	堺・なかもず・深井・狭山・河内長野・鳳
macBO	高石・府中・岸和田・泉佐野	macBM	姫路・加古川
macBK	川西・宝塚・三田・豊岡	macBU	三木・北区・西区・長田・明石・垂水
macBL	西宮・伊丹・芦屋・尼崎	macBG	三宮・元町・神戸・兵庫・灘・東灘
macBV	舞鶴・福知山・京丹後	macBF	京都
macBS	長岡京・伏見・山科・京田辺・宇治・木津	macBJ	奈良
macBP	滋賀

東海 (tokai)

Code	Area	Code	Area
macCA	名駅・栄・金山・御器所・本山・大曽根	macCB	岐阜
macCC	静岡・藤枝・焼津・島田	macCD	浜松・磐田・掛川・袋井
macCE	一宮・犬山・江南・小牧・小田井・津島	macCF	春日井・尾張旭・守山・瀬戸
macCG	桑名・四日市・津・鈴鹿・伊勢	macCH	八事・平針・瑞穂・野並
macCI	名古屋港・高畑・鳴海・大府・豊明・知多・半田	macCJ	日進・豊田・刈谷・岡崎・安城・豊橋
macCK	その他静岡県	macCL	各務原・大垣・関・多治見
macCM	星ヶ丘・藤が丘・長久手

北海道 (hokkaido)

Code	Area	Code	Area
macDA	札幌	macDB	旭川
macDD	函館	macDC	道東・道北
macDE	道央・道南

東北 (tohoku)

Code	Area	Code	Area
macEA	仙台・宮城	macEH	いわき・福島・その他福島県
macEC	岩手・盛岡	macED	山形
macEF	青森・八戸・弘前	macEG	秋田
macEI	郡山

中国 (chugoku)

Code	Area	Code	Area
macFA	広島	macFB	福山・尾道
macFC	岡山・倉敷	macFE	山口
macFF	鳥取	macFG	島根

九州・沖縄 (kyushu)

Code	Area	Code	Area
macGA	福岡	macGB	北九州
macGC	長崎	macGD	大分
macGE	熊本	macGF	宮崎
macGG	鹿児島	macGI	佐賀
macGJ	沖縄

北信越 (hokushinetsu)

Code	Area	Code	Area
macHA	新潟	macHB	長岡
macHE	その他新潟県	macHC	石川・金沢
macHD	長野	macHH	松本
macHI	その他長野県	macHF	富山
macHG	福井

四国 (shikoku)

Code	Area	Code	Area
macIA	高松・香川	macIB	徳島
macIC	松山・愛媛	macID	高知

Related scrapers

Looking for other Japanese business data? See the HotPepper Gourmet, Tabelog, Retty, Gurunavi, Ekiten, SUUMO, Jalan and Rakuten Travel scrapers by the same author.

Legal

This Actor collects publicly available business information. You are responsible for using the data in line with HotPepper Beauty's terms and applicable law, including Japan's Act on the Protection of Personal Information where relevant. Review text is user-generated content.