Baidu Maps (百度地图) Scraper - China POI, Contacts & Reviews avatar

Baidu Maps (百度地图) Scraper - China POI, Contacts & Reviews

Pricing

from $3.29 / 1,000 places

Go to Apify Store
Baidu Maps (百度地图) Scraper - China POI, Contacts & Reviews

Baidu Maps (百度地图) Scraper - China POI, Contacts & Reviews

Extract places from Baidu Maps across mainland China: names, phone numbers, ratings, opening hours, WGS84 coordinates, and national admin codes. Up to 250 reviews per place, each labelled real, third-party, or AI-generated. Coupon values and group-buy prices included. Export to JSON, CSV, or Excel.

Pricing

from $3.29 / 1,000 places

Rating

0.0

(0)

Developer

Zen Studio

Zen Studio

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

38 minutes ago

Last modified

Share

Baidu Maps Scraper (Baidu Ditu / 百度地图) | China POI, Contacts, Deals & Reviews (2026)

57 fields per place, up to 250 reviews each: phones, WGS84 coordinates, national admin codes, coupon values and group-buy prices from Baidu Maps.

Baidu Maps (百度地图) place data: name, rating, address with admin codes, WGS84 coordinates, signature dishes, coupon values and group-buy deal prices as structured JSON

⚡ Coupon amounts and the headline group-buy price come back as real numbers, not "from" prices.
Zen Studio Maps & Places   •  Local business data from every major regional map
Baidu Maps
➤ You are here
 Amap Places
China, Gaode 高德
 Apple Maps
Global places
 Yandex Maps
Russia and CIS

Copy to your AI assistant

zen-studio/baidu-maps-scraper on Apify. Scrapes mainland China places from Baidu Maps with WGS84 coordinates, national admin codes, coupon values and group-buy deal prices. Call ApifyClient("TOKEN").actor("zen-studio/baidu-maps-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items. Provide either query + city OR placeUrls, not both. Full spec: GET https://api.apify.com/v2/acts/zen-studio~baidu-maps-scraper/builds/default (Bearer TOKEN) → inputSchema, actorDefinition.storages.dataset, readme. Token: https://console.apify.com/account/integrations

Key Features

  • 57 fields per place: phone, address, WGS84 coordinates, national admin codes, categories, opening hours, ratings, photos, and a street-view link.
  • Up to 250 reviews per place: each labelled real user, third-party, or AI-generated, so you always know what you are reading.
  • Commerce data most map scrapers miss: coupon values in CNY, the headline group-buy deal with its real before and after price, per-person spend, room rates, and ticket prices.
  • Every city in mainland China: search in Chinese or English; the actor resolves the city for you.
  • No free-tier run cap: free-plan users get the same 57 fields and the same limits as everyone else.

How to Scrape Baidu Maps Places

Basic: every hotpot restaurant in Beijing

{
"query": ["火锅"],
"city": "北京",
"maxResults": 100
}

Multiple keywords, one city

{
"query": ["咖啡", "面包店", "甜品"],
"city": "Shanghai",
"maxResults": 300
}
{
"placeUrls": ["6b3f478ebf5dd0723310af64"],
"includeReviews": true,
"maxReviews": 250
}

Keywords work in Chinese or English. A few categories return far more in Chinese, so 火锅 beats "hotpot".

How to Scrape Baidu Maps in 4 Steps

  1. Open the Baidu Maps Scraper on Apify and click Try for free.
  2. Enter your keywords and a city, for example 火锅 and 北京.
  3. Set Max results, and switch on reviews or highlights if you need them.
  4. Click Start, then download the results as JSON, CSV, or Excel from the Storage tab.

Scheduling and Integrations

Local business data goes stale, so most users put the Baidu Maps Scraper on a schedule. Weekly works well for monitoring openings, closures, and rating movement in a city; daily is worth it only for price and deal tracking.

Results push straight into Google Sheets, Make, Zapier, Slack, or your own webhook from the run's Integrations tab, so a scheduled run can land in your CRM without any glue code.

How to run the scraper and put it on a schedule (official Apify videos):

Input Parameters

ParameterTypeDefaultDescription
queryarray["火锅"]Keywords to search, one per line. Chinese or English.
citystring北京City to search in. Chinese or English; every city in China works.
categorystring""Shortcut for a common category, added as an extra keyword.
maxResultsinteger100Places per keyword. Above roughly 185 the actor sweeps the city area by area.
includeDetailsbooleantrueAdds coordinates, coupons, the featured deal, road-level address, and the full gallery.
includeReviewsbooleanfalseCollects reviews, billed per review.
maxReviewsinteger50Reviews per place, up to 250.
includePlaceContentbooleanfalseReview summary, questions and answers, travel tips, and the full deal list.
placeUrlsarray[]Baidu place links or 24-character place IDs; skips search.
minRatingstring""Keep only places at or above this rating.
minReviewCountinteger0Keep only places with at least this many reviews.
priceMin / priceMaxinteger0Per-person spend range in CNY, dining only.
searchMatchingstringallHow strictly a place name must match your keyword.

What Data Can You Extract from Baidu Maps?

Every place includes:

  • Identity and contact: place ID, name, aliases, phone, full address, road-level street, business area.
  • Location: WGS84 latitude and longitude, province, city, district, and national administrative codes.
  • Classification: category path, place type, and class level such as hotel star rating or 5A scenic grade.
  • Ratings and prices: rating, review count, per-person spend, room rate, ticket price, free or paid admission, opening hours.
  • Commerce: coupon values, the featured group-buy deal with its real price, group-buy and coupon flags, booking partners.
  • Editorial: description, review digest, signature dishes, impression tags, location tags, hospital badges, hotel features, live crowd level, and travel-note counts per platform.
  • Media: photo gallery, photo count, and a street-view link.

Output Example

{
"placeId": "6b3f478ebf5dd0723310af64",
"name": "南门涮肉(东单店)",
"aliases": [],
"phone": null,
"address": "北京市东城区建国门内大街26号新闻大厦3层",
"province": "北京市",
"city": "北京市",
"district": "东城区",
"street": "建国门内大街26号新闻大厦3层",
"neighborhood": [
"东单",
"建国门"
],
"businessArea": "东单;建国门",
"provinceCode": "110000",
"cityCode": "110100",
"districtCode": "110101",
"latitude": 39.905017,
"longitude": 116.415803,
"categories": [
"美食",
"中餐馆",
"火锅店",
"... 1 more"
],
"placeType": "老北京火锅",
"classLevel": null,
"rating": 5.0,
"reviewCount": 28,
"pricePerPerson": 95.2,
"roomPrice": null,
"ticketPrice": null,
"ticketMarketPrice": null,
"ticketTags": [],
"admissionType": null,
"openingHours": "全年 周一至周日 营业时间: 11:00-22:00",
"hasGroupon": true,
"hasCoupon": true,
"description": null,
"reviewDigest": "排队人多,服务稍显不足,但食材如元宝肉、鲜羊肉、牛上脑、宽粉和生菜都很美味,麻酱调料和自制小菜也值得一试。",
"signatureDishes": [
"老北京铜锅涮肉",
"笑脸麻酱",
"鲜切羊腱",
"... 2 more"
],
"locationTags": [
"新闻大厦F3",
"新闻大厦内",
"建国门街道",
"... 3 more"
],
"locationHint": "位于新闻大厦三楼",
"hospitalBadges": [],
"hotelTags": [],
"coupons": [
{
"amount": 4.0,
"label": "团购红包",
"condition": null,
"discountRate": null
},
{
"amount": 11.0,
"label": "团购神券",
"condition": null,
"discountRate": null
},
{
"amount": 21.0,
"label": "大额神券",
"condition": null,
"discountRate": null
}
],
"parking": [],
"availabilityNote": null,
"featuredDeal": {
"title": "南门涮肉·洛神花饮品1扎",
"source": "美团",
"productId": "1441666894",
"originalPrice": 38.0,
"salePrice": 28.8,
"conditions": "周一至周日·免预约",
"salesVolume": 2153
},
"otaPartners": [],
"vertical": "cater",
"crowdLevel": null,
"noteCounts": {
"mafengwo": 1,
"xiecheng": 1688
},
"popularity": null,
"guideCount": null,
"featuredTags": [],
"impressionTags": [
"老字号",
"停车方便",
"菜品新鲜",
"... 3 more"
],
"ratingSource": "ugc",
"photos": [
"https://poi-pic.cdn.bcebos.com/swd/71e2dcf7-5478-3f85-944b-ad995fae2aa1.jpg",
"https://photo-meituan.cdn.bcebos.com/photo/17597733238108ff8e48da669808c681bb70e2fb25"
],
"photoCount": null,
"streetViewUrl": "https://mapsv0.bdimg.com/?qt=pr3dpoi&uid=6b3f478ebf5dd0723310af64&width=600&height=400&fovy=75&quality=80",
"reviews": [
{
"reviewId": "fc87bfdf64d5ac951b483cbbdf0447f3",
"author": "lisa4710",
"authorId": "7YkW6IrGIAVCi0xiMzgZswvzuPnluj1qvUOXzJfMTw4=",
"authorAvatar": "http://himg.bdimg.com/sys/portrait/item/public.1.5749b45b.dos3E5JoGBXUQhm_Dzokyg",
"rating": 4,
"date": "03-13 08:55",
"timestamp": 1773363310,
"content": "这家南门涮肉在东单新闻大厦三层,地铁东单站出来走几分钟就到,很方便。\n店里是那种老北京宫廷风的装修,青砖灰瓦,铜锅炭火,氛围感很足。最推荐的是鲜切全羊,师傅现点现片,肉色鲜亮,涮个十来秒就变色,入口鲜甜一点膻味都没有。锅底是清汤的,就靠枸杞、葱姜和口蘑提味,能很好地衬托羊肉的本味。麻酱小料是灵魂,记得配上现炸的芝麻烧饼,刚出炉酥得掉渣,蘸麻酱吃特别香。糖蒜也是必点,酸甜脆爽,非常解腻。整体价格在景区旁算实在的,没有虚高,适合想体验正宗老北京铜锅涮肉的朋友。周末饭点大概率要排队,建议提前电话预约或者错峰来。",
"photos": [
"https://poi-pic-gz.cdn.bcebos.com/pic_1ed98f6d696c8d0aa9228d7e2dd13b0c.jpeg"
],
"likes": 0,
"replyCount": 0,
"sourceClass": "aigc",
"source": "aigc_comment.com",
"sourceDetail": "aigc_renew",
"price": 0,
"labels": null,
"aiTag": 0
},
{
"reviewId": "4c6df1c5f31756979450a8ae5ced7673",
"author": "gshaw61again",
"authorId": "oG38BmlJtl4FshiBNrKZaBPuXUK2kjxUEN3878lGVqw=",
"authorAvatar": "http://himg.bdimg.com/sys/portrait/item/public.1.ccdde98a.IUSJQUuJrVQQLZp7PaVtvQ",
"rating": 4,
"date": "03-11 21:22",
"timestamp": 1773235360,
"content": "从国贸店吃过景泰蓝小锅,这次来东单店发现环境更古朴,像藏在胡同里的老馆子。\n一人一锅的景泰蓝小锅这里也有,干净卫生,很适合跟朋友聚餐不用抢锅。肉品确实扎实,手切羊肉很新鲜,虾滑也能吃到明显的虾肉颗粒,Q弹爆汁。不过最让我惊喜的反而是小吃,驴打滚软糯不粘牙,豆香十足;烧饼更是每桌必点,芝麻铺得满满的,咬下去咔嚓响。如果带家人来,可以点个双拼小料,味道调得刚好。需要注意的是,店在写字楼里,门头不算特别显眼,跟着导航走就行。整体吃下来人均不贵,食材对得起价格,是顿舒坦的老北京涮肉。",
"photos": [
"https://poi-pic-gz.cdn.bcebos.com/pic_65299e63e23a4110f8234f90810ac200.jpeg"
],
"likes": 0,
"replyCount": 0,
"sourceClass": "aigc",
"source": "aigc_comment.com",
"sourceDetail": "aigc_renew",
"price": 0,
"labels": null,
"aiTag": 0
},
{
"reviewId": "3a171cb6ea7261d97dacb4887f16bb40",
"author": "景彬gatkinson",
"authorId": "C3UcqOnr/yEr+xWjDV8ymukuXC093M0G91zQRY8t24E=",
"authorAvatar": "http://himg.bdimg.com/sys/portrait/item/public.1.c6c2ecac.Dmn5nJj8bpwdIfecSq_1bA",
"rating": 5,
"date": "2025-10-13",
"timestamp": 1760291702,
"content": "晚上来这儿涮肉特别合适,围坐在热乎铜锅边,涮着嫩滑羊肉,体验了京味儿的地道魅力,暖呼呼的氛围很舒服",
"photos": [
"https://poi-pic-gz.cdn.bcebos.com/pic_b39566bbd5b9e95ee10b646e764c198f.jpeg"
],
"likes": 0,
"replyCount": 0,
"sourceClass": "aigc",
"source": "aigc_comment.com",
"sourceDetail": "aigc_renew",
"price": 0,
"labels": null,
"aiTag": 0
},
"... 12 more"
],
"reviewSummary": {
"total": 15,
"reportedTotal": 249,
"byClass": {
"aigc": 15
},
"humanCount": 0,
"aiCount": 15,
"thirdPartyCount": 0
},
"placeContent": {
"aiSummary": {
"text": "麻酱醇香浓郁,搭配现切鲜羊肉,口感嫩滑不膻,蘸上糖蒜更显风味。环境宽敞典雅,一人一锅干净卫生,服务贴心周到,推荐手切鲜羊肉与麻酱烧饼的经典组合,满足味蕾的地道京味体验。",
"basedOn": 4323
},
"commentsPreview": [
{
"id": "fc87bfdf64d5ac951b483cbbdf0447f3",
"text": "这家南门涮肉在东单新闻大厦三层,地铁东单站出来走几分钟就到,很方便。\n店里是那种老北京宫廷风的装修,青砖灰瓦,铜锅炭火,氛围感很足。最推荐的是鲜切全羊,师傅现点现片,肉色鲜亮,涮个十来秒就变色,入口鲜甜一点膻味都没有。锅底是清汤的,就靠枸杞、葱姜和口蘑提味,能很好地衬托羊肉的本味。麻酱小料是灵魂,记得配上现炸的芝麻烧饼,刚出炉酥得掉渣,蘸麻酱吃特别香。糖蒜也是必点,酸甜脆爽,非常解腻。整体价格在景区旁算实在的,没有虚高,适合想体验正宗老北京铜锅涮肉的朋友。周末饭点大概率要排队,建议提前电话预约或者错峰来。",
"rating": 4,
"author": "lisa4710",
"source": "aigc",
"date": "2026-03-13",
"total": 249
},
{
"id": "4c6df1c5f31756979450a8ae5ced7673",
"text": "从国贸店吃过景泰蓝小锅,这次来东单店发现环境更古朴,像藏在胡同里的老馆子。\n一人一锅的景泰蓝小锅这里也有,干净卫生,很适合跟朋友聚餐不用抢锅。肉品确实扎实,手切羊肉很新鲜,虾滑也能吃到明显的虾肉颗粒,Q弹爆汁。不过最让我惊喜的反而是小吃,驴打滚软糯不粘牙,豆香十足;烧饼更是每桌必点,芝麻铺得满满的,咬下去咔嚓响。如果带家人来,可以点个双拼小料,味道调得刚好。需要注意的是,店在写字楼里,门头不算特别显眼,跟着导航走就行。整体吃下来人均不贵,食材对得起价格,是顿舒坦的老北京涮肉。",
"rating": 4,
"author": "gshaw61again",
"source": "aigc",
"date": "2026-03-11",
"total": 249
},
{
"id": "3a171cb6ea7261d97dacb4887f16bb40",
"text": "晚上来这儿涮肉特别合适,围坐在热乎铜锅边,涮着嫩滑羊肉,体验了京味儿的地道魅力,暖呼呼的氛围很舒服",
"rating": 5,
"author": "景彬gatkinson",
"source": "aigc",
"date": "2025-10-13",
"total": 249
}
],
"qa": {
"total": 27,
"items": [
{
"q": "餐厅的环境怎么样?适合家庭聚会吗?",
"answers": 7,
"likes": 92,
"date": "2024-11-18T13:46:24Z"
},
{
"q": "餐厅有没有提供预订服务?",
"answers": 7,
"likes": 12,
"date": "2024-09-23T21:06:40Z"
},
{
"q": "如果不能吃辣,有哪些不辣的调料或涮品可以选择?",
"answers": 7,
"likes": 61,
"date": "2024-09-15T21:03:54Z"
},
{
"q": "人均消费大概是多少?",
"answers": 6,
"likes": 91,
"date": "2024-11-08T07:48:05Z"
},
{
"q": "冬季有哪些特别的涮品推荐?",
"answers": 6,
"likes": 74,
"date": "2024-11-01T19:38:25Z"
},
{
"q": "除了涮肉,还有哪些特色菜品值得一试?",
"answers": 6,
"likes": 94,
"date": "2024-10-04T12:35:12Z"
},
{
"q": "宏源南门涮肉(东单店)的地址是什么?",
"answers": 4,
"likes": 47,
"date": "2024-10-18T18:10:34Z"
},
{
"q": "南门涮肉(东单店)的麻酱和烧饼怎么样?",
"answers": 1,
"likes": 10,
"date": "2025-02-10T23:06:21Z"
},
{
"q": "这家店的服务如何?",
"answers": 1,
"likes": 39,
"date": "2025-03-17T15:13:02Z"
},
{
"q": "南门涮肉(东单店)需要排队吗?平时人多不多?",
"answers": 1,
"likes": 39,
"date": "2025-03-29T04:42:51Z"
}
]
},
"notes": [
{
"title": "北京什刹海|别再瞎逛了🔥老北京灵魂治愈天花板",
"source": "携程",
"tpSource": "ctrip",
"likes": 10,
"date": "2026-06-25",
"type": "article"
},
{
"title": "郁金香花海拍摄秘籍🌷",
"source": "携程",
"tpSource": "ctrip",
"likes": 8,
"date": "2026-03-24",
"type": "article"
},
{
"title": "故宫旁的老北京涮肉!出门就是东华门!",
"source": "携程",
"tpSource": "ctrip",
"likes": 13,
"date": "2025-07-08",
"type": "article"
},
{
"title": "🔥北京人私藏的麻酱涮肉天花板!涮肉党必冲",
"source": "uigc",
"tpSource": "uigc",
"likes": 0,
"date": "2025-09-28",
"type": "article"
},
{
"title": "在北京来了N次的南门涮肉✨",
"source": "携程",
"tpSource": "ctrip",
"likes": 8,
"date": "2026-06-25",
"type": "article"
},
{
"title": "🔥东单涮肉天花板!2026元旦必冲攻略",
"source": "uigc",
"tpSource": "uigc",
"likes": 0,
"date": "2025-12-16",
"type": "article"
},
{
"title": "北京真的很好玩 南门涮肉吃吃吃",
"source": "携程",
"tpSource": "ctrip",
"likes": 7,
"date": "2025-10-06",
"type": "article"
},
{
"title": "北京必吃🔥火了30年的南门涮肉也太绝了吧!",
"source": "携程",
"tpSource": "ctrip",
"likes": 3,
"date": "2025-11-23",
"type": "article"
},
{
"title": "🔥南门涮肉必吃榜!老饕私藏火锅地图",
"source": "uigc",
"tpSource": "uigc",
"likes": 0,
"date": "2026-02-22",
"type": "article"
},
{
"title": "🍲南门涮肉|老饕私藏的京味火锅天花板",
"source": "uigc",
"tpSource": "uigc",
"likes": 0,
"date": "2026-02-14",
"type": "article"
}
],
"digest": {
"qa": [
{
"question": "这家店的涮羊肉口感如何?",
"answer": "这家店的涮羊肉口感鲜嫩,不膻不腻,肉质鲜",
"time": "2024-11-21"
},
{
"question": "宏源南门涮肉(东单店)的服务质量怎么样?",
"answer": "服务质量不错,态度热情,上菜速度快,还会",
"time": "2024-11-06"
},
{
"question": "南门涮肉的营业时间是怎样的?",
"answer": "宏源南门涮肉(东单店)的营业时间是周一至",
"time": "2024-11-02"
}
],
"notes": [
{
"imp_degree": 1,
"note_time": "2026-06-25",
"note_source": "ctrip",
"note_id": "326732568",
"note_title": "北京什刹海|别再瞎逛了老北京灵魂治愈天花"
},
{
"imp_degree": 1,
"note_time": "2026-03-24",
"note_source": "ctrip",
"note_id": "283387700",
"note_title": "郁金香花海拍摄秘籍"
},
{
"imp_degree": 1,
"note_time": "2025-07-08",
"note_source": "ctrip",
"note_id": "168461406",
"note_title": "故宫旁的老北京涮肉!出门就是东华门!"
},
{
"imp_degree": 1,
"note_time": "2025-09-28",
"note_source": "uigc",
"note_id": "pmgc_feed_uigc_food_fanhua_month_9825966",
"note_title": "北京人私藏的麻酱涮肉天花板!涮肉党必冲"
}
],
"comments": [
{
"url": [
"https://poi-pic-gz.cdn.bcebos.com/pic_1ed98f6d696c8d0aa9228d7e2dd13b0c.jpeg"
],
"text": "这家南门涮肉在东单新闻大厦三层,地铁东单",
"time": "2026-03-13"
},
{
"url": [
"https://poi-pic-gz.cdn.bcebos.com/pic_65299e63e23a4110f8234f90810ac200.jpeg"
],
"text": "从国贸店吃过景泰蓝小锅,这次来东单店发现",
"time": "2026-03-11"
},
{
"url": [
"https://poi-pic-gz.cdn.bcebos.com/pic_b39566bbd5b9e95ee10b646e764c198f.jpeg"
],
"text": "晚上来这儿涮肉特别合适,围坐在热乎铜锅边",
"time": "2025-10-13"
}
]
},
"noteTab": [
{
"title": "史上最全北京旅游攻略北京特色美食合集北京是一个特别的城市,拔地而起的高楼,川流不息的车流,为梦想奋斗的年轻灵魂,雕刻精美的屋檐,砖红",
"source": "马蜂窝",
"type": "马蜂窝笔记",
"date": "2020-12-09 15:41:10",
"author": null,
"place": "南门涮肉(东单店)",
"distance": "0km"
},
{
"title": "北京美食探店 | 南门涮肉聚众贴秋膘",
"source": "马蜂窝",
"type": "马蜂窝笔记",
"date": "2020-09-10 15:49:15",
"author": null,
"place": "南门涮肉(东单店)",
"distance": "0km"
},
{
"title": "北京|南门涮肉🍲2⃣️5⃣️年老字号火锅店,到北京必吃🤤",
"source": "马蜂窝",
"type": "马蜂窝笔记",
"date": "2019-11-27 09:32:29",
"author": null,
"place": "南门涮肉(东单店)",
"distance": "0km"
},
{
"title": "🏮北京美食探店合集〰️",
"source": "小红书",
"type": "小红书笔记",
"date": "2018-09-04 00:00:00",
"author": null,
"place": "南门涮肉(东单店)",
"distance": "0km"
},
{
"title": "端午小长假,北京这些餐厅值得打卡🌸",
"source": "小红书",
"type": "小红书笔记",
"date": "2019-06-05 00:00:00",
"author": null,
"place": "南门涮肉(东单店)",
"distance": "0km"
},
{
"title": "北京南门涮肉~天坛总店和新闻大厦店。",
"source": "小红书",
"type": "小红书笔记",
"date": "2019-10-25 00:00:00",
"author": null,
"place": "南门涮肉(东单店)",
"distance": "0km"
},
{
"title": "北京探店|天冷了🌬一起去吃铜锅涮肉吧😋",
"source": "小红书",
"type": "小红书笔记",
"date": "2019-10-27 00:00:00",
"author": null,
"place": "南门涮肉(东单店)",
"distance": "0km"
},
{
"title": "北京印象·每次都有新感觉/爱上南门涮肉无法自拔",
"source": "小红书",
"type": "小红书笔记",
"date": "2018-05-20 00:00:00",
"author": null,
"place": "南门涮肉(东单店)",
"distance": "0km"
},
{
"title": "北京火锅 #南门涮肉(东单店)",
"source": "小红书",
"type": "小红书笔记",
"date": "2018-08-23 00:00:00",
"author": null,
"place": "南门涮肉(东单店)",
"distance": "0km"
},
{
"title": "探店·北京|🍲#南门涮肉(东单店)",
"source": "小红书",
"type": "小红书笔记",
"date": "2018-11-22 00:00:00",
"author": null,
"place": "南门涮肉(东单店)",
"distance": "0km"
}
],
"highlight": {
"tag": "招牌必点菜",
"text": "南门涮肉的必点菜品手切鲜羊肉,被食客多次提及立盘不倒、肉质鲜嫩,涮煮后无膻味且带奶香,蘸以香浓麻酱搭配腐乳、韭花,口感丰富香气十足。"
}
},
"deals": [
{
"title": "南门涮肉·洛神花饮品1扎",
"source": "美团",
"productId": "1441666894",
"originalPrice": "3?",
"salePrice": "2?",
"salePriceMin": 20.0,
"salePriceMax": 30.0,
"originalPriceMin": 30.0,
"originalPriceMax": 40.0,
"discountRate": 0.76,
"salesVolume": 2153,
"salesVolumeText": "2100+",
"badges": [
"门店销量第1名"
],
"usageTags": [
"周一至周日",
"免预约"
],
"soldOut": 2,
"image": "http://p1.meituan.net/deal/427299fb34ea2cfd8b66f3c36c3b647d34857.jpg",
"photos": [
"http://p1.meituan.net/deal/427299fb34ea2cfd8b66f3c36c3b647d34857.jpg"
],
"recommendTag": "超值特价",
"validity": null,
"url": "https://meishi.meituan.com/meishi/deal/index.html?did=1441666894&source=BDMAP_H5&sourceUniApp=BDMAP_H5&utmSource=bdmap_poi&cApiFlowChannel=baiduMapH5&oscPoiIdEncrypt=qe_sX8MRqDxdNU5XnO1_vQ&poiIdEncrypt=qB4r12797fae0bbb99e073a337954e26365evxu5&cityId=1&utmSource=detailpage&lng=7.831269&lat=47.982258",
"salePriceExact": 28.8,
"originalPriceExact": 38.0
}
]
}

Advanced Usage

Ready-made configurations for lead generation, competitor research, review mining, and local market analysis.

Restaurant leads with phone numbers, filtered by rating

{
"query": ["火锅", "烧烤", "日料"],
"city": "成都",
"maxResults": 500,
"minRating": "4.0",
"minReviewCount": 50
}

Review mining for sentiment analysis

{
"query": ["咖啡"],
"city": "上海",
"maxResults": 50,
"includeReviews": true,
"maxReviews": 250
}

Hotel rates and booking partners

{
"query": ["酒店"],
"city": "深圳",
"maxResults": 200,
"includeDetails": true
}

Full editorial content for a shortlist

{
"placeUrls": ["6b3f478ebf5dd0723310af64"],
"includePlaceContent": true,
"includeReviews": true
}

How Much Does It Cost to Scrape Baidu Maps?

$3.99 per 1,000 places at the base tier, with volume discounts down to $3.29.

EventPer 1,000When charged
Place scraped$3.99Every place returned
Place details enriched$1.99On by default; coordinates, coupons, deal price
Review scraped$2.99Only when reviews are enabled

Volume discounts bring places down to $3.29, details to $1.49, and place highlights from $4.99 to $2.99 per 1,000. Reviews stay at $2.99 per 1,000 on every plan. Reviews and highlights are both off by default, so a standard run pays only for places and details.

FAQ

Does Baidu Maps have an API, and why use this instead? Baidu offers a developer platform, but it requires a Chinese-verified account, applies per-day quotas, and returns a much thinner record than the app shows: no reviews, no coupon values, no group-buy prices, and no editorial content. This actor needs no key or quota and returns all of it.

What is Baidu Maps (Baidu Ditu / 百度地图)? Baidu Maps is the most-used mapping service in mainland China, run by Baidu. It is also written Baidu Map or Baidu Ditu, and covers points of interest, navigation, reviews, and local commerce. This actor extracts its place listings: business details, contacts, coordinates, reviews, and the coupon and group-buy offers attached to a place.

How many places can I extract? A single keyword search tops out around 185 places. Ask for more and the actor automatically sweeps the city area by area to reach your target. Combining several keywords is the best way to cover a city fully.

How fresh is the data? Every run fetches live data at the moment you start it. Nothing is cached between runs.

Why do some reviews look machine-written? Because many are. Baidu mixes real user reviews with third-party aggregated content and AI-generated text, and does not flag this in its own app. Every review carries a sourceClass of ugc (real user), tp (third-party), or aigc (AI-generated), so you can filter to genuine reviews yourself.

Do I get exact group-buy deal prices? For the headline deal on each place, yes: featuredDeal carries the real before and after price. Baidu hides the exact figure on the remaining deals in the list, so those come with a guaranteed price range plus the exact discount rate.

Are coordinates usable outside China? Yes. Chinese maps use offset coordinate systems, and this actor converts to standard WGS84, so the points line up with Google Maps, PostGIS, and normal GIS tooling without further correction.

How do I export the data? Download JSON, CSV, Excel, XML, or HTML from the run's Storage tab, or pull it through the Apify API. JSON preserves the nested reviews, coupons, and deal objects best; CSV flattens them.

Which places have coupons and deals? Coupons appear on the to-store categories: restaurants, cafés, milk tea, entertainment venues, gyms, and beauty salons. Hotels carry their own subsidy and spend-threshold vouchers. Group-buy deals are food and drink only.

Can I search a whole province or all of China at once? No, search runs per city. Run the actor once per city, or use a task per city and schedule them.

Can I also get Amap (Gaode) places? Yes, through the Amap Places Scraper. Running both and matching on name plus coordinates gives noticeably better coverage than either alone.

What is the free tier? There is no run cap. Free-plan users get the same output as paying users and simply spend their own platform credit.

Is it legal to scrape Baidu Maps place data? This actor collects publicly available listing data only, nothing behind a login. You are responsible for complying with Baidu's terms of service and with applicable data protection law, including GDPR, CCPA, and China's PIPL. Reviews contain reviewer display names, which count as personal data in most jurisdictions; treat them accordingly.

More Zen Studio scrapers for maps & local data

Support

  • Bugs: Issues tab
  • Features: Issues tab

Extracts publicly available data. Users must comply with Baidu Maps terms and data protection regulations (GDPR, CCPA, PIPL).


Every place in mainland China, with its contacts, coordinates, deals, and reviews.