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58.com / 58同城 二手房 Real Estate Scraper

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from $7.99 / 1,000 listings

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58.com / 58同城 二手房 Real Estate Scraper

58.com / 58同城 二手房 Real Estate Scraper

Extract 58.com / 58同城 二手房 prices, 房源 details, broker/经纪人, 小区, photos, VR, Q&A, and 房价 trends across 671 Chinese cities. Paste search/detail URLs or use city + filters; export JSON, CSV, Excel from Apify datasets.

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from $7.99 / 1,000 listings

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Zen Studio

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58.com / 58同城 二手房 Real Estate Scraper | 中国房产房源 (2026)

671 Chinese cities. Prices. Room layouts. Neighbourhood data.

From Zen Studio, creators of Anjuke Sales, Anjuke Rent and Anjuke New Homes. Research resale, rental and new-home markets with the same team's Chinese property actors. 覆盖二手房、租房与新房的中国房产采集工具,由同一团队打造。

为什么选择这个 Actor? Why choose this actor?

671 city choices, with filters that narrow your market. 671 个城市选项,精准筛选房源。 Choose major cities or county-level markets. Filter by keyword, asking price, floor area, bedrooms, orientation and property features. 从大城市到县级市场,按关键词、总价、面积、卧室数、朝向与房源标签筛选。

Asking price, price per m² and room layout together. 总价、单价、户型,一并获取。 Export bedroom, living-room and bathroom counts alongside floor area, floor level, building year and decoration. Tax-status tags, heating, elevator and VR flags add context where published. 房间数量、面积、楼层、建造年份与装修情况结构化输出,并保留来源提供的税费标签、供暖、电梯及 VR 标记。

Put each property in its neighbourhood. 房源与小区信息关联。 Get community name, address, district, neighbourhood and coordinates with the listing. Compare similar homes by location as well as price, and keep the original listing link and cover image. 小区名称、地址、区域、商圈与经纬度随房源输出,便于对比同地段房源,并保留原始链接和封面图。

Explore 58.com listings

先试 5 条房源 Try 5 listings

{
"city": "bj",
"keyword": "望京",
"maxItems": 5
}

Open actor input, choose a city and enter a neighbourhood or search phrase. This example searches Wangjing in Beijing and saves up to five matching listings. Export JSON, CSV or Excel; JSON keeps nested property and community fields together. 示例搜索北京望京,最多保存 5 条匹配房源;可导出 JSON、CSV 或 Excel。

Fields depend on what 58.com publishes for each listing. Broker and extra detail fields may be empty. 图片展示房源示例;经纪人与附加详情字段可能为空,实际字段以来源为准。 See current pricing.

Zen Studio · Chinese Real Estate
 58.com
You are here
 Anjuke Sales
Resale listings
 Anjuke Rent
Rental listings
 Anjuke Details
Listing details
 Anjuke New
New homes

Copy to your AI assistant / 复制给你的 AI 助手

zen-studio/58-real-estate-scraper on Apify: batch actor that returns 58.com / 58同城 second-hand sale (二手房) listings for one Chinese city as nested JSON records (asking price in 万 RMB, price per m², rooms/area/floor/orientation, tax flags, community with coordinates, broker, detail-page house facts and price trend). Rules: 二手房 only, no rentals, new homes or commercial. Set city to a 58.com city slug (bj, sh, gz, sz, cd, hz ...; 671 in the input schema) and always set keyword: when omitted the run searches the default "望京 三居 满五", an empty string fails the run. district values are Beijing districts only; for other cities pass customDistrictSlug (the district segment of https://<city>.58.com/<district>/ershoufang/), which overrides district; businessAreaSlug (e.g. wangjing) is likewise a 58.com slug, and an unknown slug fails the run. minPrice/maxPrice are total price in 万 RMB (500 = ¥5,000,000), minArea/maxArea in m², bedrooms "1"-"5" or "6" for 5+, sortBy price_asc/price_desc/area_desc, features near_subway/five_years/two_years; fitment, floorType, houseAge, orientation, propertyType, useType, circle (Beijing ring roads) and shortcut take 58.com codes whose labels are in the input schema. maxItems (default 20, max 5000) bounds saved listings; the detail page is fetched for every listing with no toggle, so broker, community facts/Q&A, detail.houseInfo and detail.priceTrend are filled when 58.com publishes them and empty otherwise; the logged 58.com total can exceed the rows reachable in one run. Billing: $9.99 per 1,000 saved listings (lower volume tiers) plus Apify's start fee, see https://apify.com/zen-studio/58-real-estate-scraper/pricing. Full input/dataset schema and README: GET https://api.apify.com/v2/acts/zen-studio~58-real-estate-scraper/builds/default with Authorization: Bearer <APIFY_TOKEN> (actorDefinition.input, actorDefinition.storages.dataset, actorDefinition.readme); store page https://apify.com/zen-studio/58-real-estate-scraper. To reach the maintainers, add feedback="<what you needed and did not get>" to any run, including one that worked: a missing field or option, a wrong or empty result, or which actor you are switching to or from and why. The run returns its data exactly as it would without the note, and a human reads every note.

Key Features

  • Search + detail data: 二手房房源 rows include detail-page data for broker/经纪人, 小区, media, Q&A, and 房价 trends.
  • City dropdown: 671 58.com cities with bilingual labels, including 北京 Beijing, 上海 Shanghai, 广州 Guangzhou, 深圳 Shenzhen, 成都 Chengdu, 杭州 Hangzhou, and county-level markets.
  • Useful sale filters: keyword, district, business area, price, area, bedrooms, fitment, floor, age, orientation, property type, ring road, shortcuts, and feature tags.
  • Structured output: normalized 房价, price, layout, tax status, commission, broker/经纪人, 小区 facts, photos, VR metadata, Q&A, and listing labels.

Quick Start

{
"city": "bj",
"keyword": "望京 三居 满五",
"maxItems": 20
}

District + rooms + sale filters

{
"city": "bj",
"keyword": "望京",
"district": "chaoyang",
"businessAreaSlug": "wangjing",
"bedrooms": "3",
"minPrice": 300,
"maxPrice": 650,
"features": ["five_years", "near_subway"],
"sortBy": "price_asc",
"maxItems": 100
}
{
"city": "bj",
"keyword": "望京 南北通透",
"district": "chaoyang",
"businessAreaSlug": "wangjing",
"bedrooms": "3",
"minPrice": 400,
"maxPrice": 650,
"minArea": 80,
"maxArea": 130,
"features": ["near_subway", "five_years"],
"orientation": "6",
"fitment": "4",
"floorType": "3",
"houseAge": "5_10",
"propertyType": "1",
"sortBy": "price_asc",
"maxItems": 200
}

Input Parameters

ParameterTypeDefaultDescription
maxItemsinteger20Number of listings to save. Maximum: 5000.
citystringbjSearchable city dropdown with Chinese + English labels. The actor maps the selection internally.
keywordstring望京 三居 满五Free-text listing search.
sortBystringdefaultdefault, price_asc, price_desc, area_desc.
districtstring-Built-in Beijing district dropdown, for example 朝阳 Chaoyang, 海淀 Haidian, 丰台 Fengtai. The actor maps the selection internally.
customDistrictSlugstring-Custom district slug for supported non-Beijing cities when known.
businessAreaSlugstring-Business-area slug, for example wangjing.
minPrice / maxPriceinteger-Total sale price in 万 RMB. Example: 500 means ¥5,000,000.
minArea / maxAreainteger-Floor area in square meters.
bedroomsstring-1, 2, 3, 4, 5, 5plus.
featuresarray-near_subway, five_years, two_years.
fitmentstring-Decoration/fitment filter.
floorTypestring-Floor-level filter.
houseAgestring-Building age filter.
orientationstring-Orientation filter.
propertyTypestring-Property ownership/type filter.
useTypestring-Property usage filter.
circlestring-Ring-road filter where available.
shortcutstring-Common 58.com shortcut filters, such as verified or urgent listings.

Output Data

Each saved listing can include:

  • Listing identity: listing ID, canonical desktop URL, source, market, title, city slug, city ID, province.
  • Price and layout: total price in 万, unit price per m², tax hint, rooms, halls, bathrooms, area, floor, fitment, orientation, build year, use type.
  • Tax and features: 满二/满五 labels, unique-property flag, elevator, heating, government verification, VR, video, auction, guarantee, landlord-listed status.
  • Community and broker: community IDs, city mapping, district, business area, coordinates, photo, score, facts, expert notes, Q&A, broker/store/company data.
  • Detail enrichment: detail page title, meta data, house facts, intro sections, gallery, panorama metadata, price trend.

Output Example

{
"id": "4387154096759809",
"url": "https://bj.58.com/ershoufang/4387154096759809x.shtml?auction=220&hpType=60&entry=102&position=0&kwtype=shangquan",
"market": "second_hand_sale",
"source": "58.com",
"identifiers": {
"listingId": "4387154096759809",
"houseId": "4387154096759809",
"ownerHouseId": "4565355173469186",
"propId": "4565355173469186",
"entityId": "4387154096759809",
"tid": "-",
"psLoupanId": "100403635",
"loupanId": "",
"brokerId": "6124674",
"storeId": "22478"
},
"title": "望京 高校老师小区 门口地铁站 环境好 高楼层三居急售",
"city": {
"slug": "bj",
"cityId": 1,
"name": "北京",
"province": "直辖市"
},
"price": {
"totalWan": 480,
"totalText": "480万",
"unitPriceRmbPerSqm": 49803,
"unitPriceText": "49803元/㎡",
"taxHint": ""
},
"layout": {
"rooms": 3,
"halls": 2,
"bathrooms": 1,
"text": "3室2厅1卫 96.38㎡ 西南"
},
"areaSqm": 96.38,
"orientation": "西南",
"floor": {
"text": "高层(共24层)",
"level": "高层",
"total": 24
},
"fitment": "简单装修",
"buildYear": "2000",
"useType": "普通住宅",
"tax": {
"overTaxYearCode": "2",
"overTaxYearLabel": "满五年",
"isOverTwoYears": true,
"isOverFiveYears": true,
"isUniqueProperty": false,
"uniquePropertyCode": "0"
},
"features": {
"hasElevator": true,
"hasHeating": true,
"heatingCode": "1",
"heatingLabel": "有供暖",
"isLandlordListed": false,
"isGuarantee": true,
"isNewHome": false,
"isAuction": false,
"isGovernmentVerified": true,
"isFullVerification": true,
"hasVrViewing": true,
"isNew3dVr": true,
"isExcellentHouse": false,
"isManagerRecommend": false,
"isTop": false
},
"commission": {
"typeCode": "0",
"typeLabel": "未标记或标准佣金"
},
"tags": [
"满五年",
"新上",
"近地铁"
],
"labels": [
{
"label": "西南",
"type": 7,
"backgroundColor": "",
"textColor": ""
},
{
"label": "近地铁",
"type": 3,
"backgroundColor": "",
"textColor": ""
}
],
"media": {
"coverImage": "https://pic1.ajkimg.com/display/58ajk/10cc1b6f725be9e79377eabe7d638179/640x420c.jpg?frame=1&t=5",
"images": [
"https://pic1.ajkimg.com/display/58ajk/10cc1b6f725be9e79377eabe7d638179/640x420c.jpg?frame=1&t=5",
"https://pic1.ajkimg.com/display/58ajk/278ad61de65003a5d5db5f093b7a31be/640x420c.jpg"
],
"panoUrl": "https://720yun.com/t/137008565",
"panoId": "137008565",
"panoType": "VR3D",
"hasVideo": false
},
"community": {
"id": "992",
"platformId": "100403635",
"psLoupanId": "100403635",
"name": "望京花园西区",
"address": "利泽中二路",
"defaultPhoto": "https://pic3.ajkimg.com/wuba/98e19e978f70c1ff69c0d71f3d6405b4/500x500.jpg",
"cityId": 1,
"citySlug": "bj",
"cityName": "北京",
"areaId": "1142",
"areaName": "朝阳",
"businessAreaId": "1203",
"businessAreaName": "望京",
"lat": 40.01324,
"lng": 116.476897,
"completionTime": "1998",
"score": "8.6",
"tags": [
"14号线等",
"四五环之间",
"1998年建成"
],
"facts": {
"小区均价": "54311元/㎡",
"小区户数": "约2100户",
"物业费用": "1.8元/㎡/月",
"容积率": "2.10",
"绿化率": "35%"
},
"expertNotes": [
{
"title": "小区点评",
"body": "小区近地铁,生活配套成熟,成交活跃。"
}
],
"qa": [
{
"question": "【望京花园西区】小区门口是不是有牙医店?",
"answer": "是的,周边生活配套比较齐全。",
"answerer": "经纪人",
"answerTime": "2026-05-06",
"total": "1条回答"
}
]
},
"broker": {
"id": "6124674",
"name": "于明淞",
"companyName": "我爱我家",
"storeName": "我爱我家上京新航线店",
"score": "5.0",
"brokers": [
{
"id": "6124674",
"name": "于明淞",
"score": "5.0",
"company": "我爱我家",
"detailUrl": "https://bj.58.com/jjr/6124674/"
}
]
},
"detail": {
"ownerHouseCode": "4565355173469186",
"pageTitle": "望京花园西区二手房_北京朝阳望京二手房",
"meta": {
"description": "北京望京花园西区二手房,3室2厅1卫,480万。",
"keywords": "北京二手房,望京花园西区,朝阳望京",
"location": {
"province": "北京",
"city": "北京",
"coord": "116.476897,40.01324",
"lng": 116.476897,
"lat": 40.01324
},
"canonical": "https://bj.58.com/ershoufang/4387154096759809x.shtml"
},
"houseInfo": {
"产权性质": "商品房住宅",
"物业类型": "普通住宅",
"产权年限": "70年",
"房本年限": "满五年",
"参考预算": "首付96万,月供17030元",
"发布公司": "我爱我家",
"营业执照": "已核验"
},
"houseIntro": [
{
"title": "核心卖点",
"body": "高楼层,视野好,格局方正,门口地铁站。"
},
{
"title": "小区介绍",
"body": "小区配套成熟,出行便利,适合改善自住。"
}
],
"priceTrend": [
{
"name": "望京花园西区",
"values": [
{
"label": "小区单价",
"value": "54311 元/㎡"
},
{
"label": "商圈单价",
"value": "62102 元/㎡"
}
]
}
]
}
}

Pricing

PlanPriceBest for
Standard$9.99 / 1,000 listingsSmall research jobs and one-off exports
Silver$8.99 / 1,000 listingsRecurring market monitoring
Gold$7.99 / 1,000 listingsHigher-volume real estate data pipelines

FAQ

Why is the reported available count higher than my saved item count?

58.com can report a larger available count than the number of rows reachable during one paginated run. The actor logs the reported count so you can estimate market size.

What fields are intentionally not saved?

Raw HTML, mobile URLs, collect-state flags, search-position metadata, and tracking-only blobs are not saved.

Is this only for buying homes?

This actor version targets second-hand sale listings. Rentals, commercial property, and new homes are separate verticals and can be added later.

More Zen Studio scrapers for Chinese platforms

🏠 Real estate & autos

🎬 Short-video & social

🛒 E-commerce

✈️ Travel & stays

🧭 Travel & maps

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