# Anjuke 安居客 Rent Scraper - 100+ Fields, 677 Cities (`zen-studio/anjuke-rent-scraper`) Actor Extract rental listings (租房) from Anjuke across 677 Chinese cities. Get rent, photos, video tours, broker profiles, community price trends, nearby metro & schools. Filter by district, rent range, rooms, whole vs shared, broker vs private owner. 100+ fields per listing. - **URL**: https://apify.com/zen-studio/anjuke-rent-scraper.md - **Developed by:** [Zen Studio](https://apify.com/zen-studio) (community) - **Categories:** Real estate, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $7.99 / 1,000 listings This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Anjuke 安居客 Rent Scraper | 租房 Listings & Broker Data Across 677 Chinese Cities (2026) ![Anjuke Rent Scraper](https://iili.io/BgfVSkl.png)
100+ data points per listing across 677 cities — rent per month, photos, video walkthroughs, broker or private-owner info, appliances, community price trends, nearby metro & schools.
Zen Studio Real Estate   •  Listings, prices, and broker data from major housing markets
 Anjuke Sale Listings
二手房 for-sale from 677 Chinese cities — same pipeline, same community enrichment
### Key Features - **100+ data points per listing** — rent, floor plan, photos, video tours, broker or owner info, full community price history, nearby schools and metro with walking distances - **677 Chinese cities** — tier-1 (北京 / 上海 / 广州 / 深圳) through county-level - **Filter by rental type** — 整租 (whole), 合租 (shared), 长租公寓 (branded apartments), 保租房 (subsidized), plus broker vs private owner - **Bilingual output** — Chinese fields preserved alongside normalized English structure ### How to Scrape Anjuke Rent Listings #### Basic — 50 Beijing listings ```json { "city": "beijing", "maxResults": 50 } ```` #### Filtered — Haidian 2BR, ¥5-8k, with elevator ```json { "city": "beijing", "location": "海淀", "rooms": ["2BR"], "rentMinRmb": 5000, "rentMaxRmb": 8000, "features": ["elevator"], "rentalType": "whole", "maxResults": 100 } ``` #### Private-owner listings only ```json { "city": "shanghai", "listedBy": "private", "maxResults": 50 } ``` #### Branded long-term apartments (Ziroom / Danke / Vanke Port) ```json { "city": "shenzhen", "rentalType": "brandedApartment", "maxResults": 100 } ``` ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `city` | string | *required* | City pinyin or Chinese name. 677 supported cities. | | `maxResults` | integer | `50` | Number of listings. 10-5000. | | `location` | string | — | District / community / metro line / metro station. | | `rentMinRmb` | integer | — | Lower rent bound in ¥/month. | | `rentMaxRmb` | integer | — | Upper rent bound in ¥/month. | | `rooms` | array | — | `1BR`, `2BR`, `3BR`, `4BR_PLUS`. Multi-select. | | `rentalType` | string | `any` | `whole`, `shared`, `brandedApartment`, `subsidized`. | | `listedBy` | string | `any` | `broker`, `private`. | | `propertyType` | string | `any` | `residential`, `apartment`, `villa`, etc. | | `orientation` | array | — | `south`, `north`, `southEast`, ... | | `fitment` | array | — | `rough`, `simple`, `good`, `luxury`. | | `features` | array | — | 14 options: `elevator`, `nearSubway`, `vrTour`, `deposit1Rent1`, ... | | `keyword` | string | — | Free-text search across title and description. | ### What Data Can You Extract from Anjuke Rent Listings? Every result includes: - **Core listing** — house ID, URL, title, rent per month, layout, area (m²), category tags, rental type - **Media** — 1-20 photos, video walkthrough URL (when available) - **Appliances** — 13-category boolean grid (bed, fridge, AC, washer, TV, broadband, sofa, kitchen access, wardrobe, balcony, heating, water heater, bathroom) - **Basic info** — payment schedule (付3押1 / 押一付一), published date, orientation, floor & total floors, building age, fitment level - **Broker OR owner** — either full broker profile (name, agency, store, rating, service tags, seniority) OR private-owner display name + tags + verification status - **Community** — canonical ID, name, lat/lng, total households, developer, avg ¥/m², 6-month price trend, live rent/sale/new-build counts, nearby metro with walking distance, nearby schools with distance and type, market sentiment - **Description** — full marketing copy from the broker / owner - **Timestamps** — scrape time in ISO 8601 UTC #### Output Example ```json { "houseId": "4503423129639944", "url": "https://beijing.zu.anjuke.com/fangyuan/4503423129639944x.html", "title": "近地铁 天通苑800至3000不等 无中介 包物业取暖随时看", "rentPerMonthRmb": 1550, "priceUnit": "", "model": "3室1厅2卫", "areaSqm": 10.0, "houseType": "合租", "categoryTags": ["合租", "近地铁", "精装修"], "searchTags": ["独立单间", "押一付一", "独卫", "近地铁", "南北通透", "配套齐全", "精装修"], "isAnjukeGuaranteed": true, "photos": [ "https://pic1.ajkimg.com/display/anjuke/de52a8c696b640c8b3fc9b92c9aa73c2/420x315.jpg", "https://pic1.ajkimg.com/display/anjuke/38bb123699085ded589510117b7475e2/420x315.jpg", "// ... 7 more photos" ], "video": null, "appliances": { "床": true, "冰箱": true, "空调": true, "洗衣机": true, "电视": false, "宽带": true, "沙发": true, "可做饭": true, "衣柜": true, "阳台": true, "暖气": true, "热水器": true, "卫生间": true }, "basicInfo": { "paymentSchedule": "付1押1", "publishedAt": "2026-03-23", "orientation": "南北", "floor": {"type": "mid", "total": 11, "raw": "中层（共11层）"}, "ageOfBuilding": "2008年", "fitment": "精装修" }, "description": "天通苑是北京以家庭的需要为核心从项目硬件到生活软件，配合全新物业形态统一规划的全功能亲人社区……", "broker": { "id": "200402229", "name": "段晓雪", "photo": "https://spic1.ajkimg.com/COfbhB-Cua1WA9jhR-6BQgnlLRcliAfbFVn5SRTGO7pzziQI2B1TriIGITFxfd09uBYH780oUg828R4PVt9lZKWE...", "companyName": "天成安居", "storeName": "天成安居租赁中心店", "rating": 4.9, "seniorityYears": null, "serviceTags": [] }, "owner": null, "source": "broker", "community": { "id": "916668", "name": "天通中苑(52-65号楼)", "address": "立水桥东二路", "lat": 40.069238, "lng": 116.423267, "areaName": "昌平", "blockName": "", "yearBuilt": 2008, "totalHouseHoldNum": 1926, "parking": "1350(1:0.7)", "developer": "北京顺天通房地产开发有限公司", "averageUnitPriceRmb": 35023, "monthChangePercent": 4.77, "marketSentiment": "观望", "rentNumNow": 128, "saleNumNow": 14, "newBuildNumNow": 0, "metro": [ {"line": "18号线", "station": "太平庄", "walkingDistanceMeters": 781}, {"line": "18号线", "station": "天通苑", "walkingDistanceMeters": 1095}, {"line": "5号线", "station": "天通苑南", "walkingDistanceMeters": 1343}, {"line": "17/18号线", "station": "天通苑东", "walkingDistanceMeters": 1869} ], "schools": [], "priceTrend6mo": [ {"date": "26/4", "pricePerM2Rmb": 35023}, {"date": "26/3", "pricePerM2Rmb": 33428}, {"date": "26/2", "pricePerM2Rmb": 32086}, {"date": "26/1", "pricePerM2Rmb": 32776}, {"date": "25/12", "pricePerM2Rmb": 33548}, {"date": "25/11", "pricePerM2Rmb": 32867} ] }, "cityId": "14", "cityName": "北京", "scrapedAt": "2026-04-18T05:03:11Z" } ``` #### Private-owner listing shape (个人房源) For listings posted by individual landlords, `broker` is `null` and `owner` is populated instead: ```json { "broker": null, "owner": { "displayName": "先先生", "tags": ["实名认证"], "isVerified": true }, "source": "private" } ``` ### Advanced Usage #### Rent range with multiple rooms and features ```json { "city": "shanghai", "rooms": ["1BR", "2BR"], "rentMinRmb": 4000, "rentMaxRmb": 12000, "features": ["elevator", "nearSubway", "vrTour"], "orientation": ["south"], "maxResults": 200 } ``` #### Metro station search ```json { "city": "beijing", "location": "中关村", "rentalType": "whole", "maxResults": 50 } ``` #### First-time rentals with owner recommendations ```json { "city": "hangzhou", "features": ["firstRental", "ownerRecommended"], "maxResults": 100 } ``` #### Shared-rental (合租) with independent-room filter ```json { "city": "beijing", "rentalType": "shared", "features": ["independentRoom"], "rentMaxRmb": 4000, "maxResults": 50 } ``` ### Pricing **From $7.99 / 1,000 listings** — pay-per-event on the `listing-scraped` event. Only fully enriched listings delivered to your dataset are charged. Your Apify subscription tier applies a volume discount automatically. | Plan | Per 1,000 | Per listing | |---|---|---| | Free | $9.99 | $0.00999 | | Bronze | $8.99 | $0.00899 | | Silver | $8.49 | $0.00849 | | Gold | $7.99 | $0.00799 | **Cut cost:** narrow with `location` + `rooms` + `rentMinRmb`/`rentMaxRmb` + `rentalType` before enrichment, set `maxResults` to your real need (actor stops at cap), and split wide surveys by district or rent band. ### FAQ **How many listings can I extract?** Up to 5,000 per run. Beyond that, split into narrower queries (by district, rent band, or room count). **How fresh is the data?** Every run scrapes live listings directly from Anjuke. Rent listings turn over faster than sale, so results reflect current availability. **What currency are prices in?** Rent is in RMB per month (¥/month). Community average prices are in RMB per square meter. **Does it work for all 677 Anjuke cities?** Yes. City dropdown covers every city Anjuke supports. Tier-1 cities have the most filter options (保租房 subsidized, 长租公寓 branded apartments, metro lines). Smaller cities silently return empty for those categories — just broaden the filter. **Do private-owner listings include contact info?** Display name is shown surname-only (Anjuke privacy policy — e.g. "先先生"). Real-name verification status (`实名认证`) is included when present. Phone numbers are not exposed by Anjuke for either brokers or private owners. **What's the difference between `rentalType` and `listedBy`?** `rentalType` is what kind of rental (整租 whole flat, 合租 shared, brandedApartment, subsidized). `listedBy` is who's listing it (broker vs private owner). Use them together — e.g. `rentalType=whole` + `listedBy=private` for whole-flat private-owner listings. **Can I filter by metro line?** Yes. Set `location` to the line name (e.g. `10号线`) or station name (e.g. `中关村`). Location autocomplete resolves it automatically. **Why is broker `rating` sometimes `null`?** New brokers haven't accumulated ratings yet. The field is populated as soon as the broker gets reviews. **What's the free tier?** Contact support for free-tier details. ### Support - **Bugs**: Issues tab - **Features**: Issues tab ### Legal Compliance Extracts publicly available data. Users must comply with Anjuke terms and data protection regulations (GDPR, CCPA). *** *Scrape rental listings from Anjuke (安居客) across 677 Chinese cities with full broker or owner info, community price trends, and nearby facilities.* # Actor input Schema ## `city` (type: `string`): City to search (城市).

Start typing to filter — every city shows both its Chinese name (e.g. 北京) and pinyin (e.g. beijing). All 677 Anjuke-supported cities are available, from tier-1 (北京 / 上海 / 广州 / 深圳) down to county-level cities (县级市). ## `maxResults` (type: `integer`): How many listings (房源) to return.

Prefilled at 50 for a quick, low-cost first run. Increase after you like the output.

Need more than 5,000? Split into multiple narrower queries (by district 区, rent band 价格段, or room count 户型) — Anjuke's ranking gets noisy deep into the feed. ## `location` (type: `string`): Narrow to a specific area (区域).

Accepts:
• District / 区 — e.g. 海淀 (Haidian)
• Community / 小区 — e.g. 万科城
• Metro line / 地铁线 — e.g. 10号线
• Metro station / 地铁站 — e.g. 中关村

Leave empty for a citywide search. ## `rentMinRmb` (type: `integer`): Lower rent bound / 月租下限 in ¥/month.

Example: 3000 = ¥3,000/month. Leave empty for no minimum. ## `rentMaxRmb` (type: `integer`): Upper rent bound / 月租上限 in ¥/month.

Example: 8000 = ¥8,000/month. Leave empty for unbounded. ## `rooms` (type: `array`): Number of bedrooms (卧室数). Select one or more — OR'd together. ## `rentalType` (type: `string`): What kind of rental to search for (租房类型).

• Whole flat (整租) — rent the entire unit to yourself
• Shared (合租) — rent one room in a multi-bedroom unit
• Branded apartment (长租公寓) — professionally-managed chain listings. Inventory concentrated in tier-1 and larger tier-2 cities (北京, 上海, 广州, 深圳, 成都, 杭州, 南京 …); smaller cities typically return no results.
• Subsidized (保租房) — government-subsidized. Tier-1 cities only (北京, 上海, 广州, 深圳). ## `listedBy` (type: `string`): Filter by who's listing the property (房源来源).

• Broker (经纪人) — agency-listed, full broker profile in output
• Private owner (个人房源) — individual landlord, owner info in output instead of broker

Ignored when Rental type is set to Branded apartment or Subsidized (those have an implicit source). ## `propertyType` (type: `string`): Filter by property classification (房屋类型). Leave as Any / 不限 to include all types. ## `keyword` (type: `string`): Free-text search across title and description (关键词搜索).

Examples:
• 地铁 — near subway
• 押一付一 — 1 month deposit + 1 month rent
• 首次出租 — first-time listing
• 精装修 — premium finish ## `orientation` (type: `array`): Building orientation (朝向) — south-facing (南向) units get the best light in the northern hemisphere. Select one or more. ## `fitment` (type: `array`): Interior finish level (装修状况). Most rent listings are 精装修. ## `features` (type: `array`): Amenity and listing flags (特色标签). Combine for multi-filter matches. Some features (近地铁, 保租房) are only meaningful in tier-1 cities. ## Actor input object example ```json { "city": "beijing", "maxResults": 50, "rentalType": "any", "listedBy": "any", "propertyType": "any" } ``` # Actor output Schema ## `listings` (type: `string`): Link to the dataset containing all scraped Anjuke rent listings. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "city": "beijing", "maxResults": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("zen-studio/anjuke-rent-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "city": "beijing", "maxResults": 50, } # Run the Actor and wait for it to finish run = client.actor("zen-studio/anjuke-rent-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "city": "beijing", "maxResults": 50 }' | apify call zen-studio/anjuke-rent-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=zen-studio/anjuke-rent-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Anjuke 安居客 Rent Scraper - 100+ Fields, 677 Cities", "description": "Extract rental listings (租房) from Anjuke across 677 Chinese cities. Get rent, photos, video tours, broker profiles, community price trends, nearby metro & schools. Filter by district, rent range, rooms, whole vs shared, broker vs private owner. 100+ fields per listing.", "version": "0.0", "x-build-id": "Z02qemBTL2HaJjfbw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/zen-studio~anjuke-rent-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-zen-studio-anjuke-rent-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/zen-studio~anjuke-rent-scraper/runs": { "post": { "operationId": "runs-sync-zen-studio-anjuke-rent-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/zen-studio~anjuke-rent-scraper/run-sync": { "post": { "operationId": "run-sync-zen-studio-anjuke-rent-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "city", "maxResults" ], "properties": { "city": { "title": "City", "enum": [ "shanghai", "guangzhou", "shenzhen", "beijing", "chengdu", "nanjing", "tianjin", "hangzhou", "suzhou", "chongqing", "dalian", "wuhan", "jinan", "foshan", "wuxi", "zhengzhou", "changsha", "shijiazhuang", "zghk", "qingdao", "xian", "ningbo", "hefei", "dongguan", "fuzhou", "kunming", "guiyang", "taiyuan", "shenyang", "kunshan", "nanchang", "zhuhai", "changzhou", "zhongshan", "jiaxing", "xiamen", "yantai", "haerbin", "haikou", "changchun", "sanya", "huizhou", "baoding", "guilin", "handan", "huhehaote", "jilin", "lanzhou", "langfang", "luoyang", "mianyang", "nanning", "nantong", "qinhuangdao", "quanzhou", "shaoxing", "taizhou", "tangshan", "weihai", "weifang", "xuzhou", "yangzhou", "yichang", "yinchuan", "zhenjiang", "zibo", "liuzhou", "jiangmen", "yangjiang", "laiwu", "jingmen", "huanggang", "yongzhou", "huainan", "huangshan", "fuyang", "luan", "yulinshi", "kaifeng", "hebi", "jinzhou", "jingdezhen", "ganzhou", "jian", "panzhihua", "luzhou", "deyang", "nanchong", "guangan", "qujing", "lijiang", "dali", "wulumuqi", "zhangjiakou", "shantou", "wenzhou", "anshan", "jining", "zhuzhou", "hengyang", "dezhou", "jinhua", "baotou", "cangzhou", "nanyang", "binzhou", "rizhao", "dongying", "taian", "linyi", "anyang", "taiz", "zhangzhou", "jieyang", "liaocheng", "pingdingsha", "baoji", "daqing", "maoming", "lianyungang", "huzhou", "xiangtan", "zhanjiang", "zhaoqing", "xiangyang", "zaozhuang", "yancheng", "shiyan", "yueyang", "hengshui", "xinxiang", "lishui", "ningde", "zhoushan", "changji", "xinyang", "jinzhong", "sanmenxia", "loudi", "xianyang", "zunyi", "wuhu", "xingtai", "jiujiang", "xiaogan", "xining", "sanming", "shaoguan", "jiaozuo", "chifeng", "changde", "leshan", "hanzhong", "eerduosi", "xuchang", "shangqiu", "jincheng", "anqing", "huaian", "liaoyang", "wuzhou", "zhumadian", "maanshan", "huangshi", "panjin", "pingxiang", "dandong", "lasa", "xinzhou", "bengbu", "jingzhou", "mudanjiang", "heze", "yuncheng", "linfen", "chenzhou", "yichun", "fushun", "huaihua", "benxi", "qiqihaer", "yingkou", "neijiang", "yulin", "suqian", "suihua", "tieling", "zigong", "longyan", "chengde", "guigang", "jiamusi", "quzhou", "changzhi", "datong", "shaoyang", "yibin", "luohe", "puyang", "qingyuan", "putian", "huaibei", "dazhou", "tongliao", "suining", "huludao", "fuxin", "shangrao", "fuzhoushi", "siping", "yiyang", "chizhou", "chuzhou", "tongling", "nanping", "heyuan", "beihai", "yiwu", "chaoyang", "ankang", "yuxi", "qinzhou", "shihezi", "ziyang", "yili", "liangshan", "bayinguoleng", "meishan", "qingyang", "chaozhou", "xuancheng", "bazhong", "honghe", "shunde", "zhoukou", "suzhoushi", "zhangqiu", "songyuan", "yangquan", "kashi", "tianshui", "enshi", "shuyang", "yanan", "guangyuan", "liupanshui", "meizhou", "anshun", "jiuquan", "bayannaoer", "weinan", "shizuishan", "zhangjiajie", "suizhou", "ezhou", "bozhou", "hami", "xianning", "wuhai", "yingtan", "wenshan", "chuxiong", "chaohu", "kelamayi", "xinganmeng", "wuwei", "yanbian", "jixi", "jiyuan", "tonghua", "xinyu", "shuozhou", "wulanchabu", "baiyin", "shanwei", "baicheng", "hegang", "liaoyuan", "zhucheng", "puer", "hulunbeier", "yufu", "aba", "akesu", "ali", "alaer", "alashanm", "baise", "baishan", "boertala", "bijie", "xishuangbanna", "baoshan", "changdu", "changge", "chongzuo", "dafeng", "dehong", "dingzhou", "diqing", "dingxi", "dxanling", "fangchenggang", "ganzi", "gannan", "guantao", "guoluo", "guyuan", "haibei", "haidong", "hainan", "hechi", "heihe", "hexian", "hezhou", "hailaer", "huoqiu", "hetian", "huangnan", "hexi", "jinchang", "jiayuguan", "kenli", "lezilesu", "laibin", "lingcang", "linxia", "linyishi", "linzhi", "longnan", "lvliang", "minggang", "naqu", "nujiang", "pingliang", "zhuanghe", "qiandongnan", "qianjiang", "qingxu", "qiannan", "qitaihe", "qianxinan", "rikeze", "ruian", "sansha", "shangluo", "shannan", "shennongjia", "shuangyashan", "taishan", "tongchuan", "tulufan", "tianmen", "tumushuke", "tongcheng", "tongren", "wafangdian", "wujiaqu", "wuyishan", "wuzhong", "wuzhishan", "xiangxi", "xiantao", "xilinguole", "yaan", "yangchun", "yanling", "yichunshi", "yushu", "yueqing", "yuzhou", "yongxin", "zhengding", "zhangbei", "zhangye", "zhaotong", "weizhong", "zhaoxian", "taicang", "qidong", "longkou", "nananshi", "shishi", "jinjiangshi", "zhuji", "shouguang", "rugao", "haimen", "haianxian", "rudongxian", "wnelingshi", "liyang", "pizhou", "xinyishi", "haining", "tongxiang", "dongyang", "dongtai", "jianhuxian", "danyang", "yangzhong", "taixing", "jingjiang", "xinghuashi", "huidongxian", "boluoxian", "changxingxian", "deqingxian", "yidou", "donghaixian", "yuyao", "cixi", "ningguo", "xiangshanxian", "rituxian", "gaizexian", "wenchang", "wanning", "tunchang", "qh", "lingshui", "dongfang", "tianchang", "da", "cm", "danzhou", "xzpeixian", "jiashanxian", "changshushi", "aletai", "tuscaloosa", "yanjiao", "rongchengshi", "tengzhoushi", "qiananshi", "zoupingxian", "zouchengshi", "shenmuxian", "xintaishi", "guangraoxian", "laizhoushi", "feichengshi", "qingzhoushi", "jintan", "jiangyan", "yongkangshi", "linhaishi", "lingbaoshi", "baoyingxian", "gongzhulingshi", "yuhuanxian", "cangnanxian", "hanchuanshi", "jianyangshi", "ruzhoushi", "siyangxian", "sihongxian", "juxian", "caoxian", "renshouxian", "guanghanshi", "anjixian", "guanyunxian", "danxian", "guannanxian", "changyuanxian", "qixian-584", "lepingshi", "anyuexian", "haifengxian", "zhuozhoushi", "xiangchengshi", "zhaoyuanshi", "gaomishi", "wuanshi", "renqiushi", "huantaixian", "zaoyangshi", "rushanshi", "sanheshi", "renhuaishi", "penglaishi", "lilingshi", "jiangyin", "anxi", "anqiu", "anning", "anda", "bazh", "changning-620", "changyi", "changleshi", "dengzhou", "dangyang", "emeishan", "funing", "fuqing", "fuan", "fengcheng", "fengxian", "fengchengshi", "guan", "huadian", "haiyan", "jurong", "jingshan", "jinxian", "jinhu", "kaili", "kaiping", "luannan", "longmen", "linqu", "linqing", "laohekou", "lankao", "laiyang", "mengjin", "puning", "pingtan", "pinghu", "qingzhen", "qianxi", "qixia", "suiningx", "wugang", "youxian", "xinan", "xianghe", "yutian", "yongchun", "yongcheng", "yongan", "yiyangx", "yixing", "yicheng", "yichuan", "zunhua", "zhongxiang", "zhijiang", "zhaozhou", "zhaodong", "zhangjiagang", "guangshui", "shengzhou", "meihekou", "dengta", "beipiao", "shahe", "huanghua", "hejian", "dunhuang", "geermu", "hancheng", "linzhou", "qinyang", "mengzhou", "anlu", "wuxue", "chibi", "yuanjiang", "zixing", "lengshuijiang", "lianyuan", "jishou", "duyun", "xuanwei", "cengxi", "guiping", "beiliu", "zhangshu", "gaoan", "lufeng", "fuding", "kaiyuan", "xiaoyi", "jiangshan", "songzi", "laoling", "yucheng", "pingyang", "xiangyin", "lixian", "fuliang", "huaxian", "shangshui", "cangxian", "wudi", "pingyi", "gucheng", "xinchang", "xuyuxian", "dazhu", "zhangpu", "changning-961", "boxingxian", "cixian", "dingbianxian", "dongmingxian", "dongpingxian", "fuguxian", "gaotangxian", "guanxian", "hengdongxian", "huarongxian", "jingbianxian", "juyexian", "juanchengxian", "liangshanxian", "linyixian", "luyixian", "nanzhangxian", "ningjinxian", "ningyangxian", "panshishi", "qihexian", "qidongxian", "sheyangxian", "shexian", "xinxian", "shenqiuxian", "taikangxian", "tanchengxian", "weishanxian", "wenshangxian", "wuyi", "xiangshuixian", "xinyexian", "yangguxian", "yinanxian", "yiyuanxian", "yunchengxian", "dawuxian", "fanxian", "gushixian", "guiyangxian", "huaibinxian", "xunxian", "lishuxian", "lijingxian", "liulinxian", "nanchengxian", "qixian-1009", "shagnhangxian", "suixian-1011", "tongxuxian", "weishixian", "wuweixian", "xiangyuanxian", "xiaochangxian", "yongxingxian", "yunmengxian", "bobaixian", "cilixian", "dongzhixian", "fenyixian", "fuyushi", "gaopingshi", "jiayuxian", "mileshi", "mianchixian", "nanxian", "qiyangxian", "quxian", "shayangxian", "shaodongxian", "shehongxian", "shuangfengxian", "suixian-1035", "wenxian", "xuanhanxian", "zezhouxian", "changlingxian", "shaoyangxian", "yujiang", "chiping", "dayawana" ], "type": "string", "description": "City to search (城市).

Start typing to filter — every city shows both its Chinese name (e.g. 北京) and pinyin (e.g. beijing). All 677 Anjuke-supported cities are available, from tier-1 (北京 / 上海 / 广州 / 深圳) down to county-level cities (县级市)." }, "maxResults": { "title": "Max results", "minimum": 10, "maximum": 5000, "type": "integer", "description": "How many listings (房源) to return.

Prefilled at 50 for a quick, low-cost first run. Increase after you like the output.

Need more than 5,000? Split into multiple narrower queries (by district 区, rent band 价格段, or room count 户型) — Anjuke's ranking gets noisy deep into the feed.", "default": 100 }, "location": { "title": "Location / 区域", "type": "string", "description": "Narrow to a specific area (区域).

Accepts:
• District / 区 — e.g. 海淀 (Haidian)
• Community / 小区 — e.g. 万科城
• Metro line / 地铁线 — e.g. 10号线
• Metro station / 地铁站 — e.g. 中关村

Leave empty for a citywide search." }, "rentMinRmb": { "title": "Min rent / 最低月租 (¥)", "minimum": 0, "type": "integer", "description": "Lower rent bound / 月租下限 in ¥/month.

Example: 3000 = ¥3,000/month. Leave empty for no minimum." }, "rentMaxRmb": { "title": "Max rent / 最高月租 (¥)", "minimum": 0, "type": "integer", "description": "Upper rent bound / 月租上限 in ¥/month.

Example: 8000 = ¥8,000/month. Leave empty for unbounded." }, "rooms": { "title": "Rooms / 户型", "type": "array", "description": "Number of bedrooms (卧室数). Select one or more — OR'd together.", "items": { "type": "string", "enum": [ "1BR", "2BR", "3BR", "4BR_PLUS" ], "enumTitles": [ "1 bedroom (一室)", "2 bedrooms (两室)", "3 bedrooms (三室)", "4+ bedrooms (四室以上)" ] } }, "rentalType": { "title": "Rental type / 租房类型", "enum": [ "any", "whole", "shared", "brandedApartment", "subsidized" ], "type": "string", "description": "What kind of rental to search for (租房类型).

• Whole flat (整租) — rent the entire unit to yourself
• Shared (合租) — rent one room in a multi-bedroom unit
• Branded apartment (长租公寓) — professionally-managed chain listings. Inventory concentrated in tier-1 and larger tier-2 cities (北京, 上海, 广州, 深圳, 成都, 杭州, 南京 …); smaller cities typically return no results.
• Subsidized (保租房) — government-subsidized. Tier-1 cities only (北京, 上海, 广州, 深圳).", "default": "any" }, "listedBy": { "title": "Listed by / 房源来源", "enum": [ "any", "broker", "private" ], "type": "string", "description": "Filter by who's listing the property (房源来源).

• Broker (经纪人) — agency-listed, full broker profile in output
• Private owner (个人房源) — individual landlord, owner info in output instead of broker

Ignored when Rental type is set to Branded apartment or Subsidized (those have an implicit source).", "default": "any" }, "propertyType": { "title": "Property type / 房屋类型", "enum": [ "any", "residential", "apartment", "villa", "mixedUse", "singleStory", "oldPublic", "siheyuan", "xinli", "other" ], "type": "string", "description": "Filter by property classification (房屋类型). Leave as Any / 不限 to include all types.", "default": "any" }, "keyword": { "title": "Keyword / 关键词", "type": "string", "description": "Free-text search across title and description (关键词搜索).

Examples:
• 地铁 — near subway
• 押一付一 — 1 month deposit + 1 month rent
• 首次出租 — first-time listing
• 精装修 — premium finish" }, "orientation": { "title": "Orientation / 朝向", "type": "array", "description": "Building orientation (朝向) — south-facing (南向) units get the best light in the northern hemisphere. Select one or more.", "items": { "type": "string", "enum": [ "south", "north", "east", "west", "southEast", "southWest", "northEast", "northWest" ], "enumTitles": [ "South (南)", "North (北)", "East (东)", "West (西)", "Southeast (东南)", "Southwest (西南)", "Northeast (东北)", "Northwest (西北)" ] } }, "fitment": { "title": "Fitment / 装修", "type": "array", "description": "Interior finish level (装修状况). Most rent listings are 精装修.", "items": { "type": "string", "enum": [ "rough", "simple", "good", "luxury" ], "enumTitles": [ "Rough / unfinished (毛坯)", "Simple decoration (简单装修)", "Good decoration (精装修)", "Luxury (豪华装修)" ] } }, "features": { "title": "Features / 特色", "type": "array", "description": "Amenity and listing flags (特色标签). Combine for multi-filter matches. Some features (近地铁, 保租房) are only meaningful in tier-1 cities.", "items": { "type": "string", "enum": [ "elevator", "nearSubway", "vrTour", "videoListing", "liveStreamTour", "deposit1Rent1", "firstRental", "ownerRecommended", "anjukeManaged", "onlineSigning", "independentRoom", "discount", "curatedApartment", "verifiedListing" ], "enumTitles": [ "Has elevator (有电梯)", "Near subway (近地铁)", "VR tour (VR看房)", "Video listing (视频房源)", "Live stream tour (直播看房)", "1-month deposit + 1-month rent (押一付一)", "First-time rental (首次出租)", "Owner-recommended (业主自荐)", "Anjuke-managed (省心租)", "Online signing (在线签约)", "Independent room (独立单间, 合租 only)", "Has discount (有优惠)", "Curated apartment (严选公寓)", "Verified listing (核验真房)" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```