Che168 Scraper (二手车之家) | Used Car Listings, Prices and Specs from China (2026)

From SilentFlow. Creators of Facebook Search Scraper and JD Products Scraper (#1 for “jd scraper” in Apify Store search), with 800,000+ combined lifetime runs.

Every used car on che168.com as one clean row, from a model name, a che168 link or a listing ID. Our default test run typed 宝马X5, found the 830 BMW X5 che168 lists across China, and saved the first 20 in 12 seconds, each with its asking price and new-car price in yuan, mileage in kilometres, first registration date, model year, engine, gearbox, drive, color, body type, emission standard, inspection and insurance due dates, city and district, dealer, che168 badges and every photo (22 per car on average). No che168 or Autohome account: a 二手车之家 scraper that starts from the words you already use.

Why choose this actor?

Copying prices from che168 one car at a time? Converting 万 to yuan and 万公里 to kilometres in a spreadsheet? Rebuilding a che168 search URL every time you want another model or another city?

• Type a model or a brand in Chinese, pinyin or English. 宝马X5, golf or Tesla Model 3 all work: the run asks che168 which model you mean and reads its listings, and a brand alone reads every model of it (BMW matched the 674 BMW che168 listed in Shanghai). In our test, Tesla Model 3 in Guangdong between 100,000 and 200,000 yuan matched the 298 Model 3 che168 lists there and returned 12 full listings in 11 seconds, battery size, range and battery warranty included. The most used che168 scraper takes one search URL per run and nothing else.
• Or paste che168 links and listing IDs, in the same run. A search link keeps its city, brand, model and price band; a listing link or a bare ID returns that one car in full. Three listing IDs and one listing link returned 4 full listings in 4 seconds, and a Beijing VW Golf search link returned 15 of its 28 cars, newest first, in 9 seconds.
• No required field: the form runs as it opens. Every field is optional and the form comes prefilled with 宝马X5, so the first click on Start returns rows. Leave everything empty and the run reads the latest listings of all China: 50 cars in 28 seconds in our test. The most used che168 scraper makes its search URL field mandatory.

Try your first 20 listings

Paste this input in the JSON tab of the Input page and press Start. It reads the first 20 BMW X5 for sale anywhere in China.

{
  "searches": ["宝马X5"],
  "location": "china",
  "maxItems": 20,
  "sortBy": "relevance"
}

It runs on the Apify Free plan. Each car becomes one row of your dataset: open the Output tab to see the table with photo, price, mileage, first registration and city, or switch to the "Specs" view to compare brand, model year, engine, gearbox, fuel, body, color and new-car price side by side. Export the rows as JSON, CSV or Excel, or pull them from the API.

Copy to your AI assistant

Paste this block into Claude, ChatGPT or Cursor to give it the full picture of this scraper:

You have access to the Che168 Scraper on Apify: silentflow/che168-scraper

It reads used-car listings of che168.com (二手车之家, Autohome's used-car marketplace, China) without an
account and returns one row per car, its full listing page included.

Input schema (no field is required; with no model, link or ID it reads the latest listings of the place):
- searches (array of strings): brands or models in Chinese, pinyin or English: "宝马X5", "golf",
  "Tesla Model 3", "比亚迪汉", "BMW". A model reads that model, a brand alone every model of the brand.
- startUrls (array of {url}): che168 search pages (https://www.che168.com/beijing/baoma/x5/,
  https://www.che168.com/china/dazhong/gaoerfu/10_15/) or listing pages
  (https://www.che168.com/dealer/507024/60267762.html). A search link keeps its city, brand, model, price.
- listingIds (array of strings): che168 listing IDs such as "60267762".
- location (string, default "china"): city or province for the model searches, in Chinese, pinyin or
  English ("上海", "shenzhen", "Guangdong") or a six-digit area code ("440300").
- maxItems (integer, default 50): most listings returned, all entries together.
- minPrice, maxPrice (integer, yuan): asking price bounds. 100000 is 10万.
- sortBy (string, default "relevance"): relevance, newest, price_asc, price_desc, mileage_asc, age_asc.

Output per car (one flat object):
- identity: id (integer, stable che168 listing ID), url, title, brand, brandId, series, seriesId,
  specName, specId, modelYear, manufacturer
- content: description (seller text), tags (che168 badges), usage, isNewEnergy, hasWarranty,
  isLoanAvailable
- vehicle: vinMasked, engine, displacementL, transmission, fuelType, driveType, aspiration, seats, color,
  bodyType, emissionStandard, acceleration0to100s, fuelConsumptionWltc, fuelConsumptionNedc,
  batteryCapacityKwh, electricRangeKm, fastChargeHours, slowChargeHours, energyKwhPer100km, batteryType,
  batteryWarranty, warrantyPolicy
- measures: price (yuan), currency ("CNY"), newCarPrice (yuan), discountPercent, downPayment (yuan),
  mileageKm, transferCount, followers, photoCount
- place and time: city, cityId, province, provinceId, district, firstRegistrationDate (YYYY-MM-DD),
  registrationYear, inspectionDue (YYYY-MM), insuranceDue (YYYY-MM), listedDate (YYYY-MM-DD), listedAgo,
  launchDate
- media: imageUrl, images (all photos), videoUrl
- seller: dealerId, dealerBadge, sellerType ("dealer" or "private")
- scrapedAt (RFC 3339)
Absent values are null. Chinese names stay in Chinese; numeric IDs are stable for joins.

Use apify-client for Python or JavaScript: client.actor("silentflow/che168-scraper").call(run_input={...}),
then client.dataset(run["defaultDatasetId"]).list_items().items.

How to scrape che168 used car listings

Three inputs, from the simplest to a combined search. Each one runs as is.

Get the BMW X5 for sale across China

{
  "searches": ["宝马X5"],
  "maxItems": 20
}

The model name is enough. che168 lists several hundred X5 at any time; raise maxItems to read more of them.

Find electric Model 3 under 200,000 yuan in Guangdong

{
  "searches": ["Tesla Model 3"],
  "location": "Guangdong",
  "minPrice": 100000,
  "maxPrice": 200000,
  "maxItems": 12
}

English works as well as Chinese. In our test this input returned 12 cars from Shenzhen, Guangzhou, Dongguan, Foshan and Huizhou, all priced between 111,800 and 189,800 yuan, each with battery capacity, range, charging times and battery warranty.

Follow a che168 search and a few cars you already know

{
  "startUrls": [
    { "url": "https://www.che168.com/beijing/dazhong/gaoerfu/" },
    { "url": "https://www.che168.com/dealer/335626/60330175.html" }
  ],
  "listingIds": ["60347513"],
  "sortBy": "newest",
  "maxItems": 30
}

Links and IDs mix in one run. The listings asked by ID or listing link come first, then the search, newest first. A car found twice is saved once.

Input parameters

Parameter	Type	Default	Description
searches	array of strings	prefilled ["宝马X5"]	Brands or models in Chinese, pinyin or English. A model reads that model, a brand alone every model of the brand.
startUrls	array of links	none	che168 search pages or listing pages, copied from your browser.
listingIds	array of strings	none	che168 listing IDs, the number at the end of a listing page address.
location	string	china	City or province for the model searches. Links keep their own city.
maxItems	integer	50	Most listings returned by the run, all entries together.
minPrice	integer	none	Lowest asking price, in yuan.
maxPrice	integer	none	Highest asking price, in yuan.
sortBy	string	relevance	relevance, newest, price_asc, price_desc, mileage_asc or age_asc.

No field is required. With no model, link or ID, the run reads the listings of the chosen place, all of China by default.

Formats accepted

• Models: 宝马X5, 宝马 x5, baoma x5, golf, 高尔夫, Tesla Model 3, 比亚迪汉, 小鹏P7. The run tells you in the log which che168 model it matched ("golf" (大众 高尔夫)).
• Brands alone: 宝马, baoma, BMW, Tesla, 特斯拉, 理想. A brand reads every model of that brand.
• Search links: https://www.che168.com/{city}/{brand}/{model}/{price}/, for example /china/dazhong/gaoerfu/10_15/ (10万 to 15万) or /guangdong/. Mobile links from m.che168.com work too. Trim and body-type selections of a link are not applied, and the log says so.
• Listing links: https://www.che168.com/dealer/507024/60267762.html, https://m.che168.com/cardetail/index?infoid=60267762.
• Places: 上海, 上海市, shanghai, Shanghai, 广东省, Guangdong Province, Inner Mongolia, or a six-digit area code such as 440300 (Shenzhen). The form suggests the whole country and 56 cities and provinces; any other Chinese city works by its area code.
• Prices: whole yuan. 150000 is 15万.

What data can you extract from che168?

One row per car, 67 fields in a flat object, grouped the same way on every row. On our default run (20 BMW X5 across China, 14 different cities), 57 data fields were filled on at least half of the rows.

• Identity: id (che168 listing ID, stable), url (permanent listing page), title, brand and brandId, series and seriesId, specName and specId (the exact trim), modelYear, manufacturer (华晨宝马 for a Chinese-built BMW, 宝马(进口) for an imported one).
• Content: description (the seller's own text), tags (che168 badges such as 0次过户 no ownership transfer, 90天回购 90-day buy-back, 检测报告 inspection report, 准新车 nearly new), usage (家用 family car), isNewEnergy, hasWarranty, isLoanAvailable.
• Vehicle: engine, displacementL, transmission, fuelType, driveType, aspiration, seats, color, bodyType, emissionStandard, acceleration0to100s, fuel consumption (fuelConsumptionWltc, fuelConsumptionNedc), the manufacturer's warrantyPolicy, and vinMasked (the VIN as che168 shows it, maker prefix and last four characters).
• Electric and hybrid cars: batteryCapacityKwh, electricRangeKm, fastChargeHours, slowChargeHours, energyKwhPer100km, batteryType, batteryWarranty. These stay null on petrol cars.
• Measures: price and newCarPrice in yuan with currency, discountPercent (how far below the new-car price the asking price sits), downPayment for financed cars, mileageKm, transferCount (previous owners transfers), followers (people following the listing), photoCount.
• Place and time: city, cityId, province, provinceId, district, firstRegistrationDate, registrationYear, inspectionDue and insuranceDue (month the next safety inspection and the insurance are due), listedDate and listedAgo (when the listing went up), launchDate (when the model came on the market).
• Media: imageUrl (cover), images (every photo of the listing, 22 per car on average in our test), videoUrl when the seller filmed the car.
• Seller: dealerId, dealerBadge (such as 9年老店, a shop open for nine years), sellerType.
• Meta: scrapedAt.

Prices come in yuan, not 万, and mileage in kilometres, not 万公里: a 12.5万 car with 14.3万 km reads "price": 125000, "mileageKm": 143000. Dates are YYYY-MM-DD; inspection and insurance due dates are YYYY-MM, the precision che168 gives. A value che168 does not show is null, never an empty text.

Output example

A complete row from our default run (the images list is cut to 3 of its 22 photos):

{
  "id": 60330175,
  "url": "https://www.che168.com/dealer/335626/60330175.html",
  "title": "宝马X5进口 2018款 xDrive28i",
  "brand": "宝马",
  "brandId": 15,
  "series": "宝马X5(进口)",
  "seriesId": 159,
  "specName": "2018款 xDrive28i",
  "specId": 33307,
  "modelYear": 2018,
  "manufacturer": "宝马(进口)",
  "description": "详情请电话咨询.[金融支持]门槛低，办理快，利率低。超长36.48.60 分期[业内专家]精品车源保证车辆无事故，无火烧，无泡水[专业服务]销售/评估/置换/收购/过户/鉴定/保险等一站式服务。[展厅地址]江苏省 苏州市高新区驰云路10号中泰华二手市场A-102 卡泰驰（苏州众实店）",
  "tags": ["旗舰店", "已检测", "尊享延保", "性价比合理", "90天回购", "0次过户", "检测报告", "新上架"],
  "usage": "家用",
  "isNewEnergy": false,
  "hasWarranty": false,
  "isLoanAvailable": true,
  "vinMasked": "MMF**********8741",
  "engine": "2.0T",
  "displacementL": 2,
  "transmission": "自动",
  "fuelType": "汽油",
  "driveType": "前置四驱",
  "aspiration": "涡轮增压",
  "seats": 5,
  "color": "黑色",
  "bodyType": "中大型SUV",
  "emissionStandard": "欧VI",
  "acceleration0to100s": 7.5,
  "fuelConsumptionWltc": null,
  "fuelConsumptionNedc": 9,
  "batteryCapacityKwh": null,
  "electricRangeKm": null,
  "fastChargeHours": null,
  "slowChargeHours": null,
  "energyKwhPer100km": null,
  "batteryType": null,
  "batteryWarranty": null,
  "warrantyPolicy": "三年或10万公里",
  "price": 125000,
  "currency": "CNY",
  "newCarPrice": 699900,
  "discountPercent": 82.1,
  "downPayment": 37500,
  "mileageKm": 143000,
  "transferCount": 0,
  "followers": 1111,
  "photoCount": 22,
  "city": "苏州",
  "cityId": 320500,
  "province": "江苏",
  "provinceId": 320000,
  "district": "虎丘",
  "firstRegistrationDate": "2018-01-01",
  "registrationYear": 2018,
  "inspectionDue": "2027-01",
  "insuranceDue": "2027-01",
  "listedDate": "2026-10-28",
  "listedAgo": "昨天",
  "launchDate": "2018-01-09",
  "imageUrl": "https://2sc2.autoimg.cn/escimg/auto/g34/M05/14/26/640x480_c42_autohomecar__ChxpV2rZ65KAegJNAA8z8e7Yqyc455.jpg.webp",
  "images": [
    "https://2sc2.autoimg.cn/escimg/auto/g34/M05/14/26/1024x768_c42_autohomecar__ChxpV2rZ65KAegJNAA8z8e7Yqyc455.jpg.webp",
    "https://2sc2.autoimg.cn/escimg/auto/g34/M04/10/55/1024x768_c42_autohomecar__ChtpWGrZ65OAfndPAA5ophBNQtg271.jpg.webp",
    "https://2sc2.autoimg.cn/escimg/auto/g34/M01/14/2B/1024x768_c42_autohomecar__ChxpWGrZ65WAEKtLAAxDKv0KvHg574.jpg.webp"
  ],
  "videoUrl": "https://2sc.autohome.com.cn/video/m.html?infoid=60330175&pvareaid=107991",
  "dealerId": 335626,
  "dealerBadge": "9年老店",
  "sellerType": "dealer",
  "scrapedAt": "2026-10-29T10:58:05Z"
}

Advanced usage

Five recipes for the jobs teams run on che168 data. Each JSON block runs as is.

Build a depreciation curve for one model

{
  "searches": ["丰田凯美瑞"],
  "sortBy": "age_asc",
  "maxItems": 500
}

Read a few hundred Camry from the youngest to the oldest and plot price against registrationYear and mileageKm. newCarPrice and discountPercent give the loss against the new price on each row, so the curve holds trims of different prices together.

Get a daily feed of new listings in one city

{
  "location": "shanghai",
  "sortBy": "newest",
  "maxItems": 200
}

With no model, the run reads every car of the place. Schedule it once a day in the Apify Console and keep the rows whose listedDate is today: the cars that went up in Shanghai since the last run, with their first asking price.

Source export stock by model, city and budget

{
  "searches": ["丰田汉兰达", "本田CR-V", "日产奇骏"],
  "location": "guangdong",
  "minPrice": 80000,
  "maxPrice": 160000,
  "sortBy": "mileage_asc",
  "maxItems": 300
}

Several models in one run, lowest mileage first, inside one province and one budget. transferCount, inspectionDue, insuranceDue, emissionStandard and the tags (0次过户, 检测报告) help sort the cars worth a call. dealerId groups the cars of each dealer.

Compare used electric cars by battery and range

{
  "searches": ["比亚迪汉", "Tesla Model Y", "小鹏P7"],
  "maxPrice": 250000,
  "maxItems": 150
}

Every electric row carries batteryCapacityKwh, electricRangeKm, energyKwhPer100km, fastChargeHours, batteryType and batteryWarranty, so models of different brands sit in the same table for a price per kWh or a price per kilometre of range.

Refresh the cars you already track

{
  "listingIds": ["60330175", "60347513", "60192079"],
  "maxItems": 3
}

Run your list of IDs each week: the price, mileage and badges come back current, and a car sold since the last run is named in the log instead of returning a row. Join on id, which never changes.

FAQ

What is che168? che168.com (二手车之家) is the used-car marketplace of Autohome (汽车之家), one of China's largest car websites. Dealers and private sellers across every Chinese province list their cars there, with photos, prices and che168 inspection badges.

What does this scraper return for each car? One row with 67 fields: identity and trim, seller text and badges, engine, gearbox, fuel, drive, color, body, emission standard, performance and consumption, battery data for electric cars, asking price and new-car price in yuan, mileage in kilometres, first registration, inspection and insurance due dates, listing date, city, province and district, dealer, cover photo, every photo and the video page when there is one.

Do I need a che168 or Autohome account? No. The scraper reads the listings che168 shows to any visitor. No login, no account, no API key.

Can I search in English? Yes. Model and brand names in English or pinyin (golf, Tesla Model 3, baoma x5, BMW) work as well as Chinese ones. The log names the che168 model each search matched. Brand, model, color and city values in the rows stay in Chinese, as che168 writes them; the numeric IDs next to them (brandId, seriesId, cityId) are stable and easy to map.

How many cars can I get? As many as che168 lists for your searches, up to your maxItems. A popular model holds several hundred to a few thousand listings nationwide: 宝马X5 held 830 on the day of our test. Narrow by place or price to get exactly the cars you need.

Can I combine several searches, links and IDs? Yes. Put several models in searches, several links in startUrls and several IDs in listingIds. The place, price bounds and order apply to every model search. Listings asked by ID come first, and a car found by two entries is saved once.

How fresh is the data? Every run reads che168 live. Prices, badges and followers are those of the moment of the run, and scrapedAt records it.

Why does a car I asked for by ID not come back? It was sold or taken down. che168 removes sold cars, and the log lists the IDs that are no longer for sale. You only get rows for cars on sale.

Why is the VIN masked? che168 shows the VIN to visitors with the middle characters hidden. vinMasked keeps what it shows: the maker prefix (WBA, LBV, MMF) and the last four characters, enough to tell an imported car from a Chinese-built one and to match a car you already know.

Are the links permanent? The url of a listing stays the same while the car is for sale, and id never changes. Photo links point to che168's image servers: download the photos you want to keep once a car is sold.

Can I filter by mileage, age or gearbox? Sort by mileage_asc or age_asc to get the lowest mileage or the youngest cars first, then filter the rows on mileageKm, registrationYear or transmission in your spreadsheet or code. Price bounds are applied before the run reads the cars.

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• Realestate.com.au - Realestate.com.au Scraper
• Zapimoveis - Zapimoveis Scraper | Real Estate Listings and Prices
• Zillow - Zillow Scraper
• Airbnb Search - Airbnb Search Scraper | Prices, Fees, Amenities, Hosts
• Anjuke - Anjuke Scraper | Rental Listings, Prices and Agents
• Idealista - Idealista Scraper
• Realtor Rental - Realtor Rental Scraper
• Trulia Rental - Trulia Rental Scraper | US Rentals, Prices, Pet Policy

📣 Social media

• LinkedIn Post Search - LinkedIn Post Search Scraper | Keywords, Hashtags & Profiles
• Facebook Search - Facebook Search Scraper
• Instagram - Instagram Story Scraper | Stories & Highlights
• LinkedIn Leads - LinkedIn Leads Scraper | Sales Navigator Export
• Facebook Search - Facebook Search Profiles Scraper | People by Name or Keyword
• TikTok Trend - TikTok Trend Scraper | Trending Hashtags and Videos
• YouTube - YouTube Channel Scraper | Videos, Shorts and Views
• TikTok - TikTok Scraper
• LinkedIn Sales Navigator - LinkedIn Sales Navigator Scraper
• Pinterest - Pinterest Ads Scraper | Ad Library, Reach & Targeting
• Reddit - Reddit Scraper | Posts, Comments and Subreddits
• Snapchat - Snapchat Videos Scraper | Spotlight Videos, MP4 and Stats
• TikTok Creative - TikTok Creative Ads Scraper | Top Ads, Landing Pages & Metrics
• Discord - Discord Scraper | Servers, Member Counts and Invites
• Kwai - Kwai Scraper | Videos, Creators and Hashtags
• Likee - Likee Scraper | Videos, Hashtags and Creators
• LinkedIn Event - LinkedIn Event Scraper
• LinkedIn Hashtag & - LinkedIn Hashtag & Post Scraper | No Cookies
• Meta Ad Library - Meta Ad Library Scraper
• Bandsintown - Bandsintown Scraper | Concerts and Tour Dates
• Bilibili - Bilibili Scraper | Videos, Profiles, Comments, Danmaku
• Discord - Discord Profiles Scraper | Users, Badges and Server Tags
• Facebook Thread - Facebook Thread Profiles Scraper | Followers, Bios & Engagement
• Instagram Engagement - Instagram Engagement Scraper
• Kuaishou - Kuaishou Scraper | Videos, Comments and Creator Stats
• LinkedIn Ads Library - No Cookies - LinkedIn Ads Library Scraper - No Cookies
• OnlyFans - OnlyFans Profile Scraper
• Pinterest - Pinterest Profiles Scraper | Followers, Emails and Bios
• Pinterest - Pinterest Videos Scraper | Video Downloader, MP4 Links, Stats
• Reddit - Reddit Comments Scraper | Search, Threads and Replies
• Reddit - Reddit Profiles Scraper | User Karma, Activity and Communities
• RedNote - RedNote Videos Scraper | Downloader, Transcripts and Stats
• Snapchat - Snapchat Contacts Scraper | Phones, Emails and Websites
• TikTok Lookalike - TikTok Lookalike Scraper | Influencers, Emails and Engagement
• TwitchTracker - TwitchTracker Scraper | Twitch Streamer Stats and Rankings
• X Timeline - X Timeline Scraper | Tweets and Engagement Stats
• Xigua - Xigua Scraper | Videos, Creators and Downloads
• YouTube Autocomplete - YouTube Autocomplete Scraper | Keyword Suggestions
• Douyin - Douyin Comments Scraper | Comments, Likes and IP Regions
• Facebook - Facebook Company Scraper | Emails, Phones, Ratings
• Facebook Business Page - Facebook Business Page Scraper
• OnlyFans - OnlyFans Creator Scraper
• Reddit - Reddit Scraper | Comments, Posts and Users
• RedNote - RedNote Detail Scraper | Xiaohongshu Details, Images, Videos
• Skool Group - Skool Group Scraper
• Skool Community - Skool Community Scraper
• Snapchat - Snapchat Ads Scraper | Ad Library, Impressions & Targeting
• Weibo - Weibo Scraper | Posts, Profiles and Engagement
• YouTube - YouTube Transcript Scraper

🏢 Business data

• LinkedIn Company Search - LinkedIn Company Search Scraper | Profiles & Firmographics
• Ctrip - Ctrip Scraper | Attractions, Tickets and Reviews
• LinkedIn People Search - LinkedIn People Search Scraper | Profiles & Companies
• 2GIS - 2GIS Reviews Scraper | Ratings, Photos and Owner Replies
• Teachable Course - Teachable Course Scraper
• Website Tech Stack - Website Tech Stack Scraper
• Teachable - Courses, Prices & Instructors - Teachable Scraper - Courses, Prices & Instructors
• Trustpilot - Trustpilot Scraper | Reviews, Ratings and Company Contacts

✈️ Travel

• Tencent - Tencent Scraper | Maps Places, Phones and Ratings
• Flight Price - Flight Price Scraper
• Zomato - Zomato Reviews Scraper | Restaurant Ratings and Replies
• Booking.com Hotel - Booking.com Hotel Scraper
• Despegar - Despegar Reviews Scraper | Hotel Reviews and Ratings
• Google Maps - Google Maps Scraper
• Kakao - Kakao Scraper | Map Places, Reviews and Phones
• OpenTable - OpenTable Reviews Scraper | Restaurant Reviews and Ratings
• TheFork - TheFork Scraper | Restaurants, Menus and Ratings
• Booking - Booking Scraper | Hotel Prices, Photos, Availability
• Trip - Trip Reviews Scraper | Hotel Reviews and Ratings

🎯 Lead generation

• Northdata - Northdata Company Scraper
• Dealroom - Dealroom Scraper | Companies and Investors
• ZocDoc - ZocDoc Scraper | Doctors, Reviews and Availability
• UK Companies House - UK Companies House Enricher
• BuiltWith - BuiltWith Scraper | Tech Stacks and Top Sites
• CNPJ Brazilian - CNPJ Brazilian Company Enricher
• Justdial - Justdial Companies Scraper | Business Leads, Phones and Emails
• PagesJaunes - PagesJaunes Scraper | French Business Emails and SIRET
• PagesJaunes - PagesJaunes Business Scraper
• SIRET - SIRET Company Enricher
• SoftwareAdvice - SoftwareAdvice Scraper | Reviews, Ratings and Pros & Cons
• Company Data - Company Data Scraper | Emails, Phones and Tech Stack
• Dealroom Startup Data - Dealroom Startup Data Scraper
• Delaware - Delaware Scraper | Corporations, LLCs and Registered Agents
• French Company Prospector - French Company Prospector
• G2 - G2 Reviews Scraper
• Pappers - Pappers Scraper | French Companies, Directors & Financials
• SEC - SEC Scraper | EDGAR Filings and Company Data
• Sunbiz - Sunbiz Companies Scraper | New Florida Business Leads
• Sunbiz - Sunbiz Scraper | Florida Companies and Officers
• USPTO - USPTO Scraper | Trademark Search and Status
• Clutch - Clutch Scraper | Agencies, Reviews, Ratings, Services
• Clutch Agency - Clutch Agency Scraper
• Domain - Domain Enricher
• Google Ads Transparency - Google Ads Transparency Scraper
• KVK - KVK Scraper | Dutch Companies and SBI Codes
• SIRET French - SIRET French Company Enricher
• ThomasNet Suppliers - ThomasNet Suppliers Scraper
• ZocDoc - ZocDoc Scraper

🔎 SEO

• Similarweb - Similarweb Scraper | Website Traffic, Rankings and Competitors
• Scribd - Scribd Scraper | Documents, Authors and Views
• SpyFu - SpyFu Scraper | SEO, PPC and Competitor Data
• Apple - Apple Reviews Scraper | App Store Reviews and Ratings
• Apple - Apple Scraper | App Store Apps, Ratings and Charts
• Bing - Bing Enricher Scraper | Mobile Friendly Test and Indexing
• Google News - Google News Scraper

📈 Marketing

• Douyin - Douyin Transcript Scraper | Subtitles and Speech to Text

🎬 Video

• Pexels - Pexels Scraper | Photos, Videos and Download Stats

📰 News

• ForexFactory - ForexFactory Scraper | Economic Calendar and Forecasts

🧰 More tools

• Maersk - Maersk Scraper | Vessel Schedules and Port Calls
• FanDuel - FanDuel Scraper | Odds, Spreads and Player Props
• PrizePicks - PrizePicks Scraper | Player Props, Lines and Projections

Support

Need something this scraper doesn't do yet? We ship features fast.

• Feature requests go straight to our backlog
• Enterprise needs? We do custom integrations and high-volume plans
• Pricing questions? Check the Monetization tab on the actor page

Response time: usually under 24 hours.

Legal compliance

This Actor extracts publicly available data from che168.com. It does not bypass any login, paywall or CAPTCHA, and it reads only what che168 shows to every visitor. Users are responsible for complying with che168's terms of service and applicable data protection laws (GDPR, CCPA, and PIPL where relevant). Listings are published by dealers and private sellers; when a seller's text contains personal data such as a name or an address, handle it accordingly. The data returned is informational; verify it with the seller before any purchase.

Che168 Scraper by SilentFlow: China's used-car market, one clean row per car.