🚗 Autohome Koubei Scraper: 汽车之家口碑车主评价

Chinese owner sentiment, now paired with China's biggest used-car listing feed. Autohome koubei owner reviews sit alongside che168 dealer listings and phone leads, giving you both sides of the Chinese car market in one product line.
CHINA CAR INTELLIGENCE   •  Owner review sentiment and dealer listing data from China's two biggest Autohome-run car sites
Autohome Koubei ➤ You are here	che168 Listings Used-car dealer inventory and phone leads

Get Autohome owner reviews, star ratings, and reliability data ready for your spreadsheet in minutes. Pull every 口碑 (koubei) owner review for any car series on 汽车之家 Autohome, China's largest auto platform. Category ratings, pros and cons, purchase price, and quality scores, no login required.

📚 Full review history Every review for a model, not just a recent sample, so your dataset is not biased toward last week

⭐ Real category ratings Space, handling, fuel economy or EV range, comfort, value, and more, scored by the owner who wrote the review

🔧 Built-in reliability data Series-wide average score and problems-per-hundred quality data, pulled alongside the reviews

🔁 Built for monitoring Turn on "only new reviews" and schedule it. Popular models get new reviews nearly every day

Autohome koubei (口碑) is where Chinese car owners rate and review their vehicles after living with them, covering space, handling, fuel economy, comfort, value, and more. This actor extracts that data for any car series on k.autohome.com.cn, structured and ready to analyze. Run it on demand or schedule it through Apify for a recurring feed of new owner reviews.

🔍 What does Autohome Koubei Scraper do?

This actor collects owner reviews from Autohome's koubei channel. Give it a link to one real owner review and it fetches that review in full, then automatically follows the page's own "more owners of this model" links to pull in more reviews for the same car, so you don't have to hunt down dozens of links by hand. For each review you get the reviewer's category star ratings, full pros-and-cons text, purchase price and date, dealer, mileage, and photos.

Give it a series ID (or a model URL) and it also pulls a model-wide summary: the average score, problems-per-hundred quality data, historical and current-generation review counts, and the most common owner-reported praise and complaints, so you can benchmark one model against another without opening a single page yourself.

Runs finish in seconds because there is no login wall to fight through and nothing heavy running behind the scenes. Schedule the actor on Apify, export straight to your spreadsheet or database, and let new reviews flow in automatically as owners post them.

💡 Why use Autohome Koubei Scraper?

• You are a market researcher. Track sentiment and reliability by model across China's car market. Get every category rating and full pros-and-cons text for a series, not a curated sample.
• You are an insurance or finance underwriter. Pull problems-per-hundred quality data and category scores straight from real owner reports before you price a policy or a loan.
• You are a cross-border car exporter or importer. Read what real owners paid, where they bought, and what broke, before you commit to sourcing a model from China.
• You are an OEM or parts-supplier analyst. Benchmark a competitor's model against yours with category-by-category owner scores and the exact complaints piling up in the reviews.

🚀 How to use it

STEP 1 Paste a review link and/or a series ID A review link gets you individual reviews for that model; a series ID (or model URL) gets you the model-wide summary.

STEP 2 Set your scope Choose how many reviews you need, or turn on "only new reviews" for ongoing monitoring.

STEP 3 Get structured data Download ratings, pros and cons, purchase details, and reliability scores as JSON, CSV, or Excel.

1. Open the actor in the Apify Store and click "Try for free".
2. Paste a review link. Browse a model's koubei page on k.autohome.com.cn, open any review, and paste its URL into reviewUrls. This is what gets you individual review rows — the actor expands outward from it to find more reviews for the same model.
3. Add a series ID (optional). Paste a series ID (e.g. 4881) or a full model URL into seriesIds for a model-wide summary row. This works on its own, without a review link.
4. Set your limits. Choose a max number of reviews, and optionally a start date or "only new reviews" mode.
5. Click Start. Reviews and the model summary land in your dataset within seconds.
6. Download your dataset in JSON, CSV, or Excel. Or connect it straight to Google Sheets, BigQuery, or your CRM.

📥 Input

Field	Type	Required	Description
reviewUrls	array of strings	See note	One or more Autohome koubei review links, e.g. "https://k.autohome.com.cn/detail/view_01jmxtga696mtkadsj6gw00000.html". Required to get individual review rows — a series ID alone cannot list a model's reviews (see FAQ).
expandRelatedReviews	boolean	No	Follow each review's "more owners of this model" links to discover additional reviews. Default on.
seriesIds	array of strings	See note	One or more Autohome series IDs or model URLs, e.g. "4881" or "https://k.autohome.com.cn/4881/". Produces the model-summary row. At least one of reviewUrls/seriesIds is required.
includeSeriesSummary	boolean	No	Add one row per series ID with the model's average score, review counts, quality data, and top owner-reported praise/complaints. Default on.
maxReviews	integer	No	Maximum total review rows to collect. Default 50.
maxCrawlDepth	integer	No	How many hops of related-review links to follow outward from each review URL. Default 2.
since	date	No	Only include reviews posted on or after this date.
onlyNewReviews	boolean	No	Only return reviews the actor has not returned before. Built for scheduled, recurring runs. Default off.
proxyConfiguration	object	No	Proxy settings. The default works out of the box, no special proxy is required for this target.

📤 Output

Each row is one owner review, or one series summary row when that option is on. Here is what a real review looks like:

{
  "rowType": "review",
  "koubeiId": 5557248,
  "showId": "01jmxtga696mtkadsj6gw00000",
  "reviewUrl": "https://k.autohome.com.cn/detail/view_01jmxtga696mtkadsj6gw00000.html",
  "seriesId": 4881,
  "seriesName": "蔚来ES6",
  "brandName": "蔚来",
  "specId": 66802,
  "specName": "2024款 75kWh",
  "modelYear": 2024,
  "reviewTitle": "我和ES6的330天27000公里",
  "username": "南京车友9724546",
  "userId": 236290391,
  "ownerLevel": 2,
  "postedAt": "2025-02-25",
  "satisfiedText": "作为蔚来车主，最让我满意的就是换电服务，体验堪称惊艳...",
  "unsatisfiedText": "一到夏天，气温升高，车内就开始出现各种奇怪的声音...",
  "dealerName": "蔚来体验中心丨南京九龙湖",
  "purchasePrice": "26.00万",
  "purchaseDate": "2024-03",
  "purchaseCity": "南京",
  "mileageAtReview": "27000km",
  "ratingSpace": 5,
  "ratingDrivingFeel": 5,
  "ratingRange": 4,
  "ratingExterior": 5,
  "ratingInterior": 5,
  "ratingValueForMoney": 5,
  "ratingIntelligence": 5,
  "scrapedAt": "2026-09-22T15:25:14.993Z"
}

You can download the dataset in JSON, CSV, HTML, or Excel. Every field shown above is real data pulled during testing, no placeholder values.

📊 Data table

Field	Type	Description
rowType	text	review for an individual owner review, series_summary for the model-level aggregate row.
reviewUrl	text	Link to the original review on k.autohome.com.cn.
seriesName / brandName	text	Car model and brand, in Chinese.
specName	text	Trim level.
modelYear	number	Model year.
reviewTitle	text	The reviewer's own headline for their review.
username / ownerLevel	text / number	Reviewer handle and owner tier.
postedAt	text	Date the review was posted.
satisfiedText / unsatisfiedText	text	The owner's own pros and cons, in their words.
purchasePrice / purchaseDate / purchaseCity	text	What the owner paid, when, and where.
dealerName / mileageAtReview	text	Dealer, and mileage at time of review.
extraInfo	array	Every self-reported figure on the review (mileage, purchase price/date/city, and fuel or seasonal EV consumption/range, whichever apply to that car).
ratingSpace, ratingHandling, ratingFuelEconomy or ratingRange, ratingExterior, ratingInterior, ratingComfort, ratingValueForMoney, ratingPower, ratingConfig, ratingIntelligence	number	Category star ratings, only the categories that reviewer actually scored.
photoUrls	array	Photos the owner attached to the review.
averageScore / totalReviewCount / onSaleReviewCount / newCarPPH	number	Model summary rows only: average score, total reviews on record, reviews from the current generation, and problems-per-hundred quality data.
topPositivePhrases / topNegativePhrases	array	Model summary rows only: the most common owner-reported praise and complaints, each with how many owners mentioned it.
scrapedAt	text	ISO timestamp of when the row was extracted.

💰 Pricing

Pricing is pay per event, and empty runs cost nothing. You only pay for the reviews and summary rows the actor actually returns. There are no fixed monthly subscriptions or hidden fees.

⭐ Enjoying Autohome Koubei Scraper?

⭐ ⭐ ⭐ ⭐ ⭐ If this actor got you clean owner-review data without a single manual page visit, it did its job. A 5-star rating takes 10 seconds and helps other researchers and analysts find it. Your feedback also tells us what to build next.

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🛠️ Tips and advanced options

• Only need the model-wide numbers? Leave reviewUrls empty and just fill in seriesIds — you'll get the summary row without spending any run time on individual reviews.
• Want a big batch of individual reviews for one model? Start from one review link and raise maxCrawlDepth — the actor keeps following "more owners of this model" links outward until it hits maxReviews or runs out of related reviews to follow.
• Combine onlyNewReviews with an Apify Schedule for a recurring feed of new owner reviews on the models you track.
• Start with a low maxReviews (10 to 20) on your first run to preview the data before scaling up.
• Turn off includeSeriesSummary if you only want individual reviews. It trims one row per series ID from your run.

❓ FAQ

如何抓取汽车之家口碑数据？(How do I scrape Autohome koubei data?)

Paste a real review link from k.autohome.com.cn into reviewUrls (and optionally a series ID into seriesIds for the model summary), then run it. No login, no account, and no manual page-by-page collection needed.

Why does this actor need a review link instead of just a series ID?

Autohome's own model pages don't list their individual reviews anywhere a public visitor (or a compliant scraper) can read them directly — the review list itself only loads inside a logged-in browser session. Paste one real review link you've found on the site, and the actor follows that page's own "more owners of this model" links outward to discover further reviews for the same car, entirely through pages Autohome serves openly. A series ID on its own still gets you the model-wide summary (average score, quality data, common praise and complaints) with no review link required.

Do I need to log in or provide an account to scrape Autohome koubei data?

No. Every field this actor extracts is read from pages Autohome serves publicly, without an account.

Does this cover 汽车之家 used-car listings too?

No. This actor is for koubei (口碑) owner reviews only: ratings, pros and cons, and ownership details. For used-car dealer listings and pricing from che168.com, see our separate che168 Autohome Used Car Scraper.

How fresh is the review data?

Data is pulled live on every run, direct from Autohome. Popular models get new owner reviews often, which is why this actor supports a scheduled "only new reviews" mode.

Are all rating categories always present?

No, and that is by design. Autohome shows different categories for different vehicle types, for example electric models get a range rating instead of a fuel economy rating, and some reviews include a smart-cockpit "intelligence" rating. This actor only returns the categories a given review actually has, never a fabricated placeholder value.

Does every related review belong to the same model?

Yes. The "more owners of this model" links this actor follows come from Autohome's own same-model widget on each review page, so expansion never wanders into a different car.

⚠️ Disclaimers and support

• Disclaimer: This actor is not affiliated with Autohome, 汽车之家, or any of their subsidiaries. The data is publicly available on the website. Make sure your usage complies with Autohome's terms of service and applicable laws.
• Support: Open an issue from the Issues tab for bug reports or feature requests. Custom enterprise solutions are also available.

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