We extract vehicle trims, dealer pricing, EV specifications, user reviews, and dealership networks from Yiche. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Vehicle Specifications objects from yiche.com. All fields typed and schema-versioned.
"brand": "BYD", "series": "Han", "trim_name": "2024 EV 605km Premium", "msrp": 229800.0, "body_type": "Sedan", "ev_range_cltc": 605, "battery_capacity": "85.4 kWh", "fuel_type": "Electric"
| # | model_id | brand | series | trim_name | msrp | body_type |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Dealer Quotes objects from yiche.com. All fields typed and schema-versioned.
"dealer_id": "D84921", "dealer_name": "Beijing BYD Auto Sales Co.", "city": "Beijing", "msrp": 229800.0, "dealer_price": 219800.0, "discount_amount": 10000.0, "stock_status": "In Stock", "quote_date": "2023-10-24"
| # | quote_id | model_id | dealer_id | dealer_name | city | province |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Owner Reviews objects from yiche.com. All fields typed and schema-versioned.
"review_id": "R993821", "overall_rating": 4.8, "space_rating": 5.0, "fuel_consumption": "14.2 kWh/100km", "purchase_price": 215000.0, "pros_text": "Excellent acceleration and quiet cabin.", "post_date": "2023-09-15"
| # | review_id | model_id | user_id | user_name | purchase_date | purchase_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Dealership Directory objects from yiche.com. All fields typed and schema-versioned.
"dealer_id": "D84921", "dealer_name": "Beijing BYD Auto Sales Co.", "brand_authorized": "['BYD']", "dealer_type": "4S", "city": "Beijing", "address": "No. 45 Chaoyang Road, Chaoyang District", "latitude": 39.9042, "rating": 4.6
| # | dealer_id | dealer_name | brand_authorized | dealer_type | province | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Yiche Hao (News) objects from yiche.com. All fields typed and schema-versioned.
"article_id": "A773920", "author_name": "Auto Observer", "title": "BYD Han 2024 Review: Setting the EV Standard", "publish_date": "2023-10-20T08:30:00Z", "view_count": 145029, "comment_count": 342, "mentioned_models": "['BYD Han']"
| # | article_id | author_id | author_name | title | publish_date | view_count |
|---|---|---|---|---|---|---|
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Our Yiche scraper handles every layer of the platform: vehicle specifications, dynamic dealer pricing, 4S store locations, and the owner review corpus - with location spoofing and anti-bot circumvention built in.
Extract brands, series, models, and specific trim levels with their internal Yiche IDs for accurate relational mapping.
Capture engine metrics, chassis details, interior features, ADAS capabilities, and exact dimensions for every trim.
Track CLTC/WLTC range, battery chemistry, capacity, fast charging times, and motor power outputs for new energy vehicles.
Monitor local dealer quotes across different Chinese provinces, capturing regional discounts and actual transaction prices.
Scrape 4S store locations, authorised brands, contact details, and geographic coordinates across tier 1 to tier 5 cities.
Extract structured user feedback including verified purchase prices, real world fuel/energy consumption, and sub-category ratings.
Maintain time-series data on MSRP changes and dealer discount fluctuations to model vehicle depreciation and market demand.
Scrape professional reviews, industry news, and influencer articles including engagement metrics and mentioned vehicle models.
Capture high resolution exterior, interior, and detail image URLs categorised by colour and trim level.
Extract secondary market listings, mileage, registration dates, and asking prices to calculate residual values.
Brief in. Clean data out.
Provide target brands, vehicle segments, or geographic regions. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and anti-bot evasion for yiche.com.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Yiche restricts access and relies heavily on dynamic pricing modules. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
Yiche restricts access from foreign data centres. We route traffic through premium Chinese residential proxies to ensure uninterrupted access and prevent IP bans.
Dealer quotes and local discounts are loaded dynamically via XHR. We execute full Playwright sessions to trigger location-based pricing requests and capture the rendered JSON payloads.
Automotive specification tables vary wildly between ICE and EV models. Our extraction logic normalises these disparate tables into a unified, predictable schema.
We maintain a hash index of dealer quotes. Subsequent runs only push price changes, reducing compute cost and providing a clean changelog of market movements.
Chinese automotive terms and measurement units are automatically cleaned and normalised before delivery, ensuring immediate compatibility with your data warehouse.
Automotive OEMs monitor local dealer discounts and transaction prices to optimise their own pricing strategies across different provinces.
Analysts track EV specification trends, battery capacities, and range improvements to map the trajectory of the Chinese new energy vehicle market.
Finance and insurance firms correlate new car discounts with used car listing prices to calculate accurate depreciation curves.
Brands map competitor 4S store footprints across tier 3 and tier 4 cities to identify expansion opportunities.
Product teams analyse thousands of owner reviews to identify common complaints regarding software, space, or real-world battery range.
Machine learning teams use structured automotive specifications and professional reviews to train domain-specific automotive language models.
"Yiche holds the most comprehensive pulse on the world's largest automotive market, but extracting that data requires navigating complex regional pricing models and aggressive anti-bot measures."
Most teams fail at scraping Chinese automotive platforms due to strict geo-blocking, dynamic XHR pricing modules, and highly variable specification schemas between ICE and EV models. DataFlirt manages the residential proxy networks and complex normalisation logic so your analysts get clean, queryable vehicle data from day one.
Everything supported by our yiche.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering, dynamic XHR interception, and location spoofing for regional pricing.
We maintain dedicated pools of mainland Chinese residential proxies to bypass geo-blocking and IP reputation filters, ensuring high success rates.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About yiche.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available automotive data is generally permissible for market research and analysis. DataFlirt extracts only public specifications, pricing, and reviews. We do not bypass authentication to access private user data or proprietary dealer backend systems.
Yiche restricts access from non-Chinese IP addresses. We utilise premium residential proxy networks located within mainland China to ensure requests appear as legitimate domestic traffic.
Yes. We configure our crawlers to simulate access from specific cities and provinces, capturing regional dealer discounts and actual on-road price estimates.
Our extraction schema includes conditional logic to normalise fields. Engine displacement and cylinders for ICE vehicles are mapped alongside battery capacity and CLTC range for EVs, ensuring a unified output.
We can configure pipelines to track specific high-volume models daily, while broader catalogue sweeps run weekly. Webhooks can push price changes within minutes of extraction.
Yes. We extract full article text, author metadata, engagement metrics (views, likes, comments), and the specific vehicle models mentioned in the content.
Absolutely. We provide a sample run of up to 500 vehicle trims or 50 dealer listings during the scoping phase, allowing you to validate the schema before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off dump of EV specifications or continuous tracking of dealer discounts across China - we scope, build, and operate the pipeline. Tell us what you need.
