We extract product listings, group-buy and individual pricing, sales volume signals, merchant intelligence, category rankings, and consumer reviews from Pinduoduo. 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 Product Listings objects from pinduoduo.com. All fields typed and schema-versioned.
"item_id": "PDD-738291048", "title": "华为 FreeBuds Pro 3 无线耳机", "individual_price": 899.00, "group_price": 799.00, "currency": "CNY", "sales_volume_30d": 24810, "rating": 4.8, "review_count": 98412, "is_agricultural": false
| # | item_id | title | brand | category | sub_category | individual_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Group-Buy Pricing objects from pinduoduo.com. All fields typed and schema-versioned.
"item_id": "PDD-738291048", "individual_price": 899.00, "group_price": 799.00, "group_size_required": 2, "group_price_discount_pct": 11, "flash_sale_price": 749.00, "flash_sale_end": "2026-05-12T23:59:00Z", "coupon_amount": 50.00
| # | item_id | individual_price | group_price | group_size_required | group_price_discount_pct | flash_sale_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Merchant Profiles objects from pinduoduo.com. All fields typed and schema-versioned.
"merchant_id": "PDD-MERCH-40293", "shop_name": "华为官方旗舰店", "merchant_rating": 4.92, "service_score": 4.9, "logistics_score": 4.88, "verified_merchant": true, "total_items": 842, "shop_age_days": 1420
| # | merchant_id | merchant_name | shop_name | merchant_rating | service_score | logistics_score |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews & Sales Signals objects from pinduoduo.com. All fields typed and schema-versioned.
"review_id": "PDD-R-9482019", "item_id": "PDD-738291048", "star_rating": 5, "verified_purchase": true, "has_image": true, "sales_volume_30d": 24810, "repurchase_rate_pct": 34
| # | review_id | item_id | star_rating | review_text | review_date | helpful_votes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Pinduoduo scraper covers the full platform: product data with both individual and group-buy pricing tiers, 30-day sales volume signals, merchant intelligence, flash sale tracking, and category rankings — with full mobile-app context simulation and anti-bot circumvention built in.
Capture both individual and group-buy price tiers per product — along with group size required, discount percentage, and bulk pricing tiers — Pinduoduo's unique social commerce pricing signal unavailable anywhere else.
Extract 30-day sales volume and total cumulative sales figures displayed on product pages — one of the richest public demand proxy signals available in Chinese eCommerce.
Scrape merchant ratings, service/logistics/description-match scores, shop age, total listings, and verified merchant status — mapping Pinduoduo's supply base from consumer brands to direct factory stores.
Monitor flash sale prices, countdown windows, coupon amounts, and promotional stacking structures — timestamped per crawl for comprehensive Chinese promotional calendar intelligence.
Pinduoduo is the world's largest agricultural eCommerce platform. We flag and extract agricultural product listings — including origin region, freshness grade, and farming method — for food supply chain and agri-market research.
Capture product position, recommendation badge, and hot-sale ranking across Pinduoduo category pages and search results — tracking how algorithm placement shifts over time.
Full review corpus with star ratings, review text, image flags, and variant purchased — plus repurchase rate percentage where surfaced — a uniquely strong loyalty signal.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Pinduoduo (PDD Holdings) also operates Temu globally. Our pipelines can be extended to cover Temu under a unified product schema for cross-market price gap analysis.
Brief in. Clean data out.
Provide item ID lists, category paths, keyword sets in Chinese or English, or merchant IDs. We design the extraction schema and field priorities together.
We configure Scrapy / Playwright crawlers with Chinese residential proxies, mobile-context simulation, and CAPTCHA handling tuned for Pinduoduo's detection systems.
Schema validation, group-buy price completeness checks, sales volume field audits, and merchant data sampling before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence — with Chinese field values UTF-8 encoded throughout.
Pinduoduo is built primarily for mobile, uses aggressive bot detection, and serves much of its data through app-context APIs. Here's how we extract reliably at scale.
Pinduoduo is engineered for mobile-first consumption, and much of its data — group-buy pricing, sales volume, flash sale panels — is only fully rendered in a mobile browser context. We run Playwright in mobile viewport mode with Chinese Android device fingerprints and realistic touch-interaction patterns.
Pinduoduo serves geo-specific pricing, promotional offers, and category rankings based on the user's location within China. We use residential ISP proxies from major Chinese cities to receive the same product data a local consumer sees — avoiding the stripped-down content served to foreign IPs.
Pinduoduo's defining feature is the split between individual and group-buy pricing. Both tiers are extracted on every run — along with the minimum group size, discount percentage, and any stacked flash sale or coupon offer — giving you a complete picture of the true consumer price.
Pinduoduo surfaces 30-day sales volume and total sales counts on product pages. These are among the most direct public demand proxy signals available in global eCommerce. We extract and validate these fields on every run — flagging anomalies where counts appear rounded or capped.
Every run emits structured logs to our observability stack. We alert on group-buy price field null-rates, sales volume anomalies, schema drift caused by Pinduoduo A/B tests, and coverage drops — and respond before you notice.
Brands entering or competing in China use Pinduoduo pricing data — both individual and group-buy tiers — to benchmark their positioning against domestic competitors and factory-direct sellers.
Market researchers and product strategists use 30-day sales volume signals as a real-time demand proxy — identifying fast-moving categories and breakout products in the Chinese consumer market.
Food companies, agri-investors, and supply chain teams extract Pinduoduo's agricultural product data — origin region, freshness grade, pricing — to monitor Chinese fresh produce markets.
Companies sourcing from or competing with Temu use Pinduoduo data to identify the factory-direct sellers that supply Temu's global catalogue — understanding the supply base before it reaches Western markets.
ML teams use Pinduoduo product data, images, and review corpora — including Chinese-language text — to train Chinese eCommerce NLP models, product classifiers, and price prediction systems.
PE firms and analysts track Pinduoduo category pricing trends, merchant growth, and sales volume signals to evaluate PDD Holdings and the broader Chinese social commerce sector.
"Pinduoduo hosts over 900 million active users and is the world's largest agricultural eCommerce platform — yet its group-buy pricing, sales volume data, and merchant intelligence remain almost entirely unqueried by Western research teams."
Pinduoduo scraping requires Chinese residential proxies, mobile browser context simulation, UTF-8 pipeline handling throughout, and daily selector maintenance across a platform that A/B tests aggressively. DataFlirt absorbs all of that so your team can focus on the insights from China's most dynamic marketplace.
Everything supported by our pinduoduo.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.
Playwright runs in mobile viewport mode with Chinese Android device fingerprints, touch-interaction patterns, and mobile-specific request headers — matching Pinduoduo's primary consumer context.
We maintain residential ISP proxy pools from major Chinese cities. Rotation happens per-request with sticky sessions where product context requires continuity across pagination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All text delivered as clean UTF-8 throughout.
Data delivered to where your team already works — no new tooling required.
About pinduoduo.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and review data from Pinduoduo is generally permissible under applicable Chinese and international law for non-personal, publicly displayed data. DataFlirt targets only public, non-authenticated data and does not extract personal data or circumvent authentication walls. We recommend clients review Pinduoduo's ToS independently and consult legal counsel — particularly for use cases involving competitive intelligence in Chinese markets.
Yes. Pinduoduo serves substantially different content to foreign IP addresses — stripping out group-buy pricing tiers, sales volume figures, and promotional data visible only to domestic Chinese users. Chinese residential ISP proxies are essential to receive the full dataset as a local consumer sees it.
Yes. Both pricing tiers are extracted on every pipeline run, along with the minimum group size required to trigger group pricing, the discount percentage between tiers, and any stacked flash sale or coupon pricing visible on the page.
All Chinese-language fields — product titles, review text, specifications, merchant names — are delivered as clean UTF-8 throughout the pipeline. CSV output includes a UTF-8 BOM for direct Excel compatibility. We do not transliterate or translate by default, but can add a machine translation layer for English-output use cases.
Yes. 30-day and cumulative sales volume are captured as fields on every run, building a time-series per item from the day your pipeline starts. We validate these fields on each run and flag anomalies where values appear rounded or capped by the platform.
Absolutely. We provide a sample run of up to 500 item IDs across your selected categories as part of the pre-engagement scoping process — including group-buy pricing, sales volume, and merchant fields — so you can validate schema fit before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off Chinese market price export or a continuous group-buy pricing, sales volume, and merchant intelligence feed — we scope, build, and operate the pipeline.
