We extract cross-border product listings, flash sale pricing, supplier intelligence, and review streams from Temu. 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 temu.com. All fields typed and schema-versioned.
"goods_id": "TM849201", "title": "Educational Building Blocks Set 120pcs", "price": 12.49, "discount_pct": 45, "sales_volume": "100k+ sold", "rating": 4.7, "review_count": 8492, "supplier_name": "Shenzhen Toys Co"
| # | goods_id | title | category_tree | price | retail_price | discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Flash Sales objects from temu.com. All fields typed and schema-versioned.
"goods_id": "TM849201", "current_price": 12.49, "flash_sale_active": true, "flash_sale_price": 9.99, "flash_sale_end_time": "2026-05-12T14:00:00Z", "currency": "USD", "minimum_order_qty": 1
| # | goods_id | current_price | original_price | flash_sale_active | flash_sale_price | flash_sale_end_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from temu.com. All fields typed and schema-versioned.
"review_id": "RVW928374", "goods_id": "TM849201", "star_rating": 5, "review_text": "Great quality for the price, shipping took 8 days.", "review_date": "2026-04-18", "helpful_votes": 42, "variant_reviewed": "120pcs multicolour"
| # | review_id | goods_id | reviewer_name | star_rating | review_text | review_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Supplier Intelligence objects from temu.com. All fields typed and schema-versioned.
"supplier_id": "SUP4829", "supplier_name": "Shenzhen Toys Co", "follower_count": 14500, "total_sales": "500k+", "average_rating": 4.8, "items_listed": 342, "joined_date": "2023-01-15"
| # | supplier_id | supplier_name | store_url | follower_count | total_sales | average_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Temu scraper handles the dynamic cross-border marketplace: flash sales, infinite scroll categories, supplier profiles, and complex variant pricing — with JavaScript rendering and anti-bot circumvention built in.
Title, specifications, variations, images, and category taxonomy — scraped at the goods_id level with parent-child variant mapping.
Capture dynamic pricing, retail price comparisons, lightning deals, and countdown timers — timestamped per crawl.
Extract '100k+ sold' metrics and recent purchase indicators to model demand and track product velocity over time.
Store follower counts, total sales volume, average ratings, and business licence entity data for supply chain analysis.
Full review text, star ratings, helpful vote counts, variant reviewed, and user country — paginated across all review pages.
Extract delivery windows, shipping carrier estimates, and free shipping thresholds based on target geolocation.
Navigate infinite scroll SERP results, extract keyword ranks, and map entire category trees automatically.
Brief in. Clean data out.
Provide category URLs, keyword sets, or store IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for temu.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.
Temu employs aggressive bot mitigation and heavily dynamic frontends. Here's how we stay resilient — and why teams choose managed infrastructure over DIY.
Temu's bot detection operates on TLS fingerprints, browser headers, and IP reputation. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management — trained on real user behaviour patterns.
Temu product pages, seller storefronts, and search results are heavily JavaScript-rendered. We run full Playwright browser sessions with JavaScript execution, lazy-load triggering, and dynamic price widget hydration — capturing data that headless HTTP clients miss entirely.
Flash sales dictate Temu's pricing model. We deploy micro-batching schedules to capture lightning deals before countdowns expire, ensuring your pricing intelligence reflects actual transaction values rather than stale retail list prices.
For large catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs — reducing compute cost, storage bloat, and downstream processing load. You get a clean changelog rather than full re-dumps.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops — and respond before you notice. SLA uptime is contractual, not aspirational.
eCommerce brands monitor cross-border pricing strategies and flash sale cadences to adjust their own promotional calendars.
Procurement teams identify high-volume manufacturers and track store performance metrics to source new direct-from-factory suppliers.
Analysts track '100k+ sold' badges, review velocity, and category saturation to identify viral products and consumer demand shifts.
Retailers analyse Temu's discount depth, coupon stacking mechanics, and shipping thresholds to benchmark against domestic offerings.
ML teams use Temu's vast product imagery and multilingual descriptions to train vision models and categorisation algorithms.
Brands audit listings for trademark infringement, design patent violations, and unauthorised use of copyrighted marketing assets.
"Temu's aggressive pricing and flash-sale mechanics represent a tectonic shift in cross-border eCommerce — but the data is locked behind complex frontends."
Most teams underestimate the investment required: reliable Temu scraping requires residential proxies, full JavaScript rendering for infinite scrolls, CAPTCHA handling, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on analysis — not infrastructure.
Everything supported by our temu.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across target regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About temu.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Temu is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls. Clients should review Temu's ToS and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for CAPTCHA rate spikes in real time and trigger solver queues automatically.
Real-time streaming pipelines achieve sub-60-minute latency for flash sale pricing on a defined SKU set. Full category refreshes complete within a 6-12 hour window depending on depth.
Yes. We capture the '100k+ sold' strings and recent purchase notifications exposed on the product page, parsing them into structured integer estimates where possible.
Our smallest packages start at a defined category or keyword list with weekly delivery. For full-catalogue extraction, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
Absolutely. We provide a sample run of up to 500 items or 50 search result pages as part of the pre-engagement scoping process — so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off product catalogue dump or a continuous price-monitoring feed — we scope, build, and operate the pipeline. Tell us what you need.
