Temu Category Trend Report

Daily trend intelligence for Temu's top-selling categories. Identify Breakout products before they peak, track price movements, and spot what's actually selling — updated every day.

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What You Get

Each run delivers two outputs for a selected Temu category:

• Dataset (200 rows) — One row per product currently ranked in the top 200
• Key-Value Store: REPORT_SUMMARY — Category-level summary, 7-day price trend, and curated Hot Picks list

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Why This Actor

Temu moves fast. Products rocket from obscurity to top 10 in 48 hours, then disappear. By the time you notice a hot item manually, the margin window is already closing.

This actor gives you:

• Breakout detection — Products with rank climbing >5 positions AND sales up >200 units in 7 days
• 7-day momentum scores — Not just today's snapshot, but the trajectory
• Price trend history — Category avg price over 8 days, so you see where pricing is heading
• Hot Picks list — Pre-filtered shortlist of the highest-momentum products (up to 50)
• Market signal — One-word category health: Hot / Warm / Neutral / Cooling

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Supported Categories

Category ID	Category Name
36	Home & Kitchen
28	Women's Clothing
589	Women's Curve Clothing
95	Women's Shoes
1107	Women's Lingerie & Lounge
67	Men's Clothing
1536	Men's Shoes
1232	Men's Big & Tall
114	Men's Underwear & Sleepwear
178	Sports & Outdoors
352	Jewelry Accessories
25	Beauty & Health
204	Toys & Games
580	Automotive
218	Kids Fashion
1553	Kids Shoes

More categories added regularly.

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Input

{
  "category_id": 1107,
  "region": "US"
}

Field	Type	Required	Default	Description
category_id	integer	Yes	—	Category ID from the table above
region	string	No	"US"	Market region. Currently US only

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Output

Dataset — Product Rows

200 rows, one per product ranked in the category today.

{
  "goods_id": "601099555477841",
  "title": "Women's Sexy Satin Lace Camisole and Panty Set...",
  "price": 6.03,
  "price_str": "$6.03",
  "original_price": 31.30,
  "discount_rate": 81,
  "sales_volume": 100000,
  "sales_tip_text": "100K+",
  "rating": 4.8,
  "review_count": 1803,
  "rank": 1,
  "rank_percentile": 0.5,
  "momentum_status": "Rising",
  "rank_7d_delta": -3,
  "sales_7d_delta": 0,
  "price_7d_delta": 0.0,
  "price_7d_min": 6.03,
  "price_7d_max": 6.03,
  "review_count_7d_delta": 16,
  "rating_7d_delta": 0.0,
  "appearances_7d": 6,
  "days_in_category": 9,
  "price_vs_top200_avg": 85.9,
  "first_seen_at": "20260429",
  "last_seen_at": "20260507",
  "is_on_sale": false,
  "is_low_stock": false,
  "is_new_product": false,
  "sale_ends_at": null,
  "has_video": true,
  "thumb_url": "https://img.kwcdn.com/product/fancy/...",
  "goods_url": "https://www.temu.com/goods.html?goods_id=601099555477841",
  "category_name": "Women's Lingerie & Lounge",
  "category_id": 1107,
  "region": "US",
  "collected_at": "20260507"
}

Product Field Reference

Field	Type	Description
goods_id	string	Temu product ID
title	string	Product title
price	float	Current price (USD)
price_str	string	Formatted price string, e.g. "$6.03"
original_price	float	List price before discount (USD)
discount_rate	integer	Discount percentage, e.g. 81 = 81% off
sales_volume	integer	Cumulative units sold (normalized, e.g. "94K+" → 94000)
sales_tip_text	string	Original sales label from Temu, e.g. "100K+"
rating	float	Product rating (0–5)
review_count	integer	Total number of reviews
rank	integer	Today's rank in the category (1 = best)
rank_percentile	float	Rank as top-N%, e.g. 0.5 = top 0.5%
momentum_status	string	See Momentum Status table below
rank_7d_delta	integer	Rank change over 7 days. Negative = climbed (good). e.g. -53 = moved up 53 spots
sales_7d_delta	integer	Units sold increase over 7 days. May show 0 even for active products because Temu displays sales in rounded buckets (e.g. "100K+"), so the value only changes when the bucket threshold is crossed
price_7d_delta	float	Price change over 7 days (USD). Positive = price increase
price_7d_min	float	Lowest price in the past 7 days (USD)
price_7d_max	float	Highest price in the past 7 days (USD)
review_count_7d_delta	integer	New reviews added in the past 7 days
rating_7d_delta	float	Rating change over 7 days
appearances_7d	integer	Number of days this product appeared in the top 200 over the past 7 collection days (max 7). A value of 7 = consistently present. A value of 1–3 = unstable, may exit soon (Fading)
days_in_category	integer	Days elapsed since first_seen_at, capped at 7. Reflects how long this product has been tracked within this category's top 200 over the 7-day window, not its age on Temu overall
price_vs_top200_avg	float	This product's price as % of the category average. e.g. 85.9 = 14% cheaper than avg
first_seen_at	string	Date first collected in this category (YYYYMMDD)
last_seen_at	string	Most recent collection date (YYYYMMDD)
collected_at	string	Date this row was collected (YYYYMMDD)
is_on_sale	boolean	Whether a time-limited sale is active
is_low_stock	boolean	Whether the low-stock badge is shown
is_new_product	boolean	Whether Temu's "new product" tag is shown
sale_ends_at	string	Sale end time in ISO 8601 UTC format (e.g. "2026-05-19T06:59:59Z"). Empty string if is_on_sale is false
has_video	boolean	Whether the product has a video
thumb_url	string	Thumbnail image URL
goods_url	string	Clean product page URL (all tracking parameters removed)
category_name	string	Human-readable category name
category_id	integer	Category ID
region	string	Region code, e.g. "US"

Momentum Status

Value	Meaning
New	First seen in this category today
Breakout	Rank climbed >5 spots AND sales up >200 units in 7 days — strongest buy signal
Rising	Rank improving or sales growing steadily
Stable	No significant movement in either direction
Declining	Rank dropping or price rising
Fading	Seen in top 200 on 3 or fewer of the last 7 days — at risk of exiting

Priority order when multiple conditions apply: New > Breakout > Rising > Fading > Declining > Stable

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Key-Value Store — REPORT_SUMMARY

Retrieve via the Apify API using the run's defaultKeyValueStoreId:

GET /v2/key-value-stores/{kvStoreId}/records/REPORT_SUMMARY

{
  "meta": {
    "category_id": 1107,
    "category_name": "Women's Lingerie & Lounge",
    "region": "US",
    "collected_at": "20260507",
    "generated_at": "2026-05-07T01:05:16Z",
    "data_freshness_hours": 1
  },
  "summary": {
    "total_products": 200,
    "avg_price": 7.02,
    "avg_discount_rate": 58.0,
    "avg_rating": 4.75,
    "new_entries_today": 7,
    "disappeared_today": 275,
    "on_sale_count": 96,
    "has_video_count": 149,
    "momentum_distribution": {
      "New": 7,
      "Breakout": 23,
      "Rising": 123,
      "Stable": 4,
      "Declining": 25,
      "Fading": 18
    },
    "market_signal": "Warm"
  },
  "price_trend_7d": [
    {
      "date": "20260429",
      "avg_price": 5.95,
      "avg_discount_rate": 59.7,
      "total_collected": 200,
      "new_entries": 200,
      "disappeared": 0,
      "momentum_distribution": { "New": 200 }
    }
  ],
  "hot_picks": [
    {
      "goods_id": "601099584094697",
      "rank": 14,
      "momentum_status": "Rising",
      "rank_7d_delta": -28,
      "price": 5.70
    }
  ]
}

REPORT_SUMMARY Field Reference

Field	Type	Description
meta.collected_at	string	Date the underlying data was collected (YYYYMMDD)
meta.generated_at	string	ISO 8601 timestamp when the report file was generated
meta.data_freshness_hours	integer	Hours elapsed since data was generated at time of this run
summary.market_signal	string	Hot (≥75% Breakout+Rising), Warm (≥50%), Cooling (>40% Declining+Fading), Neutral
summary.new_entries_today	integer	Number of products appearing in today's top 200 for the first time (i.e. not seen in any previous collection within the 7-day window)
summary.disappeared_today	integer	Total number of products that were tracked at any point in the 7-day window but are absent from today's top 200. This value can exceed 200 because it counts cumulative exits across all days, not just yesterday's departures. A high value indicates aggressive product churn in this category
summary.on_sale_count	integer	Number of products currently running a time-limited sale
summary.has_video_count	integer	Number of products with a video
summary.momentum_distribution	object	Count of products per momentum status
price_trend_7d	array	8-day daily history of category avg price, avg discount rate, and momentum distribution. Each entry also includes new_entries (products first seen that day) and disappeared (cumulative products no longer in top 200 as of that day)
hot_picks	array	Up to 50 highest-momentum products (all Breakout + top 20 Rising by rank delta), sorted by rank. Same fields as Dataset rows

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Use Cases

E-commerce sellers & resellers Filter momentum_status = "Breakout" to find products gaining traction before they peak. Use price_vs_top200_avg to find pricing gaps.

Amazon / Shopify merchants Track which categories are heating up (market_signal = "Hot") to guide sourcing before demand hits your platform.

Market researchers Use price_trend_7d to analyze category pricing cycles. Track disappeared_today as a churn indicator — values consistently above 200 mean extremely high product turnover and aggressive competition in that category.

Dropshippers hot_picks gives you a ready-made shortlist of the highest-momentum products updated daily — no manual filtering needed.

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Data Freshness

Data is collected once per day. meta.data_freshness_hours tells you exactly how old the data is at run time. Each run always returns the most recent available snapshot.

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API Integration Example

const { ApifyClient } = require('apify-client');
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('YOUR_ACTOR_ID').call({
  category_id: 1107,
  region: 'US',
  date: 'latest',
});

// Product rows — filter to Breakout items only
const { items } = await client.dataset(run.defaultDatasetId).listItems();
const breakouts = items.filter(p => p.momentum_status === 'Breakout');

// Summary, price trend, hot picks
const record = await client
  .keyValueStore(run.defaultKeyValueStoreId)
  .getRecord('REPORT_SUMMARY');

console.log('Market signal:', record.value.summary.market_signal);
console.log('Hot picks count:', record.value.hot_picks.length);

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Notes

• Data covers the US market only at this time
• Top 200 is determined by sales volume ranking within the category at time of daily collection
• sales_volume values like "94K+" are normalized to integers (94000)
• goods_url has all tracking parameters stripped — only goods_id is retained
• Historical snapshots are available for dates since data collection began for each category