Temu Category Trend Report

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Daily Temu category intelligence for brands, retailers, and agencies competing in the US market. Track which products are gaining momentum, how category pricing is shifting, and where new competition is entering — updated every day.

Who Uses This

Brands and retailers selling in categories where Temu competes You sell on Amazon, your own site, or wholesale — and Temu operates in your category. You need to know when a new product is gaining traction on Temu, whether it's priced below your floor, and how fast it's climbing.

Concrete example: you sell home cleaning tools on Amazon. A competing product appears in Temu's top 100 at $2.99 and climbs 30 ranks in a week. You see it in hot_picks with rank_7d_delta: -30 before it starts showing up in your Amazon BSR. That's your window to respond — reprice, run a promotion, or flag it for your sourcing team.

Agencies providing market intelligence to retail and brand clients Schedule a daily run per category, pull market_signal + hot_picks into your reporting pipeline, and generate client-ready output automatically. A 5-category daily monitor runs at a fraction of your retainer.

In-house e-commerce and category management teams Pipe the data into your dashboard or Slack via Zapier or Make. When market_signal shifts to "Hot" in a category you own, alert the team. When a new product appears in hot_picks with appearances_7d >= 5, add it to the review queue.

Supported Categories

More categories added regularly.

Input

{
"category_id":"36",
"region":"US"
}

Output

Each run delivers two outputs.

Dataset — 100 product rows, one per product in today's top 100 ranked by sales volume. Key fields per row:

Key-Value Store: REPORT_SUMMARY — category-level summary for the day:

Momentum Status

Backtested over 6 days across 18 categories: 68.7% of Breakout products were still in the top 100 six days later.

How to Read the Data

Start with REPORT_SUMMARY

market_signal ="Hot" → Strong growth (≥75% Breakout+Rising) — act now
market_signal ="Warm" → Moderate growth (≥50% Breakout+Rising)
market_signal ="Cooling" → Category losing momentum (>40% Declining+Fading)
market_signal ="Neutral" → Mixed signals, check individual products

Check data_reliability.signal_confidence before acting. Each run computes this from that day's actual data:

"data_reliability":{
"signal_confidence":"High",
"churn_level":"Low",
"tracking_coverage":0.93,
"stable_product_ratio":0.76,
"note":"Momentum signals are reliable. Breakout and Rising products can be acted on directly."
}

Find what's moving

Filter hot_picks or the Dataset:

momentum_status ="Breakout" → Strongest signal. Rank climbing + sales up.
momentum_status ="Rising"
+ rank_7d_delta <-20 → Rising fast
+ appearances_7d >=5 → Consistent presence, not a one-day spike
momentum_status ="Fading" or "Declining" → Losing ground. Exiting the competitive set.

Track pricing pressure

price_trend_7d in REPORT_SUMMARY shows 7 days of category average pricing. A falling avg_price alongside rising Breakout counts is the earliest signal of margin compression in your category.

API Integration Example

Scheduled daily run

from apify_client import ApifyClient
client = ApifyClient('YOUR_API_TOKEN')
run = client.actor('YOUR_ACTOR_ID').call(run_input={
'category_id':'36',
'region':'US',
})
# Category-level signal
record = client.key_value_store(run['defaultKeyValueStoreId']).get_record('REPORT_SUMMARY')
summary = record['value']
print(f"Market signal: {summary['summary']['market_signal']}")
print(f"Signal confidence: {summary['data_reliability']['signal_confidence']}")
# Hot picks — highest-momentum products today
for p in summary['hot_picks']:
print(f" [{p['rank']}] {p['title']} — {p['price_str']} (rank moved {p['rank_7d_delta']})")

Filter and store product rows

const{ ApifyClient }=require('apify-client');
const client =newApifyClient({token:'YOUR_API_TOKEN'});
const run =await client.actor('YOUR_ACTOR_ID').call({category_id:'36',region:'US'});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();
// Breakout products — flag for competitive review
const breakouts = items.filter(p=> p.momentum_status ==='Breakout');
// Price movers — products cheaper than category average and climbing
const pricePressure = items.filter(p=>
 p.price_vs_top100_avg <80&& p.rank_7d_delta <-10
);

Data Notes

• US market only
• Top 100 ranked by sales volume at time of daily collection
• sales_7d_delta is often 0 due to Temu's bucketed display ("100K+"). Use rank_7d_delta as the primary trend signal
• disappeared_today counts cumulative exits over the 7-day window — can exceed 100
• appearances_7d and days_in_category are capped at 7. During the first 6 days of tracking a new category, Fading counts appear inflated — this normalizes automatically after day 7

You Might Also Need

Temu Products Scraper — Search Temu by keyword and get detailed product data including pricing, reviews, and seller info. Where this actor tracks category-wide momentum over time, the Products Scraper lets you target specific products or keywords directly.

Use both together: spot a Breakout product in this actor's hot_picks, then run the Products Scraper on that product's title to find similar listings and pricing across Temu.