The definitive Google Trends automation engine with over 10,600+ successful runs. Extract breakout queries, historical interest curves, regional heatmaps, and real-time trending searches without IP bans.
{
"id": "645a340a000000001500e209",
"noteId": "645a13770000000014027734",
"noteUrl": "https://www.xiaohongshu.com/explore/645a13770000000014027734",
"content": "鞋子跟样貌一样吸睛[飞吻R][飞吻R][飞吻R]",
"likeCount": 18,
"subCommentCount": 1,
"isSubComment": false,
"targetCommentId": "",
"parentCommentId": "",
"ipLocation": "马来西亚",
"createTime": 1683633162000,
"createdAt": "2023-05-09T11:52:42Z",
"author": {
"id": "628748700000000021022fa0",
"nickname": "双鱼座老女孩",
"avatar": "https://sns-avatar-qc.xhscdn.com/avatar/634e99245e86e230b011a111.jpg",
"profileUrl": "https://www.xiaohongshu.com/user/profile/628748700000000021022fa0",
"ipLocation": "马来西亚"
}
}
Built specifically for high-throughput enterprise pipelines with zero credential leakage.
Real-time trends, interest over time (historical), interest by region (sub-regions & cities), related queries, and related topics.
Captures surging search queries marked as Breakout (+5000% growth) before they reach peak mainstream saturation.
Output is automatically normalized into clean rectangular rows, ready for immediate import into Excel, BigQuery, or Power BI.
Built-in residential proxy rotation with zero compute time billing. Only pay for successful events extracted.
Trigger extractions via the official Apify Client or standard REST endpoints.
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"startUrls": [
{
"url": "https://www.xiaohongshu.com/explore/64256e08000000001300575e?xsec_token=ABivcR3TWdHqjbjX2xyNQkAS3_CZsrXHUX9r1tNqo4148=&xsec_source=pc_feed"
}
],
"maxCommentsPerNote": 50,
"maxSubCommentsPerComment": 10,
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "HK"
}
}
run = client.actor("unitbytes/xiaohongshu-rednote-comments-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item.get("noteUrl"), item.get("noteId"), item.get("content"))Libraries like pytrends are severely rate-limited by Google (HTTP 429) within minutes. UnitBytes manages residential proxy rotation and request orchestration to guarantee 99.9% uptime at scale.
Yes. Pass up to 5 comparison terms simultaneously to receive normalized relative search volume curves across all queries.
All official Google timeframes: past hour, past 4 hours, past day, past 7 days, past 30 days, past 90 days, past 12 months, past 5 years, or full history from 2004 to present.
Queries experiencing exponential growth (+5000% increase) are explicitly tagged with Breakout for instant alert triggers.
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Our data engineering team provides private cluster deployments, custom webhook integrations, continuous schema monitoring, and high-frequency delivery directly to BigQuery, Snowflake, or AWS S3.
Start running immediately on UnitBytes Cloud with zero infrastructure setup, or contact our engineering team for dedicated S3/BigQuery delivery pipelines.