Weibo Comments & Province Scraper 微博评论提取 (No Cookie) avatar

Weibo Comments & Province Scraper 微博评论提取 (No Cookie)

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from $3.80 / 1,000 item scrapeds

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Weibo Comments & Province Scraper 微博评论提取 (No Cookie)

Weibo Comments & Province Scraper 微博评论提取 (No Cookie)

[100% No Cookie / No Login — $4.5/1k] Extract Sina Weibo (微博) comment threads, likes, sentiment scores & commenter IP province geolocation (mapped to English, e.g. 广东 -> Guangdong) by post URL/ID or keyword auto-discovery.

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from $3.80 / 1,000 item scrapeds

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Axon Studio

Axon Studio

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Extract reader comment threads (post_comments), comment like counts, sentiment polarity, and commenter IP province locations (regionEn) from Sina Weibo (新浪微博) — with 100% no login, no cookies, and no VPN required.

Built for Chinese consumer sentiment analysis, regional market-share mapping (province-level geolocation), campaign reception audits, and multi-turn LLM dialogue datasets (n8n, Make, Dify, Claude MCP). Users on the Apify Free plan ($5 monthly credit) can extract up to 1,111 Weibo comments per month for free.


What Can This Weibo Comments Scraper Do? (Features)

Weibo Comments Scraper CapabilityBuilt-In Advantage
Dual-Engine Comment Extraction (post_comments)Queries both PC Ajax (/ajax/statuses/buildComments) and Mobile H5 (/api/comments/show) endpoints automatically so comment threads are never missed.
Smart Keyword Auto-DiscoveryDon't have specific Post IDs? Leave postIds empty and enter any English or Chinese keyword in searchQuery (e.g., Tesla, Luckin, 瑞幸咖啡) to automatically find active posts and harvest their comments!
IP Province Geolocation (regionEn)Automatically translates every commenter's Chinese IP location tag (来自广东, 来自上海) into standardized English province and country names (Guangdong, Shanghai, Beijing, United States).
Built-In Chinese Sentiment AnalysisTags every comment with sentiment (positive / negative / neutral) and sentimentScore (-1.0 to +1.0), accurately handling Chinese negation reversal ("不好看" → negative, "不错" → positive).
Single Post Engagement Refresh (post_details)Switch mode to post_details to quickly inspect the parent post's full text, attitudesCount (likes), commentsCount, and repostsCount.
256 MB RAM Real-Time StreamingStreams comment records into your Dataset in real-time batches of 10 rows on just 256 MB RAM with automatic comment ID deduplication (deltaMode).

How to Scrape Weibo Comments in 3 Easy Steps

  1. Provide Target Posts OR a Keyword — Paste one or more Weibo 16-digit Post IDs, mblogid codes, or URLs into postIds; OR leave postIds empty and type a brand/topic in searchQuery (e.g., Tesla) for automatic post discovery.
  2. Set maxResults — Choose the total number of comment rows to extract (1 to 5,000).
  3. Click "Start" — Export your comment dataset with English province locations and sentiment scores to JSON, CSV, Excel, or Parquet, or connect via API / Claude MCP.

Weibo Comments Scraper Use Cases

Buyer ProfileWeibo Comment & Geolocation Use Case
Brand & Consumer Insights TeamsThe post is the prompt; the replies are the true consumer sentiment. Measure authentic buyer reactions under official product launch posts or KOL reviews
Regional Marketing & Retail AnalystsMap where in China the conversation is happening using regionEn (Guangdong, Zhejiang, Sichuan, Beijing) to guide regional ad spend and store openings
AI / LLM Dialogue & SFT TeamsHarvest authentic colloquial Chinese multi-turn replies and internet slang with like-count quality signals (likesCount)
PR Crisis & Public Opinion DesksTrack real-time public backlash or support in the comment sections of breaking trending posts

Input

All parameters are configured in the Input tab. Below are the main input fields and JSON examples:

Input FieldTypeDescription
postIdsarrayWeibo 16-digit post IDs ("5356654347420790"), mblogid codes ("RnLPYv8ua"), or post URLs. Leave empty [] to auto-discover posts via searchQuery.
searchQuerystringBrand or topic in English or Chinese (e.g., "Tesla", "瑞幸咖啡"), used to auto-discover active comment threads when postIds is empty.
autoLocalizebooleanAutomatically translates English keywords into Simplified Chinese during auto-discovery (default: true).
maxResultsintegerMaximum number of comment records to return (1 to 5,000, default: 100).
sentimentAnalysisbooleanAdds sentiment (positive / negative / neutral) and sentimentScore (-1.0 to +1.0) to each comment (default: true).
deltaModebooleanRemembers scraped commentId values across scheduled runs so you only pay for new replies (default: false).
modestring"post_comments" (default) to extract comments, or "post_details" to extract parent post metrics.

1. Extract Comments from Specific Weibo Post IDs or URLs (JSON)

{
"mode": "post_comments",
"postIds": [
"5356654347420790",
"https://weibo.com/1749127163/RnLKq8wB2"
],
"maxResults": 200,
"sentimentAnalysis": true,
"deltaMode": false
}

2. Auto-Discover Active Posts & Harvest Comments by Brand Keyword (JSON)

{
"mode": "post_comments",
"postIds": [],
"searchQuery": "Tesla",
"autoLocalize": true,
"maxResults": 150,
"sentimentAnalysis": true
}

Output

Each extracted comment is stored in your Apify Dataset with standardized province geolocation and sentiment fields (matching the "5356654347420790" input above):

{
"mode": "post_comments",
"postId": "5356654347420790",
"commentId": "5356658192014412",
"text": "焕新版 Model Y 的隔音和底盘滤震确实提升很大,周末刚去广州门店试驾完!",
"sentiment": "positive",
"sentimentScore": 0.78,
"createdAt": "Sat Oct 24 14:22:10 +0800 2026",
"createdAtIso": "2026-10-24T14:22:10+08:00",
"authorId": "6108685154",
"authorName": "数码玩家Leo",
"authorVerified": false,
"regionName": "广东",
"regionEn": "Guangdong",
"likesCount": 42,
"scrapedAt": "2026-10-24 16:45:10 UTC"
}

Output Field Definitions

  • postId: The 16-digit ID of the parent Weibo post (use this to join comments back to posts).
  • commentId: Unique ID of the comment (deduplicated within and across runs).
  • text: Clean HTML-stripped comment text in Simplified Chinese.
  • regionName / regionEn: Commenter's IP location as displayed by Weibo (广东 → "Guangdong").
  • likesCount: Number of upvotes/likes the comment has received.
  • sentiment / sentimentScore: Sentiment polarity (positive, negative, neutral) and score (-1.0 to +1.0).

Automated Comment Thread Monitoring (Schedules & Delta Mode)

Monitor viral posts for new reader replies automatically:

  1. In Apify Console → Schedules → Create new schedule, select axon-studio/weibo-comments-scraper and set your run interval.
  2. Enable deltaMode: true. Previously delivered commentId records are stored in DELTA_SEEN_IDS and skipped automatically on future runs—so you only pay for brand-new comments.

Python & Synchronous REST API Integration

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_API_TOKEN")
run = client.actor("axon-studio/weibo-comments-scraper").call(run_input={
"mode": "post_comments",
"postIds": ["5356654347420790"],
"maxResults": 100,
"sentimentAnalysis": True,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["commentId"], item["regionEn"], item["sentiment"], item["text"])
curl -X POST "https://api.apify.com/v2/acts/axon-studio~weibo-comments-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"mode":"post_comments","postIds":[],"searchQuery":"Tesla","maxResults":50}'

How Much Does It Cost to Scrape Weibo Comments? (Pricing)

$4.50 per 1,000 comments ($0.0045 per comment) + $0.02 per Actor start (Pay-Per-Event)

  • Free Plan Credits: Every Apify account includes $5.00 in free monthly credits, covering up to 1,111 Weibo comments every month for free.
  • Volume Discounts: Automatic lower unit prices for Apify Bronze / Starter, Silver / Scale, and Gold / Business plan subscribers.
  • No Server Compute Fees: Memory and CPU usage are included in the Pay-Per-Event price.
  • Typical Run Costs: 100 comments = $0.47 · 500 comments = $2.27 · 2,000 comments = $9.02.

No. This Actor uses a dual PC and Mobile comment engine paired with automatic session management—no personal cookies or login required.

This Actor extracts publicly visible comments and IP province tags displayed on Weibo posts and does not access private data. Public usernames, UIDs, and province labels may constitute personal data under GDPR or PIPL; ensure you have a lawful basis for market research or NLP analysis. Not affiliated with Sina Corporation or Weibo.


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