WeChat Articles Scraper 微信公众号文章 avatar

WeChat Articles Scraper 微信公众号文章

Pricing

from $1.40 / 1,000 extracted wechat official accounts & articles insights harvesters

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WeChat Articles Scraper 微信公众号文章

WeChat Articles Scraper 微信公众号文章

Scrape WeChat Official Account (微信公众号) articles, brand news, publication dates, author metadata, read counters, and full article text without requiring a Chinese phone number, VPN, or login.

Pricing

from $1.40 / 1,000 extracted wechat official accounts & articles insights harvesters

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Developer

David Sandor

David Sandor

Maintained by Community

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0

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2

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1

Monthly active users

14 hours ago

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WeChat Official Accounts & Articles Insights Harvester 🚀

Apify Actor Pay Per Event Zero Maintenance RAG Ready

Scrapes WeChat Official Account (公众号) articles, brand news, publication dates, author metadata, read counters, and article body text without requiring a Chinese phone number or login.

⚡ Instant Data Scraper Guarantee (No Setup Required):

  • 🟢 Zero-Config: No proxies, browser extensions, or account logins needed.
  • 🚀 1-Click Free Test: Just click the green "Save & Start" button with the pre-filled inputs to test live data extraction in < 3 seconds.
  • 📊 Instant Export: Download verified leads and records directly to Excel, CSV, or JSON.
  • 🇺🇸 US & Global High-Speed Coverage: Clean structured outputs optimized for CRM, AI agents, and Google Sheets.

⚡ 1-Click API Quick-Start (cURL / Python / Dify / FastGPT / Coze)

Run directly via HTTP API without opening the browser form (支持直接通过 API 调用,无缝接入 Dify、Coze、FastGPT 与自动化脚本):

# 1-Click cURL Instant Run (Replace YOUR_APIFY_TOKEN)
curl -X POST "https://api.apify.com/v2/acts/trusted_tech_spot~fast-wechat-articles-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'

⚡ Ready-to-Run Input Preview (Zero Configuration Required)

You don't need to write code or configure complex parameters. The Actor comes completely pre-configured:

SettingWhat You ProvideDefault Value (Ready to Run)Quick Link
Keyword or Product URLAny target keyword, city, or URL"Tencent"👉 Run with Default Values
Maximum ResultsNumber of items to harvest10 (Sub-2s quick test)👉 Open Input Tab

💡 Tip: Click the green button below or the "Input" tab at the top of the page to launch your test immediately.


🌟 Why Choose This Actor?

📊 No-Code Instant Export: Download your clean extracted data directly into Excel (.xlsx), CSV, JSON, or sync directly to Google Sheets with 1 click right from the Apify Console dataset tab. No coding required!

  • ⚡ High-Speed & Resilient Extraction: Engineered with intelligent rate adaptation and defensive fallbacks to eliminate downtime or captchas.
  • 💰 Predictable Pay-Per-Result Pricing: Only pay for the actual records extracted. Never pay for actor startup overhead, cold starts, or container idle seconds.
  • 🧠 AI & RAG Ready: Seamlessly feeds vector databases (Pinecone, Qdrant, ChromaDB, Weaviate) and LLM agents with pre-calculated OpenAI token counts and semantic chunking.
  • 🎯 Native Keyword Filtering: Target exact records automatically with includeKeywords and excludeKeywords without client-side post-processing.
  • 📊 Instant Multi-Format Export: One-click download into JSON, CSV, Excel, XML, or HTML Table directly from Apify Console or API.

💡 国内/跨境电商用户快速上手 (Quick Guide for China & Cross-Border Teams):

  1. 本工具已内置自动抗封锁与动态解析,无需配置任何国外代理 (No Proxy Needed),亦无需提供个人手机号或 Cookie 凭据。
  2. 点击右侧或上方 "Run" 或 "Try for free",使用系统自带的预设参数即可在 2 秒内完成首批数据提取测试。
  3. 支持在控制台直接导出 Excel、CSV、JSON 等全格式数据,或无缝对接 Python / Node.js API。


🏆 Why Switch from NewRank & Xiguaji (新榜/西瓜数据)?

🌏 No Chinese Phone or Login Required: Bypasses the SMS phone verification wall completely. ⚡ Sub-2s Real-Time Article Extraction: Full text, read counts, author info, and publication timestamps. 💰 Transparent Pricing: No ¥3,000+/year Chinese enterprise SaaS lock-in.



🎯 Common High-Impact Use Cases

  • 💼 Lead Generation & Sales Outreach: Extract clean business records with direct contact information and export to Excel/CSV for cold outreach.
  • 📈 Market Intelligence & Price Monitoring: Track live pricing, discount trends, review sentiment, and stock levels without rate limits.
  • 🤖 AI & LLM Pipeline Ingestion: Feed clean, sanitized JSON directly into vector databases (Pinecone, ChromaDB) or AI agent frameworks (LangChain, Dify, Coze).
  • ⚡ One-Click Turnkey Automation: Schedule recurring weekly runs or trigger via webhook with zero maintenance.

🚀 How to Run in 3 Easy Steps

  1. Open the Actor: Click the Run button on the top right of this page.
  2. Review or Adjust Inputs: The form is organized into clean visual sections (Primary Settings, Filtering, and AI Vector Options). Run it with default values or customize to your target.
  3. Download Results: View your extracted dataset in real time and export it to Excel, CSV, or JSON.

📥 Input Parameters

All parameters come pre-filled with sensible defaults so you can run the Actor right away:

ParameterTypeRequiredDefault / PrefillDescription
Keyword or Product URL (keywordOrUrl)stringNo"Tencent"WeChat article URL or search keyword/account name (e.g., "Tencent" or "TechTrends")
Maximum Records to Fetch (limit)integerNo3Maximum number of articles to return
Include Keywords (Filter) (includeKeywords)stringNo""Filter results to only include items containing these comma-separated keywords
Exclude Keywords (Filter) (excludeKeywords)stringNo""Filter out results containing these comma-separated keywords
Enable AI / RAG Token Chunking (enableRagEnrichment)booleanNotrueAutomatically compute OpenAI token counts and generate semantic vector chunks for RAG pipelines
Preferred Output Format (outputFormat)stringNo"JSON"Format results for preferred downstream consumer (e.g. JSON, Markdown, Flat)

📊 Realistic Output Preview (Tabular Format)

Article Title (文章标题)Official Account (公众号)Publish Date (发布时间)Author (作者)Reads (阅读数)
2026跨境电商出海趋势全解析跨境观察局2026-10-12行业分析师10,000+
AI智能体在数字化零售中的落地案例科技前沿观察2026-10-10张明8,420
华南供应链采购峰会特别报道供应链数字化2026-10-08专栏编辑5,610


📤 Sample Output Data

Data is saved directly to the default dataset. Below is a realistic example of the structured fields returned:

{
"query": "Sample query",
"totalArticles": 42,
"articles": [
"Sample Record 1",
"Sample Record 2"
],
"_sentimentScore": 0.25,
"_rag": {
"estimatedTokens": 380,
"chunksCount": 1,
"ingestionReady": true
}
}

💻 Developer API & AI Framework Integration

Node.js (apify-client)

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({
token: 'YOUR_APIFY_TOKEN',
});
// Run actor with pre-configured parameters
const run = await client.actor('trusted_tech_spot/fast-wechat-articles-scraper').call();
// Fetch structured items from the dataset
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} records:`, items);

Python (apify-client)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
# Run actor with default parameters
run = client.actor("trusted_tech_spot/fast-wechat-articles-scraper").call()
# Fetch dataset items
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Extracted {len(items)} records:", items)

LangChain Vector Ingestion (AI & RAG)

from apify_client import ApifyClient
from langchain_community.vectorstores import Chroma
from langchain_openai import OpenAIEmbeddings
from langchain_core.documents import Document
# 1. Fetch pre-chunked dataset from Apify
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("trusted_tech_spot/fast-wechat-articles-scraper").call()
items = client.dataset(run["defaultDatasetId"]).list_items().items
# 2. Extract semantic chunks directly into LangChain documents
docs = []
for item in items:
chunks = item.get("_rag", {}).get("chunks", [str(item)])
for chunk in chunks:
docs.append(Document(page_content=chunk, metadata={"source": "fast-wechat-articles-scraper"}))
# 3. Ingest into ChromaDB / Pinecone vector store
vector_store = Chroma.from_documents(docs, OpenAIEmbeddings())
print(f"Successfully indexed {len(docs)} chunks into Vector DB!")

LlamaIndex Knowledge Ingestion

from apify_client import ApifyClient
from llama_index.core import VectorStoreIndex, Document
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("trusted_tech_spot/fast-wechat-articles-scraper").call()
items = client.dataset(run["defaultDatasetId"]).list_items().items
# Wrap clean extracted text into LlamaIndex documents
documents = [Document(text=str(item)) for item in items]
index = VectorStoreIndex.from_documents(documents)
query_engine = index.as_query_engine()
response = query_engine.query("Summarize key findings from this extracted data")
print(response)

Explore our specialized high-speed micro-scrapers and cross-border intelligence tools from the trusted_tech_spot fleet:



💬 Technical Support & Custom Demands

Need custom extraction fields, high-volume dedicated scraping, enterprise data feeds, or encountered an edge-case?

  • 🐛 Open an Issue: Open a ticket directly on the Actor Issues Tab for 24-hour engineer response.
  • ✉️ Direct Email Support: Reach out directly to contact@trustedtechspot.com for custom scraping jobs, private proxy setups, or SLA contracts.
  • 💡 Feature Requests: Request new export columns, filtering rules, or platform endpoints anytime.

🔒 Privacy & Enterprise Compliance

  • No Passwords or Cookies Required: Safely executes without requesting your credentials, private tokens, or session cookies.
  • Enterprise Grade Sanitization: Automatically scrubs sensitive headers and tracking parameters before saving data.

🏷️ Search & Discovery Keywords

instant data scraper • google maps scraper • contact leads finder • b2b data enrichment • us business scraper • real-time data extraction • apify actor • fast scrapers 2026