WeChat Official Account & Article Scraper

Search public Sogou Weixin for WeChat Official Account articles by keyword and extract titles, summaries, accounts, publication times and links, with optional brand-signal scoring and snapshot change monitoring. Returns structured, machine-readable results for repeatable research.

Why use this Actor

Brand and research teams need recurring WeChat Official Account intelligence that identifies meaningful account/article changes without manual review.

Key features

• Buyer-native inputs aligned to wechat brand monitor.
• Predictable structured output in the default Apify Dataset.
• Pay Per Event pricing tied to measurable result rows or reports.
• Optional MCP connector delivery for downstream automation and AI agents.

Quick start

Start with this working example and replace the target values with your own:

{
  "queries": [
    "人工智能"
  ],
  "maxResultsPerQuery": 3,
  "previousSnapshot": []
}

The Actor writes structured results to the default Apify Dataset and can be used from the Store, API, schedules, Tasks, automations and MCP-compatible AI workflows.

Input

• queries — Brand or topic keywords: Search public WeChat Official Account articles through Sogou Weixin.
• maxResultsPerQuery — Results per query: Maximum article rows per keyword.
• maxPagesPerQuery — Search pages per query: Fetch up to three Sogou Weixin result pages per keyword for broader coverage.
• minBrandSignalScore — Minimum brand signal score: Optional minimum score for emitted article rows.

All integration and advanced analysis fields are optional. The default example is intentionally runnable without configuring MCP or a previous-run baseline.

Output

The Dataset exposes predictable machine-readable output. Representative fields include results.

Pricing

This Actor uses Pay Per Event. The current factory base price is $0.003500 per result event. The Apify Store remains the source of truth for the price and plan/tier details shown to the buyer.

Use cases

• Run the buyer-ready workflows exposed as Apify Tasks without preparing a custom integration first.
• Use the Actor from API or schedules for recurring collection, comparison or monitoring.
• Feed the structured Dataset output into spreadsheets, databases, automations or AI agents.
• Compare repeat runs when the product supports snapshots or previous-run inputs.

Automation and AI

Use the same Actor through Apify API, schedules, public Tasks and the Apify MCP server. Outputs are structured for downstream workflows and AI agents rather than requiring manual copy/paste.

Limitations

• Public websites and upstream APIs can change markup, access rules, rate limits or field availability without notice.
• Fields that are not publicly available are returned as unavailable or omitted rather than fabricated.
• Analytical outputs depend on the quality and coverage of the supplied or collected source data.
• Treat marketplace, reputation, workforce, safety or commercial signals as decision support and validate material decisions against the underlying source evidence.

Detailed documentation

Detailed documentation

Detailed documentation

WeChat Official Accounts are an important China information channel. Instead of returning only article links, this Actor ranks brand/topic coverage and detects what appeared or changed across runs.

Why use this Actor

This Actor is built for users who need structured evidence and a decision layer rather than a pile of raw HTML. It extracts public-source data, normalizes the records, assigns deterministic scores that can be inspected, and emits compact actions suitable for people, APIs, MCP clients, and autonomous agents. The design favors lightweight HTTP execution where the source permits it and fails explicitly when a source blocks access instead of silently inventing rows. Snapshot input can be reused across scheduled runs to turn one-time extraction into monitoring.

Key features

• Public Sogou Weixin article search.
• Title, summary, Official Account, publication time and result URL.
• Recency, keyword mention and publisher-presence scoring.
• NEW/change detection from prior snapshots.
• Agent-ready alert actions and summary.

Input

Provide one or more brand/topic keywords, per-query limit and optional previous snapshot.

Output

Each row represents a public indexed WeChat article with normalized brandSignalScore, change evidence and agentAction.

Example

{
  "queries": [
    "人工智能"
  ],
  "maxResultsPerQuery": 3,
  "previousSnapshot": []
}

The default dataset contains one billable decision-ready row per extracted entity. Aggregate summaries and reusable snapshots are stored in the default key-value store when applicable. Scores are deterministic heuristics, not claims of certainty.

Use cases

• PR and brand monitoring.
• Competitor coverage tracking.
• China industry research.
• Scheduled new-article alerts.

Pricing

Initial benchmark price: US$0.0035 per qualified article row before tier discounts.

The Actor uses pay-per-event pricing. The primary event is one qualified row written to the default dataset. The product is designed to keep platform cost materially below the event price at normal workloads; the factory rechecks margin from live validation runs before publication.

Limitations

Coverage reflects public Sogou Weixin indexing. Search redirect URLs may expire; v1 does not promise read counts or comments.

Public web sources change. A successful extraction today is not a contractual guarantee that a source will preserve the same markup tomorrow. Anti-bot systems, regional network behavior, deleted content, private accounts, and login-only data can reduce coverage. This Actor does not bypass account access controls and does not claim access to private data. Use the output as operational evidence and revalidate high-stakes decisions against the original source.