# Sogou WeChat Article Search Scraper (`jungle_synthesizer/sogou-wechat-article-search-scraper`) Actor Search WeChat (微信) Official Account articles by keyword via Sogou's public discovery gate. Returns article title, summary, author account, publish date, and cover image for every match, with the final mp.weixin.qq.com article link resolved past Sogou's redirect hop. - **URL**: https://apify.com/jungle\_synthesizer/sogou-wechat-article-search-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Sogou WeChat Article Search Scraper — Keyword Discovery Across WeChat Official Accounts Search WeChat (微信) Official Account (公众号) articles by keyword via [Sogou's WeChat search](https://weixin.sogou.com), the only public discovery surface for WeChat's professional content. Returns article title, summary, publishing account, publish date, and cover image for every match, with the article link resolved past Sogou's redirect hop to the real `mp.weixin.qq.com` article URL. --- ### Features - Keyword search across **unknown** WeChat Official Accounts — find articles without knowing which account published them, unlike per-account scrapers - Returns article title, summary/snippet, publishing account name, publish date, and cover image per result - Resolves Sogou's anti-spider redirect hop to the final `mp.weixin.qq.com` article URL — not the raw Sogou link - Configurable page depth (`maxPages`) and result cap (`maxItems`) - Throttled, single-session crawl designed to stay under Sogou's rate-limit escalation threshold --- ### Who Uses This - **China market researchers** — track how a keyword, brand, or topic is being covered across WeChat's Official Account ecosystem - **Marketing agencies** — monitor competitor or campaign mentions across 公众号 content - **Brand monitoring teams** — surface new articles mentioning a product or company name - **Content researchers** — discover WeChat articles on a topic without already knowing which accounts publish it --- ### How It Works 1. Submits your keyword to `weixin.sogou.com`'s public search endpoint and parses the server-rendered result blocks (title, summary, account name, publish date, cover image) 2. For each result, follows Sogou's `/link?url=...` redirect in a real browser session — the redirect completes via client-side JavaScript, so a plain HTTP request cannot observe it 3. Decodes the final article URL, including unwrapping WeChat's own environment-check wall (`wappoc_appmsgcaptcha`) back to the real `mp.weixin.qq.com/s?...` article link when WeChat gates the session 4. Paginates to additional Sogou result pages (up to `maxPages`, capped by Sogou at ~10 pages / ~100 results per keyword) until `maxItems` is reached **A note on WeChat's own gating:** opening a WeChat article link outside the WeChat app can trigger WeChat's own environment-check page rather than Sogou's. This actor decodes the real article URL from that page automatically, but it's a WeChat-side behavior — not something any external tool fully controls, and it applies to any automated resolution of WeChat article links, not just this actor's. --- ### Input ```json { "searchKeyword": "AI", "maxPages": 1, "maxItems": 10 } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `searchKeyword` | string | — (required) | Keyword to search for across WeChat Official Account articles, e.g. `"AI"` or `"跨境电商"`. | | `maxPages` | integer | `1` | Maximum number of Sogou result pages to walk (Sogou caps at ~10 pages, ~10 results/page). | | `maxItems` | integer | `10` | Maximum number of articles to return. | *** ### Output Fields ```json { "search_keyword": "AI", "rank_position": 1, "article_title": "AI 开始定义芯片了", "article_url": "https://mp.weixin.qq.com/s?src=11×tamp=...&signature=...", "article_summary": "过去十几年,几乎都是芯片定义AI...", "gzh_name": "人间红尘客", "gzh_id": null, "gzh_avatar_url": null, "published_at": "2026-07-06T01:54:03.000Z", "read_count": null, "cover_image_url": "https://img01.sogoucdn.com/v2/thumb?...", "snapshotted_at": "2026-07-06T04:10:00.000Z" } ``` | Field | Description | |-------|-------------| | `search_keyword` | The keyword this record was found under | | `rank_position` | 1-based rank of this article in the search results for the keyword | | `article_title` | Article title | | `article_url` | Final `mp.weixin.qq.com` article URL, resolved past Sogou's redirect hop | | `article_summary` | Article snippet/summary shown in the search result | | `gzh_name` | WeChat Official Account (公众号) display name that published the article | | `gzh_id` | WeChat Official Account id — not surfaced on the search-results listing (usually `null`) | | `gzh_avatar_url` | WeChat Official Account avatar image URL — not surfaced on the search-results listing (usually `null`) | | `published_at` | Article publish timestamp (ISO 8601) | | `read_count` | Article read count, if surfaced by Sogou (often `null`) | | `cover_image_url` | Article cover image URL | | `snapshotted_at` | Timestamp this record was scraped (ISO 8601) | *** ### Resuming a large crawl Every run emits a `resumeCursor` in its Output. If a large crawl stops before it finishes — because it hit `maxItems`, your spend cap (`maxTotalChargeUsd`), or was aborted — start a new run with **the same input** plus that `resumeCursor` to continue from where it left off. - You are **not re-charged** for records the earlier run already delivered. - Resume within your account's run-retention window — on the free tier, roughly your 10 most recent runs. Once the source run is pruned, its `resumeCursor` is no longer valid. - `resumeCursor` is opaque — supply it unmodified. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `resumeCursor` (type: `string`): Leave empty for a fresh crawl. To CONTINUE a previous run where it stopped — without paying again for records you already received — paste the `resumeCursor` value from that run's Output (the run's OUTPUT key). Resume promptly: the previous run's data expires with your account's retention window (free tier: your ~10 most recent runs). ## `searchKeyword` (type: `string`): Keyword to search for across WeChat (公众号) Official Account articles, e.g. "AI" or "跨境电商". ## `maxPages` (type: `integer`): Maximum number of Sogou result pages to walk per keyword (Sogou caps at ~10 pages, ~10 results/page). ## `maxItems` (type: `integer`): Maximum number of articles to return. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchKeyword": "AI", "maxPages": 1, "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchKeyword": "AI", "maxPages": 1, "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/sogou-wechat-article-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchKeyword": "AI", "maxPages": 1, "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/sogou-wechat-article-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchKeyword": "AI", "maxPages": 1, "maxItems": 10 }' | apify call jungle_synthesizer/sogou-wechat-article-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/sogou-wechat-article-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sogou WeChat Article Search Scraper", "description": "Search WeChat (微信) Official Account articles by keyword via Sogou's public discovery gate. Returns article title, summary, author account, publish date, and cover image for every match, with the final mp.weixin.qq.com article link resolved past Sogou's redirect hop.", "version": "0.1", "x-build-id": "2lAuTwtmav2amHgKw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~sogou-wechat-article-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-sogou-wechat-article-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~sogou-wechat-article-search-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-sogou-wechat-article-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~sogou-wechat-article-search-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-sogou-wechat-article-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "searchKeyword", "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "resumeCursor": { "title": "Resume cursor (continue a previous run)", "type": "string", "description": "Leave empty for a fresh crawl. To CONTINUE a previous run where it stopped — without paying again for records you already received — paste the `resumeCursor` value from that run's Output (the run's OUTPUT key). Resume promptly: the previous run's data expires with your account's retention window (free tier: your ~10 most recent runs)." }, "searchKeyword": { "title": "Search Keyword", "type": "string", "description": "Keyword to search for across WeChat (公众号) Official Account articles, e.g. \"AI\" or \"跨境电商\"." }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of Sogou result pages to walk per keyword (Sogou caps at ~10 pages, ~10 results/page).", "default": 1 }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of articles to return.", "default": 10 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```