# Zhihu Scraper — Hot List, Q\&A & Profiles (`blackfalcondata/zhihu-scraper`) Actor Scrape zhihu.com — trending hot-list questions (热榜), full Q\&A answers with text and engagement counts, and author profiles as structured data. No login or API key required. Incremental mode flags new and changed records for monitoring and AI pipelines. - **URL**: https://apify.com/blackfalcondata/zhihu-scraper.md - **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ### What does Zhihu Scraper do? Zhihu Scraper extracts structured Q&A data from [zhihu.com](https://zhihu.com) — trending hot-list questions, full question and answer text, and author profiles. Each record carries engagement metrics (upvotes, comments, thanks, and followers), with no login required. ### How to use this actor - 👉 **Register for a free Apify account** — no credit card required. - 🎉 Just click **[Sign up free on Apify →](https://console.apify.com/sign-up?fpr=1h3gvi&fp_sid=ctarich)** and complete a quick signup. - 💰 A free Apify account includes $5 in monthly credits — enough to test this actor. - ⏳ Scrape during the free trial, with no commitment or upfront payment required. ### Key features - **🔔 Notifications** — Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue. - **🔗 Paste-mode** — paste any zhihu URL straight from your browser — single-listing pages, search-results URLs, or category SEO URLs. Mix freely with keyword and IDs in the same run; results dedupe by ID. - **📦 Compact mode** — AI-agent and MCP-friendly payloads with core fields only. - **📌 Change classification** — each record carries a `changeType` of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with `emitUnchanged` / `emitExpired`. Repost detection flags previously-expired listings that come back. - **🔌 MCP connectors** — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows. - **♻️ Incremental mode** — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline; subsequent runs emit only NEW / UPDATED / REAPPEARED records (UNCHANGED + EXPIRED opt-in). Saves 80–95% on daily monitoring. - **🧹 Empty-field stripping** — drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards that already handle missing fields gracefully. - **📤 Export anywhere** — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …). ### What data can you extract from zhihu.com? Each result includes Core listing fields (`type`, `id`, `recordId`, `url`, `title`, `excerpt`, `content`, and `contentLength`, and more). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned. ### Input Configure the actor through the input schema in Apify Console. Key parameters: - **`operation`** — What to scrape. **Hot List** = today's trending questions (热榜). **Questions** = full question + answers for the URLs you supply. **Profiles** = author profile stats for the URLs you supply. (default: `"hotList"`) - **`limit`** — Number of trending questions to fetch (Hot List operation). 1–100. (default: `50`) - **`startUrls`** — For **Questions**: question URLs (https://www.zhihu.com/question/12345) or bare ids. For **Profiles**: profile URLs (https://www.zhihu.com/people/token) or bare tokens. - **`includeAnswers`** — Fetch each question's page for the full question detail + first-page answers (with full text and engagement). Turn off for a fast trending snapshot (Hot List metadata only). (default: `true`) - **`maxAnswersPerQuestion`** — Cap answers emitted per question. 0 = all embedded first-page answers. (default: `0`) - **`compact`** — Output only core fields (for AI-agent / MCP workflows). (default: `false`) - **`excludeEmptyFields`** — Drop null, empty-string, and empty-array fields from each record before push. (default: `false`) - **`incrementalMode`** — Compare against previous run state and tag each record NEW / CHANGED / UNCHANGED. stateKey is optional — defaults to a stable key derived from the operation and targets. (default: `false`) - **`stateKey`** — Optional. Stable identifier for the tracked set (e.g. "zhihu-hotlist"). Leave empty to auto-generate. - **`emitUnchanged`** — When incremental, also emit records that haven't changed. (default: `false`) - **`telegramToken`** — Telegram bot token (from @BotFather). Required for Telegram notifications. - **`telegramChatId`** — Telegram chat or channel ID (e.g. "-100123456789"). Required when telegramToken is set. - ...and 8 more parameters ### Input examples **Trending hot list (fast snapshot)** — undefined → undefined ```json { "operation": "hotList", "limit": 20, "includeAnswers": false } ```` **Hot list with full answers** — undefined → undefined ```json { "operation": "hotList", "limit": 10, "includeAnswers": true } ``` **Specific questions by URL** — undefined → undefined ```json { "operation": "questions", "startUrls": [ "https://www.zhihu.com/question/19550225" ] } ``` **Author profiles by URL** — undefined → undefined ```json { "operation": "profiles", "startUrls": [ "https://www.zhihu.com/people/zhang-jia-wei" ] } ``` **Track the hot list for changes (incremental)** — undefined → undefined ```json { "operation": "hotList", "limit": 50, "includeAnswers": false, "incrementalMode": true } ``` ### Output Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console. ### Example listing record ```json { "type": "question", "id": "2061371759589323800", "recordId": "zhihu.com:question:2061371759589323800", "url": "https://www.zhihu.com/question/2061371759589323800", "title": "经济学家任泽平 VIP 付费会员群「暴雷」，有人听信操作建议亏损 1000多万，你如何看这种现象？", "excerpt": "科技股持续下跌，网红经济学家任泽平站上风口浪尖。此前，任泽平持续看好科技牛行情，指出AI科技牛是康波周期量级的机会，天花板远远没有看到，是这代人最重要的时代机遇。 此前科技股走出了波澜壮阔的行情，双创指数均创下历史新高，然而近期韩国“存储双雄”跳水，引发A股连锁反应，科技股遭遇踩踏行情。 据报道，近期群名为“泽平宏观VIP群30”的付费会员群出现投资者激烈控诉。该投资者称，自己听信任泽平相关 “科...", "contentLength": 0, "commentCount": 0, "answerCount": 192, "followerCount": 439, "hotRank": 1, "hotHeat": "442 万热度", "authorName": "用户", "questionId": "2061371759589323800", "questionTitle": "经济学家任泽平 VIP 付费会员群「暴雷」，有人听信操作建议亏损 1000多万，你如何看这种现象？", "topics": [ "922", "6722", "6723", "19800", "166889" ], "createdTime": "2026-07-17T00:48:45.000Z", "fetchedAt": "2026-07-18T00:00:00.000Z" } ``` ### Incremental fields When incremental mode is on, each record also carries: - `changeType` — one of `NEW`, `UPDATED`, `UNCHANGED`, `REAPPEARED`, `EXPIRED`. Default output covers `NEW` / `UPDATED` / `REAPPEARED`; set `emitUnchanged: true` to opt into the others. ### How to scrape zhihu.com 1. Go to [Zhihu Scraper](https://apify.com/blackfalcondata/zhihu-scraper?fpr=1h3gvi) in Apify Console. 2. Configure the input. 3. Set `maxResults` to control how many results you need. 4. Click **Start** and wait for the run to finish. 5. Export the dataset as JSON, CSV, or Excel. ### Use cases - Extract listing data from zhihu.com for market research and competitive analysis. - Monitor new and changed listings on scheduled runs without processing the full dataset every time. - Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode. - Export clean, structured data to dashboards, spreadsheets, or data warehouses. ### How much does it cost to scrape zhihu.com? Zhihu Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced. - **Run start:** $0.01 per run - **Per result:** $0.003 per listing record Example costs: - 10 results: **$0.04** - 25 results: **$0.085** - 100 results: **$0.31** - 200 results: **$0.61** - 500 results: **$1.51** #### Example: recurring monitoring savings These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions. Example setup: 250 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count. | Churn rate | Full re-scrape run cost | Incremental run cost | Savings vs full re-scrape | Monthly cost after baseline | |---|---:|---:|---:|---:| | 5% — stable niche query | $0.76 | $0.05 | $0.71 (94%) | $1.43 | | 15% — moderate broad query | $0.76 | $0.12 | $0.64 (84%) | $3.67 | | 30% — high-volume aggregator | $0.76 | $0.24 | $0.53 (69%) | $7.05 | Full re-scrape monthly cost at daily polling: $22.80. First month with incremental costs $2.14 / $4.31 / $7.58 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply. Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same. ### FAQ #### How many results can I get from zhihu.com? The number of results depends on the search query and available listings on zhihu.com. Use the `maxResults` parameter to control how many results are returned per run. #### Does Zhihu Scraper support recurring monitoring? Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset. #### Can I integrate Zhihu Scraper with other apps? Yes. Zhihu Scraper works with Apify's [integrations](https://apify.com/integrations?fpr=1h3gvi) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes. #### Can I use Zhihu Scraper with the Apify API? Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages. #### Can I use Zhihu Scraper through an MCP Server? Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) that lets AI assistants and agents call this actor directly. Use compact mode and `excludeEmptyFields` to keep payloads manageable for LLM context windows. #### Is it legal to scrape zhihu.com? This actor extracts publicly available data from zhihu.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant. #### Your feedback If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/zhihu-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve. ### You might also like - [Douyin Hot Search Scraper](https://apify.com/blackfalcondata/douyin-scraper?fpr=1h3gvi) — Scrape douyin.com real-time trending boards — hot search, seeding, entertainment, social. - [Facebook Group Post Scraper](https://apify.com/blackfalcondata/facebook-group-post-scraper?fpr=1h3gvi) — Scrape facebook.com group posts from group URLs with post text, timestamps, engagement counters,. - [LinkedIn Profile Scraper + Email](https://apify.com/blackfalcondata/linkedin-profile-scraper?fpr=1h3gvi) — Scrape LinkedIn profiles by URL, handle, or people-search filters for recruiting research, CRM. - [Maigret Username OSINT — Verified Account Finder](https://apify.com/blackfalcondata/maigret-username-osint-scraper?fpr=1h3gvi) — Find where a username or handle exists across hundreds of social media networks and websites. Every. - [Pinterest Scraper — Pins, Boards, Profiles & Engagement](https://apify.com/blackfalcondata/pinterest-scraper?fpr=1h3gvi) — \[💰$1.35/1K] Scrape Pinterest pins, boards and profiles by keyword or Start URL. Export images,. - [Quora Scraper — Q\&A, Profiles & Spaces](https://apify.com/blackfalcondata/quora-scraper?fpr=1h3gvi) — \[💰$0.8/1K] Scrape Quora questions, answers, profiles, posts, and spaces by search or URL —. - [Reddit Email Scraper — Extract Emails from Posts & Comments](https://apify.com/blackfalcondata/reddit-email-scraper?fpr=1h3gvi) — Extract email addresses and contact details from Reddit posts, comments and user profiles. Search. - [Reddit Lead Scraper — Emails, Socials & Contact Info](https://apify.com/blackfalcondata/reddit-lead-scraper?fpr=1h3gvi) — Turn Reddit into a B2B lead list. Keep only records that expose a contact signal — email, social. ### Getting started with Apify New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi\&fp_sid=ctarich) — no credit card required. 1. Sign up — $5 platform credit included 2. Open this actor and configure your input 3. Click **Start** — export results as JSON, CSV, or Excel Need more later? [See Apify pricing](https://apify.com/pricing?fpr=1h3gvi). # Actor input Schema ## `operation` (type: `string`): What to scrape. **Hot List** = today's trending questions (热榜). **Questions** = full question + answers for the URLs you supply. **Profiles** = author profile stats for the URLs you supply. ## `limit` (type: `integer`): Number of trending questions to fetch (Hot List operation). 1–100. ## `startUrls` (type: `array`): For **Questions**: question URLs (https://www.zhihu.com/question/12345) or bare ids. For **Profiles**: profile URLs (https://www.zhihu.com/people/token) or bare tokens. ## `includeAnswers` (type: `boolean`): Fetch each question's page for the full question detail + first-page answers (with full text and engagement). Turn off for a fast trending snapshot (Hot List metadata only). ## `maxAnswersPerQuestion` (type: `integer`): Cap answers emitted per question. 0 = all embedded first-page answers. ## `proxyConfiguration` (type: `object`): Proxy configuration. Recommended for reliable access. ## `compact` (type: `boolean`): Output only core fields (for AI-agent / MCP workflows). ## `excludeEmptyFields` (type: `boolean`): Drop null, empty-string, and empty-array fields from each record before push. ## `incrementalMode` (type: `boolean`): Compare against previous run state and tag each record NEW / CHANGED / UNCHANGED. stateKey is optional — defaults to a stable key derived from the operation and targets. ## `stateKey` (type: `string`): Optional. Stable identifier for the tracked set (e.g. "zhihu-hotlist"). Leave empty to auto-generate. ## `emitUnchanged` (type: `boolean`): When incremental, also emit records that haven't changed. ## `telegramToken` (type: `string`): Telegram bot token (from @BotFather). Required for Telegram notifications. ## `telegramChatId` (type: `string`): Telegram chat or channel ID (e.g. "-100123456789"). Required when telegramToken is set. ## `discordWebhookUrl` (type: `string`): Discord incoming webhook URL. Server Settings → Integrations → Webhooks. ## `slackWebhookUrl` (type: `string`): Slack incoming webhook URL. api.slack.com/messaging/webhooks. ## `webhookUrl` (type: `string`): Receives a JSON POST with {metadata, items} after each run. For n8n / Make / Zapier / custom backends. ## `webhookHeaders` (type: `object`): Optional JSON object of custom headers (e.g. {"Authorization":"Bearer ..."}). ## `notificationLimit` (type: `integer`): Maximum number of records included in each notification message (1–20). ## `notifyOnlyChanges` (type: `boolean`): When Incremental Mode is on, only notify for NEW and CHANGED records. ## `appConnector` (type: `string`): Optional. Pick a connected app under Settings → API & Integrations to receive your results. Best-effort across MCP connectors as Apify expands its catalog. ## `mcpIssueTeam` (type: `string`): Only when the connected app is an issue tracker: the team the summary issue is created under. ## Actor input object example ```json { "operation": "hotList", "limit": 20, "includeAnswers": true, "maxAnswersPerQuestion": 0, "proxyConfiguration": { "useApifyProxy": true }, "compact": false, "excludeEmptyFields": false, "incrementalMode": false, "emitUnchanged": false, "notificationLimit": 5, "notifyOnlyChanges": false } ``` # 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 = { "operation": "hotList", "limit": 20, "includeAnswers": false, "excludeEmptyFields": false }; // Run the Actor and wait for it to finish const run = await client.actor("blackfalcondata/zhihu-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 = { "operation": "hotList", "limit": 20, "includeAnswers": False, "excludeEmptyFields": False, } # Run the Actor and wait for it to finish run = client.actor("blackfalcondata/zhihu-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 '{ "operation": "hotList", "limit": 20, "includeAnswers": false, "excludeEmptyFields": false }' | apify call blackfalcondata/zhihu-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blackfalcondata/zhihu-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zhihu Scraper — Hot List, Q&A & Profiles", "description": "Scrape zhihu.com — trending hot-list questions (热榜), full Q&A answers with text and engagement counts, and author profiles as structured data. No login or API key required. Incremental mode flags new and changed records for monitoring and AI pipelines.", "version": "0.1", "x-build-id": "uSrufGtFTaaF9Woog" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~zhihu-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-zhihu-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blackfalcondata~zhihu-scraper/runs": { "post": { "operationId": "runs-sync-blackfalcondata-zhihu-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blackfalcondata~zhihu-scraper/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-zhihu-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "operation": { "title": "🎯 Operation", "enum": [ "hotList", "questions", "profiles" ], "type": "string", "description": "What to scrape. **Hot List** = today's trending questions (热榜). **Questions** = full question + answers for the URLs you supply. **Profiles** = author profile stats for the URLs you supply.", "default": "hotList" }, "limit": { "title": "🔢 Hot List Size", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of trending questions to fetch (Hot List operation). 1–100.", "default": 50 }, "startUrls": { "title": "🔗 Question / Profile URLs", "type": "array", "description": "For **Questions**: question URLs (https://www.zhihu.com/question/12345) or bare ids. For **Profiles**: profile URLs (https://www.zhihu.com/people/token) or bare tokens.", "items": { "type": "string" } }, "includeAnswers": { "title": "💬 Include Answers", "type": "boolean", "description": "Fetch each question's page for the full question detail + first-page answers (with full text and engagement). Turn off for a fast trending snapshot (Hot List metadata only).", "default": true }, "maxAnswersPerQuestion": { "title": "✂️ Max Answers Per Question", "minimum": 0, "maximum": 50, "type": "integer", "description": "Cap answers emitted per question. 0 = all embedded first-page answers.", "default": 0 }, "proxyConfiguration": { "title": "🌐 Proxy", "type": "object", "description": "Proxy configuration. Recommended for reliable access.", "default": { "useApifyProxy": true } }, "compact": { "title": "📦 Compact Output", "type": "boolean", "description": "Output only core fields (for AI-agent / MCP workflows).", "default": false }, "excludeEmptyFields": { "title": "🧹 Exclude Empty Fields", "type": "boolean", "description": "Drop null, empty-string, and empty-array fields from each record before push.", "default": false }, "incrementalMode": { "title": "♻️ Incremental Mode", "type": "boolean", "description": "Compare against previous run state and tag each record NEW / CHANGED / UNCHANGED. stateKey is optional — defaults to a stable key derived from the operation and targets.", "default": false }, "stateKey": { "title": "🔑 State Key", "type": "string", "description": "Optional. Stable identifier for the tracked set (e.g. \"zhihu-hotlist\"). Leave empty to auto-generate." }, "emitUnchanged": { "title": "♻️ Emit Unchanged Records", "type": "boolean", "description": "When incremental, also emit records that haven't changed.", "default": false }, "telegramToken": { "title": "🔑 Telegram Bot Token", "type": "string", "description": "Telegram bot token (from @BotFather). Required for Telegram notifications." }, "telegramChatId": { "title": "💬 Telegram Chat ID", "type": "string", "description": "Telegram chat or channel ID (e.g. \"-100123456789\"). Required when telegramToken is set." }, "discordWebhookUrl": { "title": "🎮 Discord Webhook URL", "type": "string", "description": "Discord incoming webhook URL. Server Settings → Integrations → Webhooks." }, "slackWebhookUrl": { "title": "💼 Slack Webhook URL", "type": "string", "description": "Slack incoming webhook URL. api.slack.com/messaging/webhooks." }, "webhookUrl": { "title": "🪝 Generic Webhook URL", "type": "string", "description": "Receives a JSON POST with {metadata, items} after each run. For n8n / Make / Zapier / custom backends." }, "webhookHeaders": { "title": "📋 Webhook Headers", "type": "object", "description": "Optional JSON object of custom headers (e.g. {\"Authorization\":\"Bearer ...\"})." }, "notificationLimit": { "title": "📊 Max Records Per Notification", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of records included in each notification message (1–20).", "default": 5 }, "notifyOnlyChanges": { "title": "🔄 Notify Only New/Updated", "type": "boolean", "description": "When Incremental Mode is on, only notify for NEW and CHANGED records.", "default": false }, "appConnector": { "title": "Send results to a connected app", "type": "string", "description": "Optional. Pick a connected app under Settings → API & Integrations to receive your results. Best-effort across MCP connectors as Apify expands its catalog." }, "mcpIssueTeam": { "title": "Issue tracker team", "type": "string", "description": "Only when the connected app is an issue tracker: the team the summary issue is created under." } } }, "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 } } } } } } } } } } ```