# LinkedIn Founder & Executive Content Monitor (`coregent/linkedin-founder-executive-content-monitor`) Actor Monitor public LinkedIn posts from founders, executives, and senior leaders. Returns clean post-level rows with engagement metrics, media/link indicators, and lightweight business-signal tags - no LinkedIn login or cookies required. - **URL**: https://apify.com/coregent/linkedin-founder-executive-content-monitor.md - **Developed by:** [Delowar Munna](https://apify.com/coregent) (community) - **Categories:** Social media, Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.40 / 1,000 post-results 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 ## LinkedIn Founder & Executive Content Monitor ![LinkedIn Founder & Executive Content Monitor](https://raw.githubusercontent.com/coregentdevspace/linkedin-founder-executive-content-monitor-assets/main/thumbnail-linkedin-founder-executive-content-monitor.jpg) Monitor **public LinkedIn posts** from founders, CEOs, and senior executives, and turn them into clean, flat, CSV-ready rows — with engagement metrics, media/link indicators, and lightweight **business-signal tags** (hiring, funding, product, growth, partnership, event, thought leadership). Built for **B2B sales teams, founder-led agencies, VC/PE research, and competitive-intelligence teams**. **No LinkedIn login, no cookies, no session IDs.** The actor uses LinkedIn's public guest-visible surfaces over HTTP, so it stays fast and cost-predictable. You pay one flat event per saved unique post that passes your filters. ### ✨ Why this scraper - **Executive-content focused** — not a generic LinkedIn post extractor. You bring the founders/executives you care about; the actor returns their visible recent posts with light signal tagging. - **One input, one type** — public profile URLs in, post-level rows out. No scraping of comments, reactions, follower lists, or private content. - **30 flat fields** — profile context, author info, post text, engagement counts, media/link indicators, and signal tags. No nested objects, drops straight into Sheets/Excel/CRMs. - **Pay-Per-Event** — one flat `post-result` event per saved unique post. Duplicates and filtered rows are never charged. - **No login / cookies / sessions** — V1 stays on no-cookie public surfaces. - **Transparent signal tagging** — rule-based (no AI), explained below. ### ⚠️ V1 coverage & proxy reality Without a logged-in session, this actor extracts whatever posts LinkedIn renders to anonymous visitors on the profile page plus per-post permalinks. Two things to know up front: 1. **Coverage varies by profile.** Some public profiles (e.g., `williamhgates`) render 20–30 recent posts to guests; others render very few. The actor reports per-profile counts in `RUN_SUMMARY` (`successful_inputs`, `profiles_with_no_posts`, `failed_inputs`). 2. **LinkedIn aggressively blocks Apify shared Datacenter Proxy IPs.** You will see HTTP 999 (LinkedIn's anti-bot block) on most requests if you run with the default `useApifyProxy: true`. The actor handles 999 gracefully (counts it under `blocked_requests`, retries with session rotation), but on Datacenter the success rate is low. **For production-grade throughput, supply your own residential proxy via `proxyConfiguration.proxyUrls`.** See the Proxy policy section below. --- ### 🚀 Quick start — sample input ```json { "profileUrls": ["https://www.linkedin.com/in/williamhgates/", "https://www.linkedin.com/in/satyanadella/"], "profileLabels": { "https://www.linkedin.com/in/williamhgates/": "Notable founders", "https://www.linkedin.com/in/satyanadella/": "Big-tech CEOs" }, "maxPostsPerProfile": 30, "maxResults": 100, "postedAfter": "2026-01-01", "includeKeywords": ["hiring", "launch", "funding", "partnership"], "minReactions": 10, "includeSignalTags": true, "deduplicate": true, "proxyConfiguration": { "useApifyProxy": true } } ```` > Provide **at least one** public LinkedIn profile URL (`https://www.linkedin.com/in/{slug}/`). Per-profile labels are optional and free-text. The URLs above are real, public profiles you can use for a smoke test. *** ### 📦 Output The dataset has one view: **Executive posts** — a 30-column flat table. ![LinkedIn Founder & Executive Content Monitor — all-fields table view](https://raw.githubusercontent.com/coregentdevspace/linkedin-founder-executive-content-monitor-assets/main/linkedin-founder-executive-content-monitor-output-all-fields-table-view.png) #### Output fields (30) `input_profile_url`, `input_profile_label`, `profile_url`, `profile_slug`, `author_name`, `author_headline`, `author_company`, `post_id`, `post_url`, `post_text`, `post_text_preview`, `posted_at`, `posted_date`, `post_type`, `has_link`, `link_url`, `link_domain`, `has_image`, `has_video`, `has_document`, `reaction_count`, `comment_count`, `repost_count`, `engagement_total`, `engagement_label`, `signal_tags`, `matched_keywords`, `source_type`, `scraped_at`. #### Sample record Real row from a local smoke run against Bill Gates' public profile: ```json { "input_profile_url": "https://www.linkedin.com/in/williamhgates/", "input_profile_label": "Notable founders", "profile_url": "https://www.linkedin.com/in/williamhgates/", "profile_slug": "williamhgates", "author_name": "Bill Gates", "author_headline": "Co-chair, Gates Foundation", "author_company": "Gates Foundation", "post_id": "7464513181265125376", "post_url": "https://www.linkedin.com/posts/williamhgates_making-a-podcast-helped-one-family-talk-about-activity-7464513181265125376-jf6a", "post_text": "I felt so powerless and scared when my dad was diagnosed with Alzheimer's. It's hard to process, and even harder to talk about, when it's your loved one going through it. Colby's episode captures that reality beautifully.", "post_text_preview": "I felt so powerless and scared when my dad was diagnosed with Alzheimer's. It's hard to process, and even harder to talk about, when it's your loved one going through it. Colby's episode captures that reality beautifully.", "posted_at": "2026-05-25T03:10:26.000Z", "posted_date": "2026-05-25", "post_type": "image", "has_link": false, "link_url": "", "link_domain": "", "has_image": true, "has_video": false, "has_document": false, "reaction_count": 2041, "comment_count": 333, "repost_count": 0, "engagement_total": 2374, "engagement_label": "very_high", "signal_tags": "thought_leadership", "matched_keywords": "", "source_type": "profile_posts", "scraped_at": "2026-05-28T00:32:08.588Z" } ``` *** ### 🎛️ Inputs | Field | Type | Default | Purpose | | -------------------- | ---------------- | ----------- | ------------------------------------------------------------------------------------------ | | `profileUrls` | array of strings | required | Public LinkedIn profile URLs (`/in/{slug}/`). | | `profileLabels` | object | `{}` | Optional per-profile label, keyed by profile URL (company, list, segment, executive role). | | `maxPostsPerProfile` | integer | `25` | Per-profile cap (1–200). | | `maxResults` | integer | `500` | Global cap on saved unique posts (1–5000). | | `postedAfter` | ISO date | `null` | Keep only posts on or after this date. | | `postedBefore` | ISO date | `null` | Keep only posts on or before this date. | | `includeKeywords` | array | `[]` | Keep only posts whose text contains at least one term. | | `excludeKeywords` | array | `[]` | Remove posts whose text contains any term. Exclusion wins. | | `postTypes` | array | all | Limit to detected types: `text`, `link`, `image`, `video`, `document`, `poll`, `unknown`. | | `minReactions` | integer | `0` | Minimum visible reactions. | | `includeSignalTags` | boolean | `true` | Derive lightweight business-signal tags. | | `deduplicate` | boolean | `true` | Remove duplicates by post id / canonical URL / content hash. | | `proxyConfiguration` | object | Apify proxy | Apify proxy or custom proxy URLs. | ### 🏷️ Signal tags (PRD §7) When `includeSignalTags` is on, `signal_tags` is a pipe-separated list drawn from these rules — no AI, no LLM: | Tag | Triggers | | -------------------- | -------------------------------------------------------------------- | | `hiring_signal` | "we're hiring", "hiring", "open role", "join our team", "recruiting" | | `funding_signal` | "raised", "funding", "seed", "series a/b/c", "investment" | | `product_signal` | "launch", "released", "shipping", "new product/feature", "beta" | | `growth_signal` | "milestone", "revenue", "growth", "users", "customers", "ARR/MRR" | | `partnership_signal` | "partner", "partnership", "collaboration", "integration" | | `event_signal` | "conference", "webinar", "speaking", "panel", "meet us" | | `thought_leadership` | No commercial trigger + post >800 chars OR engagement ≥ 100 | ### 📈 Engagement label `engagement_total = reaction_count + comment_count + repost_count`. - `0–9` → `low` - `10–99` → `moderate` - `100–499` → `high` - `500+` → `very_high` ### 🚦 Proxy policy - **Apify Datacenter Proxy** is the default — fine for trying the actor, but LinkedIn returns HTTP 999 (anti-bot block) for most Datacenter IPs. Expect a low success rate. - **Apify Residential Proxy is NOT supported** — the run fails at startup with a clear message. The actor explicitly rejects `apifyProxyGroups: ["RESIDENTIAL"]`. - **Custom residential proxy via `proxyConfiguration.proxyUrls` is the production path.** Requests routed through your own provider bypass Apify billing entirely and have a dramatically higher success rate against LinkedIn. Example: ```json "proxyConfiguration": { "useApifyProxy": false, "proxyUrls": ["http://user:pass@your.residential.provider:port"] } ``` - **Block handling.** HTTP `999`, `403`, `429`, and `404` from LinkedIn flow through the request handler (not through Crawlee's parse-error path), so each block is counted under `blocked_requests` and the request is retried with a fresh session / proxy. ### 🧮 Pricing - Pricing model: **Pay-Per-Event** (`post-result`). - **Charged once** per saved unique post row that survived all filters and was successfully pushed to the dataset. - **Never charged** for: invalid profile inputs, failed profiles, blocked requests / retries, filtered-out posts, duplicates, or rows where `Actor.charge()` itself errored (those are tracked separately under `charge_failures`). - Per-event price is configured on the Apify Console (not in `actor.json`), so it can be tuned without a new build. ### 📋 Run summary The actor stores a `RUN_SUMMARY` entry in the default key-value store: ```json { "inputs_total": 3, "successful_inputs": 2, "failed_inputs": 1, "profiles_with_no_posts": 0, "raw_results_found": 78, "results_saved": 42, "duplicates_removed": 6, "filtered_out": 30, "charged_events": 42, "charge_failures": 0, "blocked_requests": 2, "retry_count": 5, "runtime_seconds": 184, "scraped_at": "2026-05-25T05:10:00.000Z" } ``` ### 🛠️ Troubleshooting **"No output" / empty dataset:** 1. **All requests returning `status=999`?** That's LinkedIn's anti-bot block on Apify Datacenter IPs. Switch to a custom residential proxy via `proxyConfiguration.proxyUrls` (see Proxy policy above). This is the single most common cause. 2. **`failed_inputs` equal to `inputs_total`?** Verify every URL is a real, public LinkedIn profile (`https://www.linkedin.com/in/{slug}/`) — open one in a private/incognito browser window without logging in; if you see only a login wall, the profile isn't public enough for V1. 3. **High `profiles_with_no_posts`?** The profile loaded but the guest HTML didn't expose any post permalinks. Some profiles render fewer (or zero) posts to anonymous visitors. Not a bug — a coverage limitation of the no-cookie surface. 4. **High `filtered_out`?** Your `postedAfter` / `postedBefore`, `includeKeywords`, `minReactions`, or `postTypes` filter is excluding everything. Try a run with all filters cleared to confirm extraction works, then re-add filters one at a time. 5. **Saved task input not updating after a new build?** Apify keeps your previously-saved input on the actor/task — it does NOT auto-pick-up new `prefill`/`default` values from an updated `input_schema.json`. Manually edit the input form (or "Reset to default") if you want the new prefill values. ### 🚫 Out of scope (V1) - Login / cookies / session-based scraping - Private or connection-only posts - LinkedIn messaging, comments inbox, follower lists - Full profile / company enrichment - Email / phone / contact enrichment - Downloading media files - Scraping full comment/reaction lists by default - AI-generated insight summaries - Sentiment analysis - Historical archive extraction beyond visible public posts - CRM integrations - Multi-platform executive monitoring These are on the roadmap — see PRD §18. # Actor input Schema ## `profileUrls` (type: `array`): Public LinkedIn profile URLs to monitor (must look like https://www.linkedin.com/in/{slug}/). Each profile is processed independently. Provide at least one real, public profile - the prefill values are illustrative. ## `profileLabels` (type: `object`): Optional per-profile label, keyed by profile URL. Useful for tagging by company, list, segment, or executive role. Labels for unknown URLs are ignored. ## `maxPostsPerProfile` (type: `integer`): Per-profile cap on collected posts. Range 1-200. ## `maxResults` (type: `integer`): Global cap on saved unique posts across all profiles. Range 1-5000. ## `postedAfter` (type: `string`): Keep only posts on or after this date (ISO YYYY-MM-DD). Leave empty to disable the lower bound. ## `postedBefore` (type: `string`): Keep only posts on or before this date (ISO YYYY-MM-DD). Leave empty to disable the upper bound. ## `includeKeywords` (type: `array`): Keep only posts whose text contains at least one of these terms (case-insensitive). Leave empty to keep all. ## `excludeKeywords` (type: `array`): Remove posts whose text contains any of these terms (case-insensitive). Exclusion wins over inclusion. ## `postTypes` (type: `array`): Limit to these detected post types. Leave the default to keep all visible types. ## `minReactions` (type: `integer`): Keep only posts with at least this many visible reactions. Missing reaction counts are treated as 0. ## `includeSignalTags` (type: `boolean`): Derive lightweight non-AI business signal tags (hiring, funding, product, growth, partnership, event, thought\_leadership) from visible post text. ## `deduplicate` (type: `boolean`): Remove duplicate posts before push and charge (by post\_id → canonical URL → content hash). ## `proxyConfiguration` (type: `object`): Apify Proxy configuration. Defaults to Apify Proxy enabled. Apify Residential is NOT supported and will fail the run at startup; if you need residential routing, supply your own provider via Custom proxy URLs (proxyUrls). ## Actor input object example ```json { "profileUrls": [ "https://www.linkedin.com/in/williamhgates/", "https://www.linkedin.com/in/satyanadella/" ], "profileLabels": { "https://www.linkedin.com/in/williamhgates/": "Notable founders", "https://www.linkedin.com/in/satyanadella/": "Big-tech CEOs" }, "maxPostsPerProfile": 25, "maxResults": 500, "postedAfter": "", "postedBefore": "", "includeKeywords": [ "hiring", "launch", "funding", "partnership" ], "excludeKeywords": [], "postTypes": [ "text", "link", "image", "video", "document", "poll", "unknown" ], "minReactions": 0, "includeSignalTags": true, "deduplicate": true, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `overview` (type: `string`): Flat 30-field table view of every saved post row, including profile context, author info, post text, engagement counts, media/link indicators, and lightweight business-signal tags. # 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 = { "profileUrls": [ "https://www.linkedin.com/in/williamhgates/", "https://www.linkedin.com/in/satyanadella/" ], "profileLabels": { "https://www.linkedin.com/in/williamhgates/": "Notable founders", "https://www.linkedin.com/in/satyanadella/": "Big-tech CEOs" }, "includeKeywords": [ "hiring", "launch", "funding", "partnership" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("coregent/linkedin-founder-executive-content-monitor").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 = { "profileUrls": [ "https://www.linkedin.com/in/williamhgates/", "https://www.linkedin.com/in/satyanadella/", ], "profileLabels": { "https://www.linkedin.com/in/williamhgates/": "Notable founders", "https://www.linkedin.com/in/satyanadella/": "Big-tech CEOs", }, "includeKeywords": [ "hiring", "launch", "funding", "partnership", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("coregent/linkedin-founder-executive-content-monitor").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 '{ "profileUrls": [ "https://www.linkedin.com/in/williamhgates/", "https://www.linkedin.com/in/satyanadella/" ], "profileLabels": { "https://www.linkedin.com/in/williamhgates/": "Notable founders", "https://www.linkedin.com/in/satyanadella/": "Big-tech CEOs" }, "includeKeywords": [ "hiring", "launch", "funding", "partnership" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call coregent/linkedin-founder-executive-content-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=coregent/linkedin-founder-executive-content-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Founder & Executive Content Monitor", "description": "Monitor public LinkedIn posts from founders, executives, and senior leaders. Returns clean post-level rows with engagement metrics, media/link indicators, and lightweight business-signal tags - no LinkedIn login or cookies required.", "version": "1.0", "x-build-id": "yd3j1h8Qgena7If1b" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/coregent~linkedin-founder-executive-content-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-coregent-linkedin-founder-executive-content-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/coregent~linkedin-founder-executive-content-monitor/runs": { "post": { "operationId": "runs-sync-coregent-linkedin-founder-executive-content-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/coregent~linkedin-founder-executive-content-monitor/run-sync": { "post": { "operationId": "run-sync-coregent-linkedin-founder-executive-content-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "profileUrls": { "title": "Profile URLs", "type": "array", "description": "Public LinkedIn profile URLs to monitor (must look like https://www.linkedin.com/in/{slug}/). Each profile is processed independently. Provide at least one real, public profile - the prefill values are illustrative.", "default": [ "https://www.linkedin.com/in/williamhgates/" ], "items": { "type": "string" } }, "profileLabels": { "title": "Profile labels", "type": "object", "description": "Optional per-profile label, keyed by profile URL. Useful for tagging by company, list, segment, or executive role. Labels for unknown URLs are ignored.", "default": {} }, "maxPostsPerProfile": { "title": "Max posts per profile", "minimum": 1, "maximum": 200, "type": "integer", "description": "Per-profile cap on collected posts. Range 1-200.", "default": 25 }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Global cap on saved unique posts across all profiles. Range 1-5000.", "default": 500 }, "postedAfter": { "title": "Posted after", "type": "string", "description": "Keep only posts on or after this date (ISO YYYY-MM-DD). Leave empty to disable the lower bound.", "default": "" }, "postedBefore": { "title": "Posted before", "type": "string", "description": "Keep only posts on or before this date (ISO YYYY-MM-DD). Leave empty to disable the upper bound.", "default": "" }, "includeKeywords": { "title": "Include keywords", "type": "array", "description": "Keep only posts whose text contains at least one of these terms (case-insensitive). Leave empty to keep all.", "default": [], "items": { "type": "string" } }, "excludeKeywords": { "title": "Exclude keywords", "type": "array", "description": "Remove posts whose text contains any of these terms (case-insensitive). Exclusion wins over inclusion.", "default": [], "items": { "type": "string" } }, "postTypes": { "title": "Post types", "type": "array", "description": "Limit to these detected post types. Leave the default to keep all visible types.", "items": { "type": "string", "enum": [ "text", "link", "image", "video", "document", "poll", "unknown" ], "enumTitles": [ "Text", "Link", "Image", "Video", "Document", "Poll", "Unknown" ] }, "default": [ "text", "link", "image", "video", "document", "poll", "unknown" ] }, "minReactions": { "title": "Minimum reactions", "minimum": 0, "type": "integer", "description": "Keep only posts with at least this many visible reactions. Missing reaction counts are treated as 0.", "default": 0 }, "includeSignalTags": { "title": "Include signal tags", "type": "boolean", "description": "Derive lightweight non-AI business signal tags (hiring, funding, product, growth, partnership, event, thought_leadership) from visible post text.", "default": true }, "deduplicate": { "title": "Deduplicate", "type": "boolean", "description": "Remove duplicate posts before push and charge (by post_id → canonical URL → content hash).", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy configuration. Defaults to Apify Proxy enabled. Apify Residential is NOT supported and will fail the run at startup; if you need residential routing, supply your own provider via Custom proxy URLs (proxyUrls).", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```