# LinkedIn Ads Library Competitive Creative Scraper (`isotonic/linkedin-ads-library-competitive-creative-scraper`) Actor Collect public LinkedIn Ads Library creatives and messaging patterns for competitor research, campaign inspiration, and structured creative analysis. - **URL**: https://apify.com/isotonic/linkedin-ads-library-competitive-creative-scraper.md - **Developed by:** [Brian Keefe](https://apify.com/isotonic) (community) - **Categories:** Social media, Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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 ## LinkedIn Ads Library Competitive Creative Scraper Production-ready Apify Actor for extracting public competitive creative signals from LinkedIn Ads Library-style HTML pages and deterministic supplied HTML fixtures. ### Compliance - Public data only. - No login, no account automation, no credential use, and no bypassing of technical access controls. - If a live public fetch is blocked, unavailable, or returns an access wall, the actor emits warning rows instead of attempting circumvention. - For repeatable workflows and tests, use `suppliedHtml` fixtures captured from public pages you are authorized to analyze. ### What It Does - Accepts company targets via name, domain, and/or public LinkedIn Ads Library URL. - Accepts deterministic `suppliedHtml` fixtures for local parsing. - Extracts ad rows with creative metadata when visible. - Emits warning rows when no public input is available or live fetches are blocked. - Applies deterministic theme-tag and positioning heuristics. - Optionally fetches public landing pages referenced by extracted ads to enrich heuristics. ### Input See `.actor/input_schema.json` for the Apify input schema. Example: ```json { "companies": [ { "name": "Example Inc", "domain": "example.com", "adLibraryUrl": "https://www.linkedin.com/ad-library/..." } ], "maxAds": 50, "includeLandingPages": false, "suppliedHtml": [ { "name": "Example Inc", "domain": "example.com", "sourceUrl": "https://www.linkedin.com/ad-library/...", "html": "..." } ] } ```` ### Output Each dataset row includes: - `advertiser` - `title` - `copy` - `body` - `cta` - `landingUrl` - `landingDomain` - `mediaUrl` - `firstSeen` - `lastSeen` - `sourceUrl` - `themeTags` - `positioningSummary` - `warnings` When the actor cannot fetch or parse a live public source, it still emits a row with `warnings` populated. ### Local Usage Install dependencies: ```bash npm install ``` Run tests: ```bash npm test ``` Run smoke test: ```bash npm run smoke ``` Run the actor locally with Apify storage: ```bash APIFY_LOCAL_STORAGE_DIR=./storage node src/main.js ``` Populate `storage/key_value_stores/default/INPUT.json` first, or use `examples/sample-input.json` as a starting point. ### Heuristics Theme tags and positioning summaries are deterministic and rule-based. They look for patterns related to: - AI and automation - analytics and reporting - lead generation and growth - cost savings and productivity - trust, compliance, and enterprise readiness - free-trial and demo-oriented conversion hooks ### Project Structure - `.actor/actor.json` - `.actor/input_schema.json` - `src/` - `examples/` - `tests/` ### Notes - The parser is fixture-first and designed to stay robust when HTML is captured from public pages and replayed locally. - Live LinkedIn/public URL access can change without notice. Blocked responses are treated as warnings, not as reasons to circumvent access controls. # Actor input Schema ## `companies` (type: `array`): Company targets. Provide public company names, domains, and/or LinkedIn Ads Library URLs. ## `maxAds` (type: `integer`): Maximum number of output rows to emit. ## `includeLandingPages` (type: `boolean`): If true, the actor will fetch public landing pages referenced by ads to enrich theme and positioning heuristics. ## `suppliedHtml` (type: `array`): Deterministic local or pasted public HTML fixtures. Useful when live public fetches are blocked. ## Actor input object example ```json { "maxAds": 50, "includeLandingPages": false } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("isotonic/linkedin-ads-library-competitive-creative-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 = {} # Run the Actor and wait for it to finish run = client.actor("isotonic/linkedin-ads-library-competitive-creative-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 '{}' | apify call isotonic/linkedin-ads-library-competitive-creative-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=isotonic/linkedin-ads-library-competitive-creative-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Ads Library Competitive Creative Scraper", "description": "Collect public LinkedIn Ads Library creatives and messaging patterns for competitor research, campaign inspiration, and structured creative analysis.", "version": "0.1", "x-build-id": "v95Y7rbIPEArVLWL6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/isotonic~linkedin-ads-library-competitive-creative-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-isotonic-linkedin-ads-library-competitive-creative-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/isotonic~linkedin-ads-library-competitive-creative-scraper/runs": { "post": { "operationId": "runs-sync-isotonic-linkedin-ads-library-competitive-creative-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/isotonic~linkedin-ads-library-competitive-creative-scraper/run-sync": { "post": { "operationId": "run-sync-isotonic-linkedin-ads-library-competitive-creative-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": { "companies": { "title": "Companies", "type": "array", "description": "Company targets. Provide public company names, domains, and/or LinkedIn Ads Library URLs.", "items": { "type": "object", "properties": { "name": { "title": "Company name", "type": "string", "description": "Public advertiser or company name to label extracted ad rows." }, "domain": { "title": "Company domain", "type": "string", "description": "Public company domain used for matching fixtures and deriving a LinkedIn ads library search URL when no URL is provided." }, "adLibraryUrl": { "title": "Public ads library URL", "type": "string", "description": "Public LinkedIn Ads Library URL supplied by the user. No login-only or private URLs are supported." } } } }, "maxAds": { "title": "Max ads", "minimum": 1, "type": "integer", "description": "Maximum number of output rows to emit.", "default": 50 }, "includeLandingPages": { "title": "Include landing pages", "type": "boolean", "description": "If true, the actor will fetch public landing pages referenced by ads to enrich theme and positioning heuristics.", "default": false }, "suppliedHtml": { "title": "Supplied HTML fixtures", "type": "array", "description": "Deterministic local or pasted public HTML fixtures. Useful when live public fetches are blocked.", "items": { "type": "object", "properties": { "name": { "title": "Advertiser name", "type": "string", "description": "Advertiser name associated with this supplied public HTML fixture." }, "domain": { "title": "Advertiser domain", "type": "string", "description": "Advertiser domain associated with this supplied public HTML fixture." }, "sourceUrl": { "title": "Fixture source URL", "type": "string", "description": "Original public URL where the supplied HTML was obtained, if available." }, "html": { "title": "HTML", "type": "string", "description": "Supplied public LinkedIn Ads Library HTML to parse deterministically when live fetches are blocked or unavailable.", "editor": "textarea" } }, "required": [ "html" ] } } } }, "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 } } } } } } } } } } ```