![LinkedIn Ad Library & Competitor Ad Spy Scraper [No Cookies] avatar](https://images.apifyusercontent.com/L6_jz5f9XYWqKsxxuY7-Zw9tRi-UScGu_x4LxWqpftI/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vTUhMZWhhdFJEeUhyU1E0N0gtYWN0b3ItMlVSSzdLWFFMbXVFbmJVUmMtMkxXU0lIcnA0Ti1saW5rZWRpbi1sb2dvLWxpbmtlZGluLWxvZ28tdHJhbnNwYXJlbnQtbGlua2VkaW4taWNvbi10cmFuc3BhcmVu.webp){kind=avatar}
LinkedIn Ad Library & Competitor Ad Spy Scraper [No Cookies]
Pricing
from $2.00 / 1,000 verified competitor ads
Scrape competitor LinkedIn ads without cookies or login. Uncover winning ad creatives, copy, headlines, CTA URLs, longevity scores & UTM tracking.
You can access the LinkedIn Ad Library & Competitor Ad Spy Scraper [No Cookies] programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "otZeEs6do5NEmmdTE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation_studio~linkedin-ad-library-competitor-spy/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation_studio-linkedin-ad-library-competitor-spy", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/automation_studio~linkedin-ad-library-competitor-spy/runs": { "post": { "operationId": "runs-sync-automation_studio-linkedin-ad-library-competitor-spy", "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/automation_studio~linkedin-ad-library-competitor-spy/run-sync": { "post": { "operationId": "run-sync-automation_studio-linkedin-ad-library-competitor-spy", "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": [ "companies", "maxAds" ], "properties": { "companies": { "title": "๐ข Target Competitor Companies", "type": "array", "description": "Enter competitor company names or LinkedIn page URLs (e.g., 'hubspot', 'slack', 'salesforce', 'mondaydotcom', 'https://www.linkedin.com/company/hubspot').", "default": [ "hubspot" ], "items": { "type": "string" } }, "keywords": { "title": "๐ Search Keywords / Ad Topics (Optional)", "type": "array", "description": "Optional: Filter for specific keywords appearing in ad headlines or body copy (e.g., 'AI agent', 'demo', 'free trial', 'whitepaper'). Leave empty to capture all ads.", "default": [], "items": { "type": "string" } }, "country": { "title": "๐ Target Geography / Country Filter", "enum": [ "ALL", "US", "GB", "CA", "AU", "DE", "FR", "NL", "ES", "IT", "IN", "SG" ], "type": "string", "description": "Filter ads served to a specific geographic market. Mandated by transparency disclosure laws.", "default": "ALL" }, "onlyEvergreen": { "title": "๐ฅ Only Long-Running Winning Ads (30+ Days Active)", "type": "boolean", "description": "When enabled, filters out short-term ad tests and returns ONLY verified profitable ads running continuously for 30 days or longer.", "default": false }, "fastMode": { "title": "โก Turbo Mode (Scrape in ~15 Seconds)", "type": "boolean", "description": "Extract competitor ads at maximum speed without waiting for individual landing page redirects. Returns headlines, ad copy, images, and ad library links in seconds.", "default": false }, "maxAds": { "title": "๐ Max Total Ads to Extract", "minimum": 5, "maximum": 2000, "type": "integer", "description": "Maximum number of ad creatives to collect in this run. Default is set to 10 for rapid test execution.", "default": 10 }, "webhookUrl": { "title": "๐ Discord / Slack Webhook Alert (Optional)", "type": "string", "description": "Optional: Enter a Discord or Slack Webhook URL to receive instant notification summaries when new competitor ads are discovered." }, "proxyConfiguration": { "title": "๐ก๏ธ Proxy Configuration", "type": "object", "description": "Use Apify Proxy to guarantee 100% extraction uptime, eliminate rate limits, and bypass regional blocks.", "default": { "useApifyProxy": false } } } }, "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 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for LinkedIn Ad Library & Competitor Ad Spy Scraper [No Cookies] from the options below:
If youโd like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: