Linkedin Ads Scraper
Pricing
$19.99/month + usage
Linkedin Ads Scraper
Pricing
$19.99/month + usage
Rating
0.0
(0)
Developer
ScrapeMesh
Actor stats
0
Bookmarked
2
Total users
0
Monthly active users
5 days ago
Last modified
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Linkedin Ads Scraper
Pricing
$19.99/month + usage
Pricing
$19.99/month + usage
Rating
0.0
(0)
Developer
ScrapeMesh
Actor stats
0
Bookmarked
2
Total users
0
Monthly active users
5 days ago
Last modified
Categories
Share
You can access the Linkedin Ads Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.2", "x-build-id": "IBynwe5OiFBl9giJl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemesh~linkedin-ads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemesh-linkedin-ads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/scrapemesh~linkedin-ads-scraper/runs": { "post": { "operationId": "runs-sync-scrapemesh-linkedin-ads-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/scrapemesh~linkedin-ads-scraper/run-sync": { "post": { "operationId": "run-sync-scrapemesh-linkedin-ads-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": { "input": { "title": "🔍 Companies or keywords to search", "type": "array", "description": "Add company names, LinkedIn URLs, or keywords (e.g. google, microsoft). If you fill this, Start URLs below are ignored.", "items": { "type": "string" } }, "startUrls": { "title": "🔗 Start URLs (alternative)", "type": "array", "description": "LinkedIn company URLs or keywords. Used when 'Companies or keywords' above is empty.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "countries": { "title": "🌍 Country filter", "enum": [ "US", "GB", "CA", "AU", "DE", "FR", "BR", "IN", "JP", "CN", "MX", "ES", "IT", "NL", "PL", "SE", "CH", "AE", "SG", "KR", "ALL", "AF", "AL", "DZ", "AR", "AM", "AT", "AZ", "BH", "BD", "BE", "BO", "BA", "BW", "BG", "CL", "CO", "CR", "HR", "CY", "CZ", "DK", "EC", "EG", "EE", "FI", "GR", "HK", "HU", "IS", "ID", "IE", "IL", "JO", "KZ", "KE", "KW", "LV", "LB", "LT", "LU", "MY", "MT", "MA", "NZ", "NO", "PK", "PE", "PH", "PT", "QA", "RO", "RU", "SA", "RS", "SK", "SI", "ZA", "TH", "TR", "UA", "UY", "VN" ], "type": "string", "description": "Which country's ads to show.", "default": "US" }, "dateOption": { "title": "📅 When were the ads active?", "enum": [ "last-7-days", "last-30-days", "last-90-days", "last-year", "this-month", "this-year", "" ], "type": "string", "description": "Time range for ads. We also try last 30 days and this month for better coverage.", "default": "last-30-days" }, "maxItems": { "title": "📊 How many ads to collect", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap on total ads to scrape (1–1000).", "default": 30 }, "proxyConfiguration": { "title": "🛡️ Proxy (optional)", "type": "object", "description": "Turn on Apify Proxy here if you hit blocks or want residential IPs." } } }, "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 } } } } } } } } }}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 Ads Scraper from the options below:
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