LinkedIn Ads Scraper

Pricing

$19.99/month + usage

LinkedIn Ads Scraper

LinkedIn Ads Scraper extracts ads from the LinkedIn Ads Library. Capture creatives, formats, copy, impressions, targeting data, timestamps, and advertiser details. Ideal for competitor research, campaign analysis, ad benchmarking, and workflows needing structured LinkedIn ads data.

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

API Empire

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Social media

Automation

Agents

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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
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      "inputSchema": {
        "type": "object",
        "required": [
          "startUrls"
        ],
        "properties": {
          "startUrls": {
            "title": "LinkedIn URLs or Keywords",
            "type": "array",
            "description": "List of LinkedIn company URLs, usernames, or keywords to search for ads (e.g., https://www.linkedin.com/company/example, example-company, or search keyword).",
            "items": {
              "type": "object",
              "required": [
                "url"
              ],
              "properties": {
                "url": {
                  "type": "string",
                  "title": "URL of a web page",
                  "format": "uri"
                }
              }
            }
          },
          "countries": {
            "title": "Countries Filter",
            "type": "string",
            "description": "Country code for filtering ads (default: BR). Use comma-separated values for multiple countries.",
            "default": "BR"
          },
          "dateOption": {
            "title": "Date Range",
            "enum": [
              "last-7-days",
              "last-30-days",
              "last-90-days",
              "last-year",
              ""
            ],
            "type": "string",
            "description": "Date range for filtering ads",
            "default": "last-30-days"
          },
          "sortOrder": {
            "title": "Sort Order",
            "enum": [
              "relevance",
              "date",
              "popularity"
            ],
            "type": "string",
            "description": "Sort order for results (not all options may be available on LinkedIn)",
            "default": "relevance"
          },
          "maxComments": {
            "title": "Maximum Comments",
            "minimum": 0,
            "maximum": 1000,
            "type": "integer",
            "description": "Maximum number of comments to extract per ad (if available). Note: LinkedIn Ads Library may not expose comments.",
            "default": 0
          },
          "maxAds": {
            "title": "Maximum Ads to Scrape",
            "minimum": 1,
            "maximum": 1000,
            "type": "integer",
            "description": "Maximum number of ads to collect per URL/keyword",
            "default": 50
          },
          "proxyConfiguration": {
            "title": "Proxy Configuration",
            "type": "object",
            "description": "Choose which proxies to use. Actor will automatically fallback to datacenter then residential proxy if requests are blocked."
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        }
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              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
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                  },
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                  },
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                    "example": 0
                  }
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                    "example": "latest"
                  },
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                    "type": "integer",
                    "example": 300
                  },
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              },
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}

LinkedIn Ads Scraper OpenAPI definition

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:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

LinkedIn Ads Scraper API in Python

LinkedIn Ads Scraper API in JavaScript

LinkedIn Ads Scraper API through CLI

LinkedIn Ads Scraper API

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