How to Scrape LinkedIn Ad Library Search Results with Swift

Extract search data from LinkedIn Ad Library

🍎 Using Swift

Overview

Learn how to scrape LinkedIn Ad Library search results using Swift. This comprehensive guide will walk you through the entire process, from setup to implementation.

What You'll Learn

  • • Setting up your development environment
  • • Installing the required HTTP client
  • • Authenticating with the ScrapeCreators API
  • • Making requests to LinkedIn Ad Library
  • • Handling responses and errors
  • • Best practices for production use

What You'll Get

  • • Access to search results data
  • • JSON formatted responses
  • • Real-time data access
  • • Scalable solution
  • • Error handling patterns
  • • Performance optimization tips

Prerequisites

1. API Key

First, you'll need a ScrapeCreators API key to authenticate your requests.

Sign up at app.scrapecreators.com to get your free API key with 100 requests.

2. Development Environment

Make sure you have the following installed:

  • • Swift and its dependencies
  • • A code editor (VS Code, Sublime, etc.)
  • • Basic understanding of API requests
  • • Command line interface access

Step 1: Install HTTP Client

Alamofire is an HTTP networking library for Swift

swift package
swift package add Alamofire

Step 2: API Implementation

Now let's make a request to the LinkedIn Ad Library API using Swift. Replace YOUR_API_KEY with your actual API key.

Swift
import Foundation

class Scraper {
private static let API_KEY = "YOUR_API_KEY"
private static let BASE_URL = "https://api.scrapecreators.com"
private static let ENDPOINT_PATH = "/v1/linkedin/ads/search"
static func scrape(completion: @escaping (Result<String, Error>) -> Void) {
// Build query parameters
var components = URLComponents(string: BASE_URL + ENDPOINT_PATH)!
components.queryItems = [
URLQueryItem(name: "company", value: "microsoft"),
URLQueryItem(name: "keyword", value: "scraping"),
URLQueryItem(name: "countries", value: "US,CA,MX"),
URLQueryItem(name: "startDate", value: "2024-01-01"),
URLQueryItem(name: "endDate", value: "2024-01-10"),
URLQueryItem(name: "paginationToken", value: "640547184-1743616612000")
]
guard let url = components.url else {
completion(.failure(NSError(domain: "Invalid URL", code: -1, userInfo: nil)))
return
}
var request = URLRequest(url: url)
request.setValue(API_KEY, forHTTPHeaderField: "x-api-key")
URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
completion(.failure(error))
return
}
guard let data = data else {
completion(.failure(NSError(domain: "No data", code: -1, userInfo: nil)))
return

Step 3: Testing Your Code

API Parameters

This endpoint accepts the following parameters:

companyOptional(string)

The company name to search for. 'Microsoft' for example

Example: microsoft

keywordOptional(string)

The keyword to search for

Example: scraping

countriesOptional(string)

Comma separated list of countries. Example: US,CA,MX

Example: US,CA,MX

startDateOptional(string)

Start date to search for. Format: YYYY-MM-DD

Example: 2024-01-01

endDateOptional(string)

End date to search for. Format: YYYY-MM-DD

Example: 2024-01-10

paginationTokenOptional(string)

Pagination token to paginate through results

Example: 640547184-1743616612000

Run Your Code

Execute your script to test the API connection. You should see a JSON response with LinkedIn Ad Library search results data.

✅ Success: You should receive a structured JSON response containing the requested data.

Expected Response

Here's an example of the JSON response you'll receive:

Sample Response
{
"success": true,
"ads": [
{
"id": "823975056",
"description": "The countdown has begun – grab your discounted tickets now for #FabConEurope in Vienna!\nJoin us for an unforgettable experience filled with deep learning, expert insights, and top-tier networking opportunities.\n\nRegister today and be part of the future of innovation: http://msft.it/6043sMFt3 \n\n#MicrosoftFabric",
"headline": null,
"poster": "Microsoft",
"posterTitle": "Promoted",
"promotedBy": null,
"targeting": {
"language": "Targeting includes English",
"location": "Targeting includes Netherlands",
"company": "Exclusion targeting applied"
},
"image": "https://media.licdn.com/dms/image/v2/D5610AQH8f223ANJdoQ/image-shrink_1280/B56ZiDa0MFHkAQ-/0/1754551502346?e=2147483647&v=beta&t=ZuZ0zUs1KInS8ysVO7FxzmlzxHP9B_JX2b6kdMU8GT4",
"video": null,
"carouselImages": [],
"adType": "Single Image Ad",
"advertiser": "Microsoft",
"advertiserLinkedinPage": "https://www.linkedin.com/company/1035",
"cta": null,
"destinationUrl": "http://msft.it/6043sMFt3?trk=ad_library_ad_preview_headline_content",
"adDuration": "Ran from Aug 10, 2025 to Aug 10, 2025",
"startDate": "2025-08-10T05:00:00.000Z",
"endDate": "2025-08-10T05:00:00.000Z",
"totalImpressions": "< 1k",
"impressionsByCountry": []
},
{
"id": "756473943",
"description": "Tailor your language with Microsoft 365 Copilot Chat so your message connects with any audience.",
"headline": "Speak to your audience with Microsoft 365 Copilot Chat.",
"poster": "Microsoft 365",
"posterTitle": "Promoted",
"promotedBy": null,

Verify Response Structure

Check that your response includes the expected fields:

  • ✓success(boolean)
  • ✓ads(object)
  • ✓paginationToken(string)
  • ✓isLastPage(boolean)

Best Practices

1

Error Handling

Implement comprehensive error handling and retry logic for failed requests. Log errors properly for debugging.

2

Caching

Cache responses when possible to reduce API calls and improve performance. Consider data freshness requirements.

3

Security

Never expose your API key in client-side code. Use environment variables and secure key management practices.

Performance Tips

Batch Requests

When scraping multiple search results, consider batching requests to maximize throughput while staying within rate limits.

Async Processing

Use asynchronous processing in Swift to handle multiple requests concurrently and improve overall performance.

Common Use Cases

Market Research

Analyze LinkedIn Ad Library search results to understand market trends, competitor analysis, and audience insights.

Content Analytics

Track performance metrics, engagement rates, and content trends across LinkedIn Ad Library search results.

Lead Generation

Identify potential customers and business opportunities throughLinkedIn Ad Library data analysis.

Troubleshooting

Common Errors

401 Unauthorized

Check your API key is correct and properly formatted in the x-api-key header.

402 Payment Required

You ran out of credits and need to buy more.

404 Not Found

The resource might not exist or be private.

500 Server Error

Temporary server issue. Implement retry logic with exponential backoff.

Frequently Asked Questions

How much does it cost to scrape LinkedIn Ad Library search results?

ScrapeCreators offers 100 free API calls to get started. After that, pricing starts at $10 for 5k requests with volume discounts available.

Is it legal to scrape LinkedIn Ad Library data?

Scraping publicly available data is fair game, and we only collect public data. So anything that you can see in an incognito browser is what we collect.

How fast can I scrape LinkedIn Ad Library search results?

There is no rate limit! So you can scrape as fast as you want!

What data format does the API return?

All API responses are returned in JSON format, making it easy to integrate with any programming language or application.

Can I use this with other Swift frameworks?

Yes! This tutorial focuses on core Swift HTTP concepts that work with any framework. The API calls remain the same regardless of your specific Swift setup.

How do I handle large datasets?

For large datasets, implement pagination, use streaming responses where available, and consider storing data in a database for efficient querying.

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