LinkedIn Ad Library Scraper: Competitor Ad Intelligence

Extract LinkedIn ads data to gain competitive intelligence and optimize your campaigns.

What can you learn from your competitors' LinkedIn ads?

📊 Key Data Points

• Ad Content - Titles, descriptions, headlines, and media
• Targeting - Language and location parameters
• Performance - Impression data by country
• Campaign Details - Start and end dates
• Call-to-Action - CTA text and destination URLs
• Real-time Updates - Fresh data daily

🎯 Use It To

📈 Find top performing ads in your industry	🎨 Get creative inspiration that works	👥 Discover untapped audiences

💡 Real Examples

Here's what you'll get for each ad:

1{
2    "adTitle": "Digital Marketing Solutions for Growth",
3    "adDescription": "Transform your digital presence with our comprehensive marketing solutions...",
4    "advertiserProfileUrl": "https://www.linkedin.com/company/example",
5    "advertiserLogoUrl": "https://media.licdn.com/company/logo.jpg",
6    "payingEntity": "Digital Marketing Corp",
7    "descriptionLinks": [
8        {
9            "text": "Learn More",
10            "url": "https://example.com/learn-more"
11        }
12    ],
13    "adMediaUrl": "https://media.licdn.com/ads/example-ad.jpg",
14    "adHeadline": "Boost Your Digital Marketing ROI",
15    "ctaText": "Get Started",
16    "ctaLink": "https://example.com/get-started",
17    "adType": "Single Image Ad",
18    "startDate": "Jan 1, 2024",
19    "endDate": "Mar 1, 2024",
20    "totalImpressions": "50k+",
21    "impressionsByCountry": [
22        {
23            "country": "United States",
24            "percentage": 0.65
25        },
26        {
27            "country": "United Kingdom",
28            "percentage": 0.2
29        }
30    ],
31    "targeting": {
32        "language": ["Targeting includes English"],
33        "location": [
34            "Targeting includes United States",
35            "Targeting includes United Kingdom"
36        ]
37    }
38}

⚡ Quick Setup

1. Enter competitor names or advertisers you want to track
2. Get structured data about their LinkedIn ad campaigns
3. Download as JSON or CSV

🔥 Features

• ✓ Complete ad content and creative assets
• ✓ Geographic targeting data
• ✓ Impression metrics by country
• ✓ Campaign date ranges
• ✓ Media URLs (images and videos)
• ✓ Advertiser details
• ✓ CTA and link tracking

📝 Input Options

Here's a breakdown of the input options you can configure:

1{
2    "companyOrAdvertiser": "salesforce", // Required. Company to track (minimum length 2)
3    "keyword": "CRM", // Optional. Keyword to filter ads (minimum length 2)
4    "country": "US", // Optional. Country to filter ads.
5    "date": "last-30-days", // Optional. Date range to filter ads.
6    "max_ads": 0, // Optional. Maximum number of ads to scrape (0 for all).
7    "maxConcurrency": 4 // Optional. Maximum number of parallel browser instances.
8}

• companyOrAdvertiser (string, required): Name of the company or advertiser whose ads you want to scrape. Minimum length: 2. Example: "Apple".
• keyword (string, optional): Keyword to filter the ads (e.g., product name, campaign theme). Minimum length: 2. Example: "iphone".
• country (string, optional): Select the country where the ads are being shown. If none is selected, all countries will be scraped. Example: "US". Allowed values:
  • "AL", "AF", "AX", "DZ", "AS", "AD", "AO", "AI", "AQ", "AG", "AR", "AM", "AW", "AU", "AT", "AZ", "BS", "BH", "BD", "BB", "BY", "BE", "BZ", "BJ", "BM", "BT", "BO", "BA", "BW", "BV", "BR", "IO", "BN", "BG", "BF", "BI", "KH", "CM", "CA", "CV", "CB", "KY", "CF", "TD", "CL", "CN", "CX", "CC", "CO", "KM", "CG", "CK", "CR", "CI", "HR", "CU", "CY", "CZ", "CD", "DK", "DJ", "DM", "DO", "TP", "EC", "EG", "SV", "GQ", "ER", "EE", "ET", "FK", "FO", "FM", "FJ", "FI", "FR", "GF", "PF", "TF", "GA", "GM", "GE", "DE", "GH", "GI", "GR", "GL", "GD", "GP", "GU", "GT", "GG", "GN", "GW", "GY", "HT", "HM", "HN", "HK", "HU", "IS", "IN", "ID", "IR", "IQ", "IE", "IM", "IL", "IT", "JM", "JP", "JE", "JO", "KZ", "KE", "KI", "KR", "KP", "KO", "KW", "KG", "LA", "LV", "LB", "LS", "LR", "LY", "LI", "LT", "LU", "MO", "MK", "MG", "MW", "MY", "MV", "ML", "MT", "MH", "MQ", "MR", "MU", "YT", "MX", "MD", "MC", "MN", "ME", "MS", "MA", "MZ", "MM", "NA", "NR", "NP", "NL", "AN", "NC", "NZ", "NI", "NE", "NG", "NU", "NF", "MP", "NO", "PK", "PW", "PS", "PA", "PG", "PY", "PE", "PH", "PN", "PL", "PT", "PR", "QA", "RE", "RO", "RU", "RW", "GS", "SH", "KN", "LC", "PM", "VC", "WS", "SM", "ST", "SA", "SN", "RS", "CS", "SC", "SL", "SG", "SK", "SI", "SB", "SO", "ZA", "SS", "ES", "LK", "SD", "OM", "SR", "SJ", "SZ", "SE", "CH", "SY", "TW", "TJ", "TZ", "TH", "TL", "TG", "TK", "TO", "TT", "TN", "TR", "TM", "TC", "TV", "UG", "UA", "AE", "GB", "US", "UY", "UZ", "VU", "VA", "VE", "VN", "VG", "VI", "WF", "EH", "YE", "YU", "ZM", "ZW"
• date (string, optional): Time period for which to fetch ads. Default: "last-30-days". Allowed values:
  • "last-30-days"
  • "current-month"
  • "current-year"
  • "last-year"
• max_ads (integer, optional): Maximum number of ads to scrape. 0 means scrape all available ads. Default: 0.
• maxConcurrency (integer, optional): Maximum number of parallel browser instances. Default: 4.

💪 Built for Scale

• Handles large volumes of ads
• Reliable proxy infrastructure
• Regular updates as ads change
• Clean, structured data output