LinkedIn Ads Scraper

Scrape public LinkedIn Ad Library data with advanced filters and clean JSON output.

This actor is built for growth teams, media buyers, agencies, and competitive intelligence analysts who need reliable ad-level data for research, reporting, and strategy.

Why use this actor

• Discover active and historical LinkedIn ads by keyword.
• Filter by country, company, payer, date range, impressions, and targeting facets.
• Capture ad creatives and advertiser context at scale.
• Optionally enrich each ad with payer and destination landing page.
• Export structured data for BI tools, dashboards, and internal workflows.

Typical use cases

• Competitor ad monitoring and messaging analysis.
• Creative trend tracking by market or vertical.
• Country-by-country ad intelligence for media planning.
• Building ad swipe files and research datasets.
• Client reporting for paid social and B2B demand generation.

Input parameters

Field	Type	Required	Description
maxItems	Integer	Yes	Maximum number of ads to return.
keyword	String	Yes	Keyword or phrase to search in LinkedIn Ad Library.
countries	Array[String]	No	Country filters (country codes, e.g. US, GB, DE).
startDate	String	No	Start date filter (YYYY-MM-DD).
endDate	String	No	End date filter (YYYY-MM-DD).
company	String	No	Filter by advertiser/company name.
payer	String	No	Filter by payer name.
impressionsMinValue	Integer	No	Minimum impressions threshold value.
impressionsMinUnit	String	No	Minimum impressions unit (for example none, thousand, million).
impressionsMaxValue	Integer	No	Maximum impressions threshold value.
impressionsMaxUnit	String	No	Maximum impressions unit.
includedTargetingParameters	Array[String]	No	Include specific targeting facets.
excludedTargetingParameters	Array[String]	No	Exclude specific targeting facets.
fetchDetails	Boolean	No	If true, fetch detail pages and add detailPayer and landingPageUrl.

Supported segmentation facets:

• LANGUAGE
• LOCATION
• AUDIENCE
• DEMOGRAPHIC
• COMPANY
• EDUCATION
• JOB
• INTERESTS_AND_TRAITS

Example input

{
  "maxItems": 200,
  "keyword": "b2b saas",
  "countries": ["US", "GB", "DE"],
  "startDate": "2026-03-01",
  "endDate": "2026-03-15",
  "company": "hubspot",
  "payer": "hubspot",
  "impressionsMinValue": 10,
  "impressionsMinUnit": "thousand",
  "impressionsMaxValue": 1000000,
  "impressionsMaxUnit": "thousand",
  "includedTargetingParameters": ["LANGUAGE", "JOB"],
  "excludedTargetingParameters": ["LOCATION"],
  "fetchDetails": true
}

Example output

{
  "id": "1234567890",
  "detailUrl": "https://www.linkedin.com/ad-library/detail/1234567890",
  "creativeType": "SINGLE_IMAGE",
  "advertiser": "Example Company",
  "advertiserProfileUrl": "https://www.linkedin.com/company/example",
  "headline": "Scale your pipeline",
  "text": "Reach high-intent buyers with better targeting.",
  "ctaLabel": "Learn more",
  "advertiserLogoUrl": "https://media.licdn.com/...",
  "creativeImageUrl": "https://media.licdn.com/...",
  "detailPayer": "Example Holdings, Inc.",
  "landingPageUrl": "https://example.com/campaign"
}

When fetchDetails=false, detailPayer and landingPageUrl are not included.

Performance notes

• fetchDetails=false is fastest and best for broad scans.
• fetchDetails=true enriches records with detailPayer and landingPageUrl, but increases runtime and request volume.

Notes

• Data is collected from publicly accessible LinkedIn Ad Library pages.
• Narrow filters may return few or zero results.