Pricing

from $4.99 / 1,000 results

LinkedIn Ad Library Scraper

A fast, high-performance scraper built for lead generation, competitor analysis, and business intelligence. Extracts detailed business profiles, including name, contact details, emails, phone numbers, location, ratings, and reviews from LinkedIn. Supports custom search URLs, proxy rotation, and p...

Pricing

from $4.99 / 1,000 results

Rating

0.0

(0)

Developer

codingfrontend

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Features

Search LinkedIn Ad Library by keyword or advertiser name
Filter ads by country/region
Extract advertiser names, ad text, dates, impressions, and media type
Automatic scrolling to load lazy-loaded results
Pagination support for multi-page results
Proxy support (residential proxies recommended)

Input

Field	Type	Default	Description
`query`	string	`"Google"`	Keyword or advertiser name to search for
`maxItems`	integer	`50`	Maximum number of ad results to scrape (1–5000)
`country`	string	`"US"`	Country code to filter ads by (e.g. US, GB, IN, DE)
`proxyConfiguration`	object	Apify Residential	Proxy settings for the scraper

Example Input

{
    "query": "Google",
    "maxItems": 10,
    "country": "US"
}

Output

Each scraped ad contains:

Field	Type	Description
`position`	integer	Result position index
`advertiserName`	string	Name of the advertiser
`adText`	string	Text content of the ad
`startDate`	string	Date the ad started running
`endDate`	string	Date the ad stopped running
`impressions`	string	Impression count or range
`link`	string	URL to the ad entry in LinkedIn Ad Library
`mediaType`	string	Type of ad creative (Text, Image, Video)
`query`	string	The search query used
`country`	string	The country filter used
`scrapedAt`	string	ISO timestamp of when the data was scraped

Example Output

{
    "position": 1,
    "advertiserName": "Google",
    "adText": "Build what's next with Google Cloud. Get started free.",
    "startDate": "Jan 2025",
    "endDate": "",
    "impressions": "100K-500K",
    "link": "https://www.linkedin.com/ad-library/detail/12345",
    "mediaType": "Image",
    "query": "Google",
    "country": "US",
    "scrapedAt": "2025-01-25T10:30:00.000Z"
}

Usage

Apify Console

Go to the actor's page on Apify Console
Set the input parameters
Click "Start"

API

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('your-username/linkedin-ad-library-scraper').call({
    query: 'Google',
    maxItems: 50,
    country: 'US',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Local Development

npm install
npm start

Project Structure

src/
├── main.js              # Actor entry point — reads input, configures crawler
├── constants.js         # Shared constants (URLs, scroll limits)
├── routes.js            # Crawler route handlers (SEARCH)
└── utils/
    └── extraction.js    # Ad data extraction from page DOM

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