LinkedIn Ads Scraper 🔍🌍 (Advanced & Cheaper 💰) avatar

LinkedIn Ads Scraper 🔍🌍 (Advanced & Cheaper 💰)

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LinkedIn Ads Scraper 🔍🌍 (Advanced & Cheaper 💰)

LinkedIn Ads Scraper 🔍🌍 (Advanced & Cheaper 💰)

scrapestorm/linkedin-ads-scraper-advanced-cheaper
Try for free

2 hours trial then $9.90/month - No credit card required now

Looking for a LinkedIn ads scraper to fetch sponsored ad details? 🔍 With the LinkedIn Ads Scraper 🚀, easily collect ad listings based on keywords, companies, locations & more. Retrieve details like advertiser names, ad headlines, commentary, image URLs, event dates, and links to detailed ad pages

Developer
Maintained by Community

Actor Metrics

  • 1 monthly user

  • 5.0 / 5 (1)

  • 1 bookmark

  • >99% runs succeeded

  • Created in Mar 2025

  • Modified 4 days ago

LinkedIn Ads Scraper (Fast & Affordable) 🚀

🚨 The LinkedIn Ads Scraper allows you to easily retrieve sponsored ad listings from LinkedIn based on a specific keyword, company, country, and date range. Simply provide a keyword, company, country, and date, and we’ll extract the detailed ad data for you! 💪

The LinkedIn Ads Scraper is designed to extract ad listing data from LinkedIn's Sponsored Content platform based on a specific keyword (such as AI, marketing, etc.), company, country, and date range. By providing these details, you can retrieve:

1Advertiser Name 🏢
2
3Creative Type (e.g., Sponsored Status Update) 🖼️
4
5Commentary Text 📣
6
7Image URL 🌄
8
9Event Date 📅
10
11Headline 📰
12
13Description 📄
14
15Details Link 🌐
16
17And much more! 🔍

Key Features ✨🚀

  • LinkedIn Ad Listings Extraction for specific keywords, companies, countries, and date ranges 🔍

  • Customizable Output Formats (JSON, CSV, XML, HTML Table) 📊⚙️

  • Fast and Efficient ⚡

  • Complete Ad Data (headline, commentary, image URL, advertiser, and more) 📝

🛠️ How It Works:

  1. Enter Your Data: Provide the search keyword (e.g., "AI"), company (e.g., "Nvidia"), country ("All 🌍" for all countries), and date range (e.g., "Any").

  2. Start Scraping: Click on "Start" to begin the ad extraction process.

  3. Scraper Executes: The scraper navigates through LinkedIn Ads, collects the ad listing data, and stores it.

  4. Download Your Data: Once the extraction is complete, you can download the results in your desired format (JSON, CSV, XML, HTML Table, etc.).

Why Use the LinkedIn Ads Scraper? ✨🚀

  • Save Time: Quickly gather sponsored ads data for specific keywords, companies, and countries without manually searching LinkedIn ads 🕒

  • Market Insights: Analyze the trends in LinkedIn advertising, find top-performing companies, and study the best practices 💡

  • Ad Performance Optimization: Compare and identify successful ad strategies to improve your LinkedIn ad campaigns 📈

  • Competitor Research: Gather insights on competitors' ads to refine your marketing strategy 👨‍💼📊

  • SEO Optimization: Use ad listing data to improve your website’s SEO and content strategy 📈

💸 Pricing

This scraper operates on a pay-per-month basis at a cost of $9.90/month.

If you're interested in other scraping agents from YouTube or social media scraping solutions, check out these related actors:


LinkedIn Ads Scraper Input & Output 🛠️📊

Input Format 💡

To use the LinkedIn Ads Scraper, you need to provide the following input:

1{
2    "keyword": "ai",
3    "company": "nvidia",
4    "country": "All 🌍",
5    "date": "Any", 
6    "maxitems": 150
7}
  • keyword: The keyword to search for in the ads (e.g., "AI", "marketing").

  • company: The company running the ads (e.g., "Nvidia").

  • country: The country where the ads are shown (e.g., "All 🌍" for all countries).

  • date: The date range for the ads (e.g., "Any", "Last 30 days", "This month").

  • maxitems: The maximum number of ad listings you want to retrieve (e.g., 150).

Output Format 📈

Once the scraper completes the extraction, it will return detailed ad listings in your chosen format (JSON, CSV, XML, HTML Table, etc.). Below is an example of the output in JSON format:

1[
2    {
3        "creative_type": "SPONSORED_STATUS_UPDATE",
4        "advertiser_logo": "https://media.licdn.com/dms/image/v2/D560BAQGV36q2EowSyw/company-logo_100_100/company-logo_100_100/0/1724881581208/nvidia_logo?e=2147483647&v=beta&t=oCxt8kGhi0AfLuVDY7D_jzkUIEe-fAV5Q5eLaRxXzOE",
5        "advertiser_logo_alt": "advertiser logo",
6        "advertiser_name": "NVIDIA",
7        "sponsored_text": "Sponsoris\u00e9",
8        "commentary": "See how executives across industries are creating real-world impact with AI. Secure your spot now for NVIDIA GTC.",
9        "commentary_links": "N/A",
10        "image_url": "https://media.licdn.com/dms/image/v2/D5610AQE8lv0HhiPLcw/image-shrink_1280/image-shrink_1280/0/1738015589090/gtc25-business-leader-meta-x3-1080x1080png?e=2147483647&v=beta&t=ow2uJFj7_EFjHRN9qrFvyUBI_D5l2RjptdUYaVHWz_M",
11        "image_alt": "Must Attend AI Business Strategy Talks",
12        "headline": "Must Attend AI Business Strategy Talks",
13        "description": "March 17-21",
14        "event_date": "March 17-21",
15        "details_link": "https://www.linkedin.com/ad-library/detail/627715666",
16        "content_type": "image"
17    }
18]

Explanation of Output Fields 🔬

1creative_type: The type of creative for the ad (e.g., Sponsored Status Update).
2
3advertiser_logo: The URL for the advertiser's logo.
4
5advertiser_logo_alt: Alt text for the advertiser's logo.
6
7advertiser_name: The name of the company or advertiser.
8
9sponsored_text: Indicates if the ad is sponsored.
10
11commentary: The text description or commentary of the ad.
12
13commentary_links: Links associated with the commentary (if any).
14
15image_url: The URL for the image used in the ad.
16
17image_alt: Alt text for the image.
18
19headline: The headline of the ad.
20
21description: The description of the ad.
22
23event_date: Date of the event related to the ad (if applicable).
24
25details_link: The link to the full ad details.
26
27content_type: The type of content in the ad (e.g., image, video).

📫 Support

😊 Leave us a ⭐⭐⭐⭐⭐ if you are satisfied with the product! 🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️