LinkedIn Ads Scraper πŸ”πŸŒ (Advanced & Cheaper πŸ’°)

LinkedIn Ads Scraper πŸ”πŸŒ (Advanced & Cheaper πŸ’°)

Looking for a LinkedIn ads scraper to fetch sponsored ad details? πŸ” With the LinkedIn Ads Scraper πŸš€, 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

SOCIAL_MEDIALEAD_GENERATIONECOMMERCEApify

LinkedIn Ads Scraper (Fast & Affordable) πŸš€

🚨 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! πŸ’ͺ

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) πŸ–ΌοΈ
4
5Commentary Text πŸ“£
6
7Image URL πŸŒ„
8
9Event Date πŸ“…
10
11Headline πŸ“°
12
13Description πŸ“„
14
15Details Link 🌐
16
17And much more! πŸ”

Key Features βœ¨πŸš€

  • LinkedIn Ad Listings Extraction for specific keywords, companies, countries, and date ranges πŸ”

  • Customizable Output Formats (JSON, CSV, XML, HTML Table) πŸ“Šβš™οΈ

  • Fast and Efficient ⚑

  • Complete Ad Data (headline, commentary, image URL, advertiser, and more) πŸ“

πŸ› οΈ 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? βœ¨πŸš€

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

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

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

  • Competitor Research: Gather insights on competitors' ads to refine your marketing strategy πŸ‘¨β€πŸ’ΌπŸ“Š

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

πŸ’Έ 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 πŸ› οΈπŸ“Š

Input Format πŸ’‘

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 πŸ“ˆ

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 πŸ”¬

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).

πŸ“« 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 πŸŒͺ️🌩️

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool β€” just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!