Pricing

$18.00/month + usage

Go to Store

Linkedin Ads Library Scraper

Try for free

Developed by

SASWAVE

The linkedin ads library scraper tool allows you to extract data from https://www.linkedin.com/ad-library/search using multiple type of input. Get data like document transcript, total impressions, date ranges, CTA, advertiser and paying entity ...

0.0 (0)

Pricing

$18.00/month + usage

Total users

196

Monthly users

Runs succeeded

>99%

Issue response

3.8 hours

Last modified

24 days ago

Automation

Error message: "Failed! The main function of the Actor threw an exception."

Opened 3 months ago by sdelange, last comment 3 months ago by sdelange

Why does the search stop at 225 results

Opened 4 months ago by rewarding_onion, last comment 4 months ago by SASWAVE (saswave)

Crawling stops at 66 results

Opened 6 months ago by concombre68, last comment 6 months ago by SASWAVE (saswave)

No data for text based ads

Opened 7 months ago by Kouo-tester, last comment 7 months ago by Kouo-tester

It doesnt find ads for companies that I know have ads when I am using the Linkedin page URL

Opened 7 months ago by Kouo-tester, last comment 7 months ago by SASWAVE (saswave)

LinkedIn Ads Scraper

silva95gustavo/linkedin-ad-library-scraper

Extract ads of any format from LinkedIn Ad Library. Gain access to ad details, ad copy, media URL, call-to-action buttons and more. Dive deeper into the LinkedIn Ad Library for a competitive edge.

Gustavo Silva (Coherent Paradox)

1.4k

LinkedIn Ads Library Scraper

easyapi/linkedin-ads-library-scraper

Effortlessly scrape LinkedIn's Ad Library for comprehensive ad data. Extract company names, ad content, images, and more from multiple search queries. Perfect for competitive analysis, market research, and advertising inspiration. Automate your LinkedIn ad intelligence gathering today!

EasyApi

Fast LinkedIn Ad Library Scraper

aymorato/fast-linkedin-ad-library-scraper

Easily Scrape LinkedIn's Unlimited Scroll Ad Library without the Need for Proxies.

Alwin Morato

LinkedIn Ad Library Scraper

ivanvs/linkedin-ad-library-scraper

Extract details about ads from LinkedIn Ad Library. Scrape ad details like when it was run, ad targeting, advertiser and content of ad. Download ad data in JSON, XML, Excel format.

Ivan Vasiljević

LinkedIn Ads Scraper

ivanvs/linkedin-ads-scraper

Extract details about ads from Linkedin Ad Library. Scrape ad details like when it was run, ad targeting, advertiser and content of ad. Download ad data in JSON, XML, Excel format.

Ivan Vasiljević

Fast LinkedIn Ad Library Scraper (pay per result)

aymorato/fast-linkedin-ad-library-scraper-pay-per-result

Easily Scrape LinkedIn's Unlimited Scroll Ad Library without the Need for Proxies.

Alwin Morato

LinkedIn Ad Library Scraper

xtech/linkedin-adlibrary-scraper

Extract LinkedIn ads data with targeting, performance metrics, and creative content. Monitor competitors' ad strategies, analyze targeting patterns, and track campaign performance. Get structured data for market research and competitive analysis.

Xtech

LinkedIn Ads Scraper 🔍🌍 (Advanced & Cheaper 💰)

scrapestorm/linkedin-ads-scraper-advanced-cheaper

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

Storm_Scraper

Linkedin Ads Scraper

data_xplorer/linkedin-ads-scraper

🔮 Unlock LinkedIn Ads Insights: Transform LinkedIn Ad Library data into structured analytics. Extract comprehensive ad performance, targeting strategies, and campaign metrics with automated calculations. Access real-time advertising intelligence through simple API calls.

Data Xplorer

Linkedin Company Ads

saswave/linkedin-company-ads

The linkedin company ads scraper will help you extract all metadata about every ads a company is running on linkedin For each ads, you have access to the number of likes, comments, shares and more Check our documentation. Enjoy ! and we take any feedback