LinkedIn Ad Library Scraper: Full Ads, Reach and Targeting

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LinkedIn Ad Library Scraper at a glance

• Input: Company domains like hubspot.com, company names like HubSpot, or LinkedIn company pages, plus how many ads to return per company.
• Output: one row per ad with 22 fields, including advertiserName, format, headline, cta.
• Price: $3 per 1,000 ads, charged only for results.
• You need: nothing else. No cookies, no logins, no proxies and no API keys.
• Export: JSON, CSV, Excel or XML, or straight into your own tools with the Apify API and MCP.

What is LinkedIn Ad Library Scraper?

Returns the LinkedIn ads a company runs, read from LinkedIn's public Ad Library. Give it a domain, a company name or a LinkedIn company page. Each ad comes with the full copy, headline, button text, landing page, image or video, who paid for it, and, wherever LinkedIn publishes them, the dates it ran, impressions by country and the targeting the advertiser chose. Set how many ads to return per company. Companies with no ads are skipped and not charged. Built for competitor research, account-based sales and B2B ad monitoring.

• Every LinkedIn ad a company runs. Give it a domain, a company name or a LinkedIn page and get its ads, newest first.
• The full ad, not a preview. Complete copy, headline, button text, landing page, image or video for each ad.
• Reach and targeting. Run dates, impressions by country and the targeting the advertiser chose, wherever LinkedIn publishes them.
• Who paid. The paying entity on every ad, which shows when an agency runs the account.

What data can I extract with LinkedIn Ad Library Scraper?

Every result is one row per ad, with these fields:

Field	What it holds
query	The company you asked for
advertiserName	The LinkedIn page that ran the ad
advertiserId	The advertiser's LinkedIn company id
advertiserUrl	The advertiser's LinkedIn page
totalAds	How many ads the library lists for this advertiser
adId	The ad's id in the LinkedIn Ad Library
adUrl	Link to the ad in the LinkedIn Ad Library
format	image, video, document, carousel, message, event, text and so on
body	The full ad copy
headline	The headline under the creative, when there is one
cta	The button text, such as Register or Learn more
clickUrl	Where the ad sends people, when LinkedIn shows it
imageUrl	Link to the ad image
videoUrl	Link to the ad video, for video ads
paidBy	Who paid for the ad, which can be an agency
firstShown	First day the ad ran, when LinkedIn publishes it
lastShown	Last day the ad ran, when LinkedIn publishes it
impressions	Estimated total impressions as a range, such as 10k-20k
impressionsByCountry	Share of impressions per country
targeting	Targeted languages, locations and other segments
targetingParameters	Which targeting types were used or excluded
detailed	false when the ad page could not be read and only the preview is returned

The table view in Apify shows Advertiser, Format, Headline, Button, First shown, Impressions, Creative, Ad. The full record is in the JSON, CSV, Excel and XML exports, and over the API.

How to use LinkedIn Ad Library Scraper

1. Open LinkedIn Ad Library Scraper in the Apify Console. A free Apify account is enough to try it.
2. Paste your companies, one per line, or upload a list.
3. Click Start. Each company is processed on its own, so one bad entry never loses the batch.
4. Download the results as JSON, CSV or Excel, or send them to your own tools with an integration.

Input

One field: companies. Company domains like hubspot.com, company names like HubSpot, or LinkedIn company pages.

A second field, maxAdsPerCompany, caps how many ads are returned for each company, newest first (default 10, at most 500). Every row also carries the total the library reports in totalAds.

Every line is checked before the run starts. Each must be a company name, a domain or a LinkedIn company page; a run with any other line is refused with that line named, so a typo never costs you anything.

{
  "companies": [
    "hubspot.com"
  ],
  "maxAdsPerCompany": 10
}

Output

A company with no ads in the library, or one we cannot match to an advertiser, is skipped and costs nothing. The run log names every one that was skipped, so a short result is never a mystery.

{
  "query": "hubspot.com",
  "advertiserName": "HubSpot",
  "advertiserId": "68529",
  "advertiserUrl": "https://www.linkedin.com/company/68529",
  "totalAds": 2548,
  "adId": "1558773703",
  "adUrl": "https://www.linkedin.com/ad-library/detail/1558773703",
  "format": "image",
  "body": "$1M to $100M ARR in 18 months. Stuart Shingler, Legora, on how fast-growth companies build trust while they innovate. London, 17 November.",
  "headline": "GROW Europe 2026 · London · Register Today",
  "cta": "Register",
  "clickUrl": "https://www.hubspot.com/grow-europe",
  "paidBy": "HubSpot, Inc.",
  "firstShown": "2026-09-23",
  "lastShown": "2026-09-25",
  "impressions": "10k-20k",
  "impressionsByCountry": [
    {
      "country": "United Kingdom",
      "share": "91%"
    },
    {
      "country": "Ireland",
      "share": "9%"
    }
  ],
  "targeting": {
    "language": [
      "English"
    ],
    "location": [
      "Ireland",
      "United Kingdom"
    ]
  },
  "detailed": true
}

How much does LinkedIn Ad Library Scraper cost?

LinkedIn Ad Library Scraper costs $3 per 1,000 ads returned, which is $0.003 each, with no separate compute charge. 10,000 ads cost $30.

• You pay only for results. A company with no ads in the library, or one we cannot match to an advertiser, is skipped and costs nothing.
• Try it on the free plan. On Apify's free plan you get 50 ads from this Actor in total, not per month, to try it out. After that a run stops and asks you to move to a paid Apify plan. Paid plans have no limit. On a paid plan, $5 covers about 1,666 ads.
• Volume discounts. Scale plans pay 5% less per result and Business plans 10% less.
• Cap any run. Set a maximum cost per run in the run options and the Actor stops cleanly when it is reached.

Common use cases

• Competitor research. See the offers, messages and formats a rival puts money behind on LinkedIn.
• Account-based sales. Find companies spending on LinkedIn ads right now, and what they are promoting.
• Creative inspiration. Study the copy and formats that B2B brands keep running.
• Monitoring. Schedule a task to catch new ads from the companies you watch.

Integrate LinkedIn Ad Library Scraper with other apps

LinkedIn Ad Library Scraper works with the integrations on the Apify platform, including Make, Zapier, n8n, Google Sheets, Slack, Airbyte, Google Sheets, HubSpot, Slack. Results can also go anywhere with a webhook when a run finishes.

To keep a list current, save your input as a task and put it on a schedule.

LinkedIn Ad Library Scraper API

Run LinkedIn Ad Library Scraper from your own code with the Apify API clients.

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hydrafetch/linkedin-ad-library-scraper').call({ companies: ["hubspot.com"] });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hydrafetch/linkedin-ad-library-scraper").call(run_input={"companies": ["hubspot.com"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

AI agents can call it too. Connect Claude, Cursor or any MCP client to the Apify MCP server and add hydrafetch/linkedin-ad-library-scraper as a tool.

FAQ

What can I give it?

A domain like hubspot.com, a company name like HubSpot, or a LinkedIn page like linkedin.com/company/hubspot. A LinkedIn page with a number in it gives the most exact match.

Why are dates, impressions or targeting empty on some ads?

LinkedIn publishes those only for some ads, mostly ones shown in the EU. The copy, creative and advertiser are there for every ad.

Does a name match similar companies?

It matches the advertiser whose name fits yours best and returns that one advertiser only, never a mix.

What if a company runs no ads?

It is skipped and you are not charged.

Is there a free trial?

Yes. On Apify's free plan you get 50 ads from this Actor in total to try it, charged to your free Apify credit. After that, runs stop and ask you to move to a paid Apify plan, which has no limit.

Do I need cookies, a login or proxies?

No. LinkedIn Ad Library Scraper works without cookies, accounts, proxies or API keys. Paste your companies and run it; everything else is handled for you.

Is it legal to use LinkedIn Ad Library Scraper?

LinkedIn Ad Library Scraper collects only publicly available ads from LinkedIn's public Ad Library. As with any data collection, you are responsible for how you use the results: follow the terms of the websites you work with and data protection laws such as GDPR wherever personal data is involved. If you are unsure about your use case, check with a lawyer.

Does LinkedIn Ad Library Scraper have an API?

Yes. Every run is available through the Apify API, with the JavaScript and Python examples above, and through the Apify MCP server for AI agents.

Other Actors by Hydrafetch

• Company Enrichment API: give it domains and get a full company record for each: name, legal name, tagline, description, logo, brand colors, fonts, industry with NAICS code, email and social profiles. Input: domains like stripe.com. One row per company; domains that return nothing are not charged.
• Bulk Company Logo Finder: give it domains and get a direct image URL for each company's logo, with its format, width, height, dominant color and whether it is an icon or a wordmark. Input: domains like stripe.com. One row per company; domains with no logo found are not charged.
• Website Color Palette Extractor: give it domains and get each site's design as tokens: colors by role, fonts, type scale, radius, shadows and spacing, plus a paste-ready CSS stylesheet and Tailwind CSS v4 theme to restyle an app like it. Input: domains like linear.app. One row per site; failures are not charged.
• AI SEO & GEO Audit: give it page URLs and find out whether LLMs and AI agents can read them: a score out of 100, every check passed, warned or failed, the specific fixes, and a sample of the markdown an agent would see. Input: full URLs. One row per URL; pages we cannot read are not charged.
• Website to Markdown: give it URLs and get each page as clean markdown for LLMs, RAG and AI agents, with navigation, cookie banners and ads removed and JavaScript pages rendered. Input: full URLs. Each row has the markdown, title, language and word count; pages that return nothing are not charged.
• Article Extractor: give it article or blog post URLs and get the full text with its title, author, publish date, site name, language, lead image and word count. Input: full URLs. One row per article; pages with no article to extract are not charged.
• Company Social Links Finder: give it company domains or names and get the social profiles each company links from its own website: LinkedIn, X, Facebook, Instagram, YouTube, TikTok, GitHub and Crunchbase, with handles. Input: domains like stripe.com or names like "Acme Corp, Germany". Companies with none are not charged.
• LinkedIn Company Scraper: give it LinkedIn company page URLs or company domains and get the public profile: industry, company size, employees on LinkedIn, followers, headquarters address, founded year, specialties and logo. No login needed. One row per company; companies we cannot find are not charged.
• Tech Stack Detector: give it domains and get the technology each site runs: CMS, ecommerce platform, analytics, tag managers, JavaScript frameworks, hosting, web server, payments, marketing automation and live chat. Input: domains like stripe.com. One row per site; sites we cannot read are not charged.
• PDF to Markdown: give it links to PDF files and get each document as clean markdown with headings and tables intact, plus its title and word count, ready for LLMs, RAG and search. Input: full URLs to PDFs. One row per PDF; files we cannot read are not charged.
• Website Crawler to Markdown: give it a start URL and get the site or docs section crawled into clean markdown, one row per page with its title, language, page type, depth and word count. Input: full URLs, plus how many pages to read per site. Charged per page returned; pages that return nothing are free.
• Company Jobs Scraper: give it company domains and get every open job from the hiring platform each company uses: title, team, location, remote status, employment type, pay when listed, posting date, apply link and full description. Input: domains like stripe.com. Companies with no open roles found are not charged.
• YouTube Transcript Scraper: give it YouTube links or video ids and get each video's full transcript, as plain text and as timestamped segments, with the title, channel and word count. Input: youtube.com or youtu.be links, or 11 character ids. One row per video; videos without a transcript are not charged.
• Google Ads Library Scraper: give it company domains and get the Google ads each company runs, from the public Ads Transparency Center: advertiser, format, image, preview link and first and last shown dates. Input: domains like stripe.com, plus how many ads per domain. One row per ad; domains with no ads are not charged.
• Facebook Ads Library Scraper: give it brand names, domains, Facebook pages or Ad Library links and get the ads each runs on Facebook and Instagram: copy, images, videos, carousel cards, platforms, start and end dates and active status. One row per ad; brands with no ads, or none we can match, are not charged.
• Website Contact Details Scraper: give it company domains or names and get the emails, phone numbers, social profiles and postal address each company publishes on its own website. Input: domains like stripe.com, or names like "Acme Corp, Germany". One row per company; companies with no contact details are not charged.
• App Store and Google Play Scraper: give it App Store or Google Play links, Apple app ids or package names and get app details plus its newest reviews: rating, rating count, installs, version, then each review's text, stars, date and developer reply. One row per review; apps not found or with no reviews are not charged.
• Trustpilot Reviews Scraper: give it company domains and get each company's Trustpilot TrustScore, star breakdown and total reviews, plus its newest reviews with rating, text, dates and the company's reply, without reviewer names. Input: domains like stripe.com. One row per review; companies not on Trustpilot are not charged.
• Shopify Store Products Scraper: give it Shopify store domains and get every product: title, price range, currency, variants with SKUs and stock, options, images, vendor, type, tags and description, including stores that hide their product feed. One row per product; stores with no readable products are not charged.
• LinkedIn Jobs Scraper: search LinkedIn jobs with terms like "data engineer" or a jobs search link, filtered by location, date posted, workplace, job type and experience, and get each posting with company, pay, applicants, seniority and full description. No login needed. Searches with no jobs are not charged.
• Google Maps Scraper with Emails: search Google Maps with a phrase like "dentists in Berlin" or a Maps link and get every place: name, address, phone, website, rating, reviews and coordinates, up to 120 per search. Turn on contacts to add emails and socials from each place's own website, charged only when found.
• Amazon Product Scraper: search Amazon.com with terms like "wireless earbuds", or give it product links or ASINs, and get each product's US price, rating, review count, sales in the past month and seller, with the full product page on request. One row per product; searches with no products are not charged.
• News Scraper with Full Article Text: search the news for any topic, like "stripe funding", and get recent articles with their full text as clean markdown, the real publisher link, source, author and publish date. Input: search queries, plus how many articles and how far back. Queries with no readable articles are not charged.
• Company Ads Across Google, LinkedIn and Meta: give it company domains and get the ads each company runs on Google, LinkedIn and Facebook and Instagram in one dataset with the same columns: platform, headline, copy, call to action, image or video, link and dates. One row per ad; domains with no ads anywhere are not charged.
• Company Website Finder: give it company names, optionally with the country after a comma, and get each company's official website and domain, checked against the company's own homepage so directories never slip through, with a confidence level. One row per company; names we cannot confirm are not charged.
• Google Trends Scraper: give it search terms and get Google Trends data: interest over time with a 0 to 100 value per point, interest by country or region, and top and rising related queries. Input: one search per line, up to 5 comma-separated terms to compare. Searches with no data are not charged.
• Reddit Scraper: give it a subreddit like r/startups, a user, a post link or words to search Reddit, and get posts with title, author, subreddit, score, comment count, date, flair, link and full text. Input: one per line, with sort, time window and up to 500 posts each. Inputs with no posts are not charged.
• Booking.com Reviews Scraper: give it Booking.com hotel links and get the newest guest reviews: score, date, title, what guests liked and disliked, language, country, room type, nights and check-in date, with the hotel name and overall score on every row. One row per review; hotels with no reviews are not charged.
• Website Screenshot API: give it URLs and get a screenshot of each page as a hosted PNG link, of the first screen or the full page, rendered in a real browser, with its width and height. Input: full URLs. One row per screenshot; pages that fail to load are not charged.

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