LinkedIn Ad Library: scrapers and the official API, compared

Route map

Each line is one way to get LinkedIn Ad Library data; each stop is a field you probably need. Green lines are catalogue Actors, ranked by the published formula.

Field matrix: who returns what

Every tool with a published output schema, against the 5 fields most LinkedIn Ad Library jobs need. A dot means the field name appears in the schema; rows can still leave it empty.

Field dictionary: the exact keys

The same core field has a different key in each Actor's output. Map these before you merge datasets; a dash means the published schema has no matching key. Need a field that is not listed here, such as email? Search every LinkedIn Ad Library Actor by field.

Download this comparison: CSV · JSON (every tool with a published schema, matching keys per core field, price and score).

All 9 tools, scored

Catalogue Actors link to their detail pages; the score (0 to 100) is the published formula, identical for every tool. Other Store tools follow in their own table, for reference. Price is the published primary-result rate per 1,000 (the Free-plan rate where the price is tiered; higher Apify plans pay less); start events and platform usage are excluded.

Other Store tools, for reference

Scored with the same published formula and listed for comparison only; this site does not link or recommend them.

What to check before you choose

Teams use LinkedIn Ad Library records to compare advertiser messaging, track campaign themes and collect creative references. Keeping ad copy alongside advertiser names and campaign dates makes those records easier to compare across searches. Advertiser searches suit research into known companies, while keyword searches help investigate a topic across advertisers. Choose a route that returns creative links for a visual archive or targeting details for audience research.

Checklist

• Check how advertiser_name, body_text and start_date map to your destination columns; headline alone may not capture the copy you need.
• For creative collection, look for image_urls and video_urls, then check whether the returned links lead to usable media.
• For geographic analysis, distinguish country from impressions_by_country and targeting_location_included; these describe different aspects of an ad.

Where the data is incomplete

The published schema lists body_text_full, targeting_parameters and media links. Check returned records before making any of these mandatory in a downstream workflow.

Likewise, start_date and end_date need clear interpretation before you use them to describe a campaign's full history.

Official API route

Terms and personal data

Review LinkedIn's user agreement and access controls, and use transparency records for research with attribution. This is general information, not legal advice.

Read LinkedIn Ad Library's terms. Keep to public data, do not bypass logins or access controls, and check whether personal data is involved before you collect it. The can-I-scrape checklist walks through it.

How to start

1. Use a narrow advertiser or keyword query where supported, following the listing's input instructions.
2. Review the resulting dataset for advertiser identity, complete copy, campaign dates and usable creative links before expanding the search.

Call LinkedIn Ad Library Keyword & Advertiser Scraper from code

The example input uses the Actor's published defaults; set your own LinkedIn Ad Library query before you run it. You need an Apify API token.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "search",
    "searchTerms": [],
    "advertisers": [],
    "companyIds": [
        "1035"
    ],
    "companyUrls": [],
    "payer": [],
    "advertiserMatch": "startsWith",
    "countries": [],
    "dateOption": "last-30-days",
    "sortOrder": "newest",
    "impressionsMinUnit": "none",
    "impressionsMaxUnit": "none",
    "targetingIncluded": [],
    "targetingExcluded": [],
    "includeDetails": True,
    "decodeShortLinks": False,
    "adIds": [],
    "directUrls": [],
    "maxItems": 3
}

run = client.actor("nimbryxo-studio/linkedin-ad-library-keyword-and-advertiser-scraper").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "search",
    "searchTerms": [],
    "advertisers": [],
    "companyIds": [
        "1035"
    ],
    "companyUrls": [],
    "payer": [],
    "advertiserMatch": "startsWith",
    "countries": [],
    "dateOption": "last-30-days",
    "sortOrder": "newest",
    "impressionsMinUnit": "none",
    "impressionsMaxUnit": "none",
    "targetingIncluded": [],
    "targetingExcluded": [],
    "includeDetails": true,
    "decodeShortLinks": false,
    "adIds": [],
    "directUrls": [],
    "maxItems": 3
};

const run = await client.actor("nimbryxo-studio/linkedin-ad-library-keyword-and-advertiser-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/nimbryxo-studio~linkedin-ad-library-keyword-and-advertiser-scraper/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"search","searchTerms":[],"advertisers":[],"companyIds":["1035"],"companyUrls":[],"payer":[],"advertiserMatch":"startsWith","countries":[],"dateOption":"last-30-days","sortOrder":"newest","impressionsMinUnit":"none","impressionsMaxUnit":"none","targetingIncluded":[],"targetingExcluded":[],"includeDetails":true,"decodeShortLinks":false,"adIds":[],"directUrls":[],"maxItems":3}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=nimbryxo-studio/linkedin-ad-library-keyword-and-advertiser-scraper",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Questions people ask

More on LinkedIn Ad Library

• Topic groupSearch and ads data: every website compared
• ToolWhich LinkedIn Ad Library route fits your job?
• ToolLinkedIn Ad Library cost by Apify plan, rows and runs

Related websites

• Meta Ad Library2 Actors
• Google Ads Transparency Center3 Actors
• LinkedIn19 Actors

Sources

• LinkedIn Ad Library Keyword & Advertiser Scraper on Apify Store
• No public ad-library API documentation
• LinkedIn Ad Library terms