$1 / 1k ads
Extract LinkedIn ad details, ad copy, media URL, and call-to-action buttons from Ad Library URLs
Endpoint
POST /api/v1/agents/linkedin/ads-library/run
Parameters
array
required
List · LinkedIn Ad Library URLs (or company URLs). One per line.
integer
default:50
Number · Ads per input URL. Use 0 for all.
Response columns
| Field | Display name | Type |
|---|---|---|
advertiserUrl | Advertiser URL | url |
adUrl | Ad URL | url |
advertiser | Advertiser | text |
advertiserLogo | Advertiser Logo | url |
adBody | Ad Body | text |
headline | Headline | text |
format | Format | text |
images | Images | text |
video | Video | url |
document | Document | url |
slideImage | Slide Image | url |
clickUrl | Click URL | url |
ctas | CTAs | text |
paidBy | Paid By | text |
Example
curl -X POST https://api.mindcase.co/api/v1/agents/linkedin/ads-library/run \
-H "Authorization: Bearer mk_live_abc123def456" \
-H "Content-Type: application/json" \
-d '{
"params": {
"urls": [
{
"url": "https://www.linkedin.com/ad-library/search?accountOwner=nvidia&countries=BR&dateOption=last-30-days"
}
],
"maxResults": 10
}
}'
import requests
resp = requests.post(
"https://api.mindcase.co/api/v1/agents/linkedin/ads-library/run",
headers={"Authorization": "Bearer mk_live_abc123def456"},
json={"params": {
"urls": [
{
"url": "https://www.linkedin.com/ad-library/search?accountOwner=nvidia&countries=BR&dateOption=last-30-days"
}
],
"maxResults": 10
}},
)
data = resp.json()
Example response
Response
{
"job_id": "job_7f3a2b1c",
"status": "completed",
"data": [
{
"advertiserUrl": "https://www.linkedin.com/company/40981439",
"adUrl": "https://www.linkedin.com/ad-library/detail/1211407483",
"advertiser": "NVIDIA Brasil",
"advertiserLogo": "https://media.licdn.com/dms/image/v2/D560BAQEQxQYINJmKww/company-logo_100_100/company-logo_100_100/0/1724882363637/nvidiabrasil_logo?e=1779321600&v=beta&t=GQhxysv2YqEDNHl1x98LHwJdzAgArKjJBUXgesLfojo",
"adBody": "Neste webinar, voc\u00ea ter\u00e1 uma vis\u00e3o geral dos NVIDIA\u00a0NIMs\u00a0e de como eles simplificam a implanta\u00e7\u00e3o, o\u00a0serving\u00a0e o escalonamento de modelos de linguagem em ambientes\u00a0on-premises\u00a0e em nuvem. Tamb\u00e9m ser\u00e1 abordado como funciona o licenciamento da tecnologia e os principais cen\u00e1rios de uso.\n\nO evento tamb\u00e9m apresenta alguns dos principais modelos da NVIDIA, como o NVIDIA Llama Nemotron, destacando como esses LLMs open source, combinados com NIMs, permitem infer\u00eancia de baixa lat\u00eancia, observabilidade e uso otimizado de GPUs para solu\u00e7\u00f5es de IA generativa em n\u00edvel corporativo.\n\n\ud83d\udcc5 28 de abril \u00e0s 17h (hor\u00e1rio de Bras\u00edlia).\n\nInscreva-se aqui: https://lnkd.in/dckqHuyA \n\n\n#nvidia #llm #generativeai #ia #machinelearning #datascience",
"headline": null,
"format": "SINGLE_IMAGE",
"images": "https://media.licdn.com/dms/image/v2/D4D22AQGZb-07XPAGlg/feedshare-shrink_2048_1536/B4DZ0.tFRbIcAg-/0/1774873499072?e=2147483647&v=beta&t=HuY9qA11vGF0F_m2x6AeG82gdH5MQ5dg0kAqmRXgpE8",
"video": null,
"document": null,
"slideImage": null,
"clickUrl": null,
"ctas": [],
"paidBy": "NA\u00c7\u00c3O DIGITALSOLUTIONS LTDA"
}
]
}