ScrapeCreators: Linkedin Ad

Retrieves detailed information about a specific LinkedIn ad by URL.

Tool ID: scrapecreators_linkedin_ad

Run this action

Use the TypeScript SDK for one call. Use ctx.tools.execute(...) inside a Play for durable calls, scheduled calls, or CSV processing.

import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'scrapecreators_linkedin_ad',
  {
    "url": "https://example.com"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute scrapecreators_linkedin_ad --input '{
  "url": "https://example.com"
}' --json

Example response

The static output schema lacks the details for a reliable example. Use deepline describe scrapecreators_linkedin_ad --json for the complete live contract.

Input reference

Retrieves detailed information about a specific LinkedIn ad by URL. Returns id, description, headline, adType, advertiser, and targeting with language, location, and audience criteria. Also includes totalImpressions, impressionsByCountry, adDuration, startDate, and endDate. Date and impression fields are nullable when LinkedIn does not expose them on the public ad page. The existing image, video, organicVideo, preRollVideo, and carouselImages fields keep their previous values. paidForBy is the public paying entity when LinkedIn shows one, without the ‘Paid for by’ prefix. targetingTable lists the public targeting-category flags that LinkedIn shows. It does not expand a collapsed location summary into individual locations. imageSources and thumbnailSources list the creative-image and video-poster URLs LinkedIn supplies. videoSources lists native video renditions as { src, type, bitrate }. See the live schema below for the complete notes.

Name	Type	Required	Default	Details
`payload.url`	`string`	Yes	—	The url of the ad

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`unknown`	Yes	—	Provider response payload.
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: fixed (per call).
Estimated Deepline credits: 0.02 per pricing unit.

​Run this action

​CLI

​Example response

​Input reference

​Output reference

​Deepline cost

​Related documentation

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

Related documentation