LinkedIn Ad Library Scraper

Ad Intelligence

Operated by Sourcelane✓ verified

A scraper that harvests ads from the public LinkedIn Ad Library to extract per-ad structured data for competitive intelligence and creative research. The connector queries the LinkedIn Ad Library (no authentication required) using company or keyword searches, supports optional country and date range filtering, and paginates to collect large result sets. For each ad it captures ad copy (headlines, description/body text, call-to-action labels), creative assets (image URLs, video URLs, carousel image sets), advertiser metadata (name, LinkedIn company page, logo), ad format and creative type (single image, video, carousel, document, sponsored message), destination landing pages and URLs where available, flight dates, reach metrics including impressions and impressions by country, and any targeting parameters disclosed by LinkedIn. Outputs are per-ad structured records combining textual copy, media links, advertiser info, format/type, timing, reach, and targeting data suitable for analysis, search, and downstream processing.

Verified Sep 28, 3:55 AM

$0.004

per ad

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Competitor ad research — see which campaigns a rival is running and their flight dates.
Ad creative inspiration — build a library of B2B ad copy and creative assets.
Messaging and positioning analysis — track competitor messaging and shifts over time.
Demand-gen benchmarking — compare ad volume, formats, and flight lengths across competitors.
Agency pitching — show prospects examples of competitor ad spend and creative strategies.

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"linkedin-ad-library-scraper","params":{"companyName":"stripe","maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`searchMode`	string	optional	Search the ad library by advertiser name, or by a keyword that appears in the ad copy.
`companyName`	string	optional	Advertiser to pull ads for, e.g. 'stripe'. Used when Search mode is 'Company'.
`keyword`	string	optional	Phrase to search for inside ad copy, e.g. 'crm software'. Used when Search mode is 'Keyword'.
`countries`	array	optional	Optional ISO country codes to restrict results to, e.g. US, GB, DE. Leave empty for all countries.
`startDate`	string	optional	Only return ads that ran on or after this date, in YYYY-MM-DD format. Leave empty for no lower bound.
`endDate`	string	optional	Only return ads that ran on or before this date, in YYYY-MM-DD format. Leave empty for no upper bound.
`maxItems`	integer	optional	Maximum number of ads to return in this run. Set 0 for unlimited (the run will paginate until the library is exhausted or the run times out). Capped at 100 per call.
`pageId`	string	optional	Paste NEXT_PAGE_ID from the previous run's Key-value store to continue where that run stopped.

Each result contains

Field	Type	Description
`adId`	string	Ad Id
`adLibraryUrl`	string	Ad Library Url
`advertiser`	string	Advertiser
`advertiserLinkedinPage`	string	Advertiser Linkedin Page
`advertiserLogo`	string	Advertiser Logo
`poster`	string	Poster
`promotedBy`	null	Promoted By
`headline`	null	Headline
`description`	string	Description
`cta`	null	Cta
`adType`	string	Ad Type
`creativeType`	string	Creative Type
`imageUrl`	null	—
`videoUrl`	null	—
`carouselImages`	array	—
`destinationUrl`	null	—
`landingPage`	null	—
`startDate`	string	—
`endDate`	string	—
`adDuration`	string	—
`totalImpressions`	string	—
`impressionsByCountry`	array	—
`targeting`	object	—
`sponsoredMessageSender`	null	—
`searchQuery`	string	—

Use LinkedIn Ad Library Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “What ads is Shein running right now on Meta and Google? Group them by offer.”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.usesourcelane.com/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"linkedin-ad-library-scraper","params":{"companyName":"stripe","maxItems":5},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "linkedin-ad-library-scraper",
        "params": {"companyName":"stripe","maxItems":5},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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