LinkedIn scraper API for your agent. Profile, company, post and job data.
Sample calls
One request, structured JSON.
Pick a data type. The request is the whole integration, and the response is what your agent reads. These are illustrative calls with generic values.
{"endpoint":"linkedin.profile","url":"https://linkedin.com/in/sample-person"}{
"full_name": "Sample Person",
"headline": "Head of Growth at Example Co",
"company": "Example Co",
"company_domain": "example.com"
}The prompt
Copy one prompt, give it to your agent.
Edit the names and numbers, paste it, and the agent runs the job and shows the cost.
- One run is one profile.
- 3 steps across 13 providers.
- Runs on demand, whenever you ask.
set up looot - https://looot.ai/skill.mdCompare
LinkedIn scraper in Python, or the API.
You can write a scraper yourself. This is what changes when you call an API instead.
| Your own Python script | looot API | |
|---|---|---|
| Maintenance | Gap. You fix the script when the page layout changes. | Yes. The provider keeps its parser current. You keep one request. |
| Blocks | Gap. You run proxies and handle rate limits and failed sessions. | Yes. A failed call returns an error your agent can retry or send to another provider. |
| Cost | Gap. Proxies, plus the time you spend on the script. | Yes. Billed per call, with the price shown before each run. |
FAQ
Questions people ask
- use case
- LinkedIn scraper API
- run
- profile
- schedule
- on demand
- step
- Search profiles: anysite icypeas leadmagic limadata prospeo ai-ark
- step
- Fetch the profile: anysite brightdata icypeas leadmagic scrapecreators tikhub anyapi
- step
- Find the work email: anysite icypeas leadmagic findymail hunter aviato
- setup
- https://looot.ai/skill.md
- llms.txt
- https://looot.ai/llms.txt
- updated
- 2026-10-03
Try linkedin scraper api with your own agent.
Start your workspace, top up, and paste the prompt into the agent you already use.