Multilogin X API

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Cookie Injection Pipeline ​

End-to-end workflow for warming browser profiles with pre-made cookies.

Fresh browser profiles have no browsing history, cookies, or session data. This makes them appear as brand-new browsers to websites, which can trigger anti-fraud detection. Pre-made cookies give profiles a history of visiting target websites.

Pipeline Flow ​

Step-by-Step ​

1. Create the Profile ​

bash
curl -X POST https://api.multilogin.com/profile/create \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"name":"cookie-profile","browser_type":"mimic","os_type":"windows","folder_id":"FOLDER_UUID"}'

2. Apply Cookies ​

bash
curl -X POST https://cookies.multilogin.com/api/v1/cookies/apply \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"profile_id":"PROFILE_UUID","target_website":"google"}'

3. Verify Cookies Applied ​

bash
curl "https://cookies.multilogin.com/api/v1/cookies?profile_id=PROFILE_UUID" \
  -H "Authorization: Bearer $TOKEN"

4. Start the Profile ​

bash
curl "https://launcher.mlx.yt:45001/api/v1/profile/f/FOLDER_ID/p/PROFILE_ID/start" \
  -H "Authorization: Bearer $TOKEN"
python
import requests

def apply_cookies_bulk(token, profile_ids, target="google"):
    """Apply cookies to multiple profiles."""
    for pid in profile_ids:
        resp = requests.post(
            "https://cookies.multilogin.com/api/v1/cookies/apply",
            headers={
                "Authorization": f"Bearer {token}",
                "Content-Type": "application/json"
            },
            json={
                "profile_id": pid,
                "target_website": target
            }
        )
        status = "OK" if resp.status_code == 200 else "FAILED"
        print(f"{pid}: {status}")

If you need to change which website's cookies are applied:

bash
curl -X PUT https://cookies.multilogin.com/api/v1/cookies/metadata \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"profile_id":"PROFILE_UUID","target_website":"amazon"}'

See Also ​