Get a search

curl --request GET \
  --url https://api.revcenter.ai/api/scans/{id} \
  --cookie session=

const options = {method: 'GET', headers: {cookie: 'session='}};

fetch('https://api.revcenter.ai/api/scans/{id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://api.revcenter.ai/api/scans/{id}"

headers = {"cookie": "session="}

response = requests.get(url, headers=headers)

print(response.text)

{
  "scan": {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "title": "<string>",
    "status": "queued",
    "sector": "<string>",
    "pulled": 123,
    "target_count": 123,
    "raw_input": "<string>",
    "created_at": "2023-11-07T05:31:56Z",
    "closed_at": "2023-11-07T05:31:56Z",
    "error": "<string>",
    "mode": "candidate",
    "criteria": {
      "family": "<string>",
      "title_variants": [
        "<string>"
      ],
      "seniority": "c_suite",
      "allowed_seniority": [
        "c_suite"
      ],
      "must_have": [
        "<string>"
      ],
      "industries": [
        "<string>"
      ],
      "metro": "San Jose, CA",
      "geo_radius_mi": 123,
      "remote_ok": true,
      "exclude_titles": [
        "<string>"
      ],
      "exclude_industries": [
        "<string>"
      ],
      "exclude_companies": [
        "<string>"
      ],
      "avoid_titles": [
        "<string>"
      ],
      "avoid_industries": [
        "<string>"
      ],
      "avoid_companies": [
        "<string>"
      ],
      "comp_band": [
        123
      ],
      "years_experience": {
        "min": 123,
        "max": 123
      },
      "min_avg_tenure_years": 123,
      "skills": [
        "<string>"
      ],
      "skills_required": [
        "<string>"
      ],
      "languages_required": [
        "<string>"
      ],
      "target_company_profile": {
        "sector": "<string>",
        "employee_range": [
          123
        ],
        "pe_backed_preferred": true
      },
      "rubric_weights": {
        "title": 123,
        "years": 123,
        "skills": 123,
        "geo": 123,
        "industry": 123,
        "seniority": 123
      }
    },
    "qualified": 123,
    "quality_report": {}
  },
  "runs": [
    {
      "id": "<string>",
      "stage": "serp",
      "status": "complete",
      "items_in": 123,
      "items_out": 123,
      "error": "<string>",
      "started_at": "2023-11-07T05:31:56Z",
      "finished_at": "2023-11-07T05:31:56Z"
    }
  ],
  "candidates": [
    {
      "rank": 123,
      "score": 123,
      "subscores": {},
      "phase": "<string>",
      "verdict": "accept",
      "candidate": {
        "id": "<string>",
        "firstName": "<string>",
        "lastName": "<string>",
        "roleTitle": "<string>",
        "company": "<string>",
        "metro": "<string>",
        "profileUrl": "<string>",
        "photoUrl": "<string>",
        "headline": "<string>",
        "email": "<string>",
        "phone": "<string>",
        "hydrated": true,
        "signals": [
          {}
        ]
      }
    }
  ],
  "companies": [
    {}
  ],
  "clientLeads": [
    {}
  ],
  "access": {
    "canShare": true
  }
}

{
  "error": "Sign in required"
}

{
  "error": "Scan not found"
}

{
  "error": "Spec extraction failed"
}