# Resume vs Job Description Match Score

**Use case:** 

Scores a sample job against a sample candidate profile: a 0–100 fit score, a 0–5 delivery score after hard-requirement checks, evidence and skill gaps. Replace both with your own.

## Input

```json
{
  "mode": "score-jobs",
  "search": {
    "sources": [
      "linkedin",
      "remote_boards",
      "builtin",
      "justjoinit",
      "nofluffjobs",
      "hackernews",
      "ycombinator_was",
      "wttj",
      "infojobs",
      "tecnoempleo"
    ],
    "keywords": [
      "software engineer"
    ],
    "location": "Madrid",
    "remoteOnly": false,
    "postedWithinDays": 7,
    "maxItemsPerSource": 3,
    "concurrency": 3,
    "sourceTimeoutSecs": 120
  },
  "jobs": [
    {
      "schemaVersion": "nomad-agent-job-v1",
      "identity": {
        "source": "example",
        "externalId": "example-frontend-developer-berlin",
        "url": "https://example.com/jobs/frontend-developer"
      },
      "data": {
        "title": "Frontend Developer",
        "company": {
          "name": "Example Studio",
          "sourceId": null,
          "department": null,
          "url": null,
          "logoUrl": null
        },
        "classification": {
          "industries": null,
          "jobFunctions": null
        },
        "domains": null,
        "domainsRaw": null,
        "locations": [
          {
            "raw": "Berlin, Germany",
            "countryName": "Germany",
            "countryCode": "DE",
            "city": "Berlin",
            "region": null,
            "postalCode": null,
            "streetAddress": null,
            "facilityName": null,
            "positionsAvailable": null,
            "latitude": null,
            "longitude": null
          }
        ],
        "employment": {
          "workArrangements": [
            "hybrid"
          ],
          "applicantLocationRequirements": null,
          "workSchedules": null,
          "contractTypes": [
            "full-time"
          ],
          "durationMonths": null,
          "hoursPerWeek": null,
          "hoursPerWeekRaw": null,
          "startDate": null,
          "startDateRaw": null
        },
        "application": {
          "postedAt": null,
          "deadline": null,
          "referenceNumber": null,
          "referenceNumberIssuer": null,
          "applicantSnapshot": null,
          "url": null,
          "email": null,
          "directApply": null,
          "applyMethodRaw": null,
          "availability": null,
          "hiringContacts": null,
          "eligibilityCriteria": null,
          "selectionProcess": null
        },
        "seniority": {
          "raw": null,
          "levels": [
            "mid"
          ]
        },
        "requirements": {
          "education": null,
          "experience": null,
          "languages": null,
          "requiredSkills": [
            {
              "name": "React",
              "yearsRequired": null
            },
            {
              "name": "TypeScript",
              "yearsRequired": null
            }
          ],
          "preferredSkills": [
            {
              "name": "Jest",
              "yearsRequired": null
            }
          ],
          "certifications": null,
          "skillsQualifications": null,
          "specificRequirements": null
        },
        "benefits": null,
        "funding": {
          "programme": null
        },
        "compensation": {
          "currency": null,
          "exact": null,
          "minimum": null,
          "maximum": null,
          "period": null,
          "raw": null
        },
        "constraints": {
          "visaSponsorship": null,
          "workAuthorization": null,
          "securityClearance": null,
          "locationPreference": null
        }
      },
      "custom": null,
      "llm": {
        "status": "not_requested",
        "requestedFields": [],
        "filledFields": [],
        "provider": null,
        "model": null,
        "promptVersion": null,
        "completedAt": null
      },
      "raw": {
        "description": "Example Studio is hiring a Frontend Developer to build and maintain customer-facing web applications in React and TypeScript. You will turn designs into accessible components, write unit tests with Jest, and work with backend engineers on REST APIs. We expect about three years of professional frontend experience. The role is hybrid in Berlin, Germany, with two office days per week. English is the working language.",
        "descriptionHtml": null
      }
    }
  ],
  "sourceDatasetId": "a1B2c3D4e5F6g7H8I",
  "sourceActorRunId": "a1B2c3D4e5F6g7H8I",
  "expectedSourceBuild": "0.1.12",
  "maxItems": 1,
  "candidateProfile": {
    "workableLanguages": [
      {
        "language": "English",
        "level": "C1",
        "evidence": "Example profile: English C1"
      }
    ],
    "workableLanguagesComplete": false,
    "workArrangementPreferencesComplete": false,
    "acceptedContractTypesComplete": false,
    "primaryRole": "Frontend Developer",
    "targetTerms": [
      "Frontend Developer",
      "React Developer"
    ],
    "skills": [
      "React",
      "TypeScript",
      "JavaScript",
      "HTML",
      "CSS",
      "Jest"
    ],
    "seniorityLevels": [
      "mid"
    ],
    "yearsExperience": 4,
    "acceptedWorkArrangements": [
      "hybrid"
    ],
    "remoteLocations": [],
    "hybridLocations": [
      "Berlin, Germany"
    ],
    "onsiteLocations": [],
    "freeText": "Illustrative example candidate: front-end developer with four years of experience building React and TypeScript web applications."
  },
  "resultMode": "audit",
  "minDeliveryScore": 2,
  "minRankToForward": 30,
  "maxAiItems": 1,
  "recoverHolds": true,
  "aiConcurrency": 1
}
```

## Output

```json
{
  "fitScore": {
    "label": "Fit score (0–100)",
    "format": "integer"
  },
  "deliveryScore": {
    "label": "Delivery score (0–5)",
    "format": "integer"
  },
  "recommendation": {
    "label": "Recommendation",
    "format": "string"
  },
  "evaluationStatus": {
    "label": "Status",
    "format": "string"
  },
  "title": {
    "label": "Job",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "blockingGates": {
    "label": "Blocking gates",
    "format": "array"
  },
  "why": {
    "label": "Why it fits",
    "format": "string"
  },
  "gapSummary": {
    "label": "Gaps",
    "format": "string"
  },
  "url": {
    "label": "Posting",
    "format": "string"
  },
  "schemaVersion": {
    "label": "Schema version",
    "format": "string"
  },
  "matchKey": {
    "label": "Stable match key",
    "format": "string"
  },
  "evaluationKey": {
    "label": "Content-addressed evaluation key",
    "format": "string"
  },
  "jobKey": {
    "label": "Stable job key",
    "format": "string"
  },
  "candidateHash": {
    "label": "Candidate profile hash",
    "format": "string"
  },
  "candidateSnapshotHash": {
    "label": "Exact candidate snapshot hash",
    "format": "string"
  },
  "evaluatedAt": {
    "label": "Evaluation time",
    "format": "string"
  },
  "source": {
    "label": "Source",
    "format": "string"
  },
  "externalId": {
    "label": "External id",
    "format": "string"
  },
  "postedAt": {
    "label": "Posted at",
    "format": "string"
  },
  "scoreAdjustedForGates": {
    "label": "Score adjusted for gates",
    "format": "boolean"
  },
  "gates": {
    "label": "Gates",
    "format": "object"
  },
  "staticDecision": {
    "label": "Static decision",
    "format": "object"
  },
  "scoring": {
    "label": "Scoring",
    "format": "object"
  },
  "job": {
    "label": "Job",
    "format": "object"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The AI Job Fit Scorer: Rank Jobs Against Your Resume Actor is ready to run with the inputs already set for "Resume vs Job Description Match Score". [Sign up or log in](https://console.apify.com/create-task-from-example/GseGrvVH3jf8wKMP5) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Resume vs Job Description Match Score" task

The AI Job Fit Scorer: Rank Jobs Against Your Resume Actor will start running based on the input automatically. You can also change all the input fields, like run mode, search configuration, and more, to match your specific use case.

### 3. Receive the "Resume vs Job Description Match Score" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as fit score (0–100), delivery score (0–5), recommendation, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Resume vs Job Description Match Score" task via API](https://apify.com/nomad-agent/ai-job-fit-scorer.md).

## About this Actor

This example demonstrates how to use [AI Job Fit Scorer: Rank Jobs Against Your Resume](https://apify.com/nomad-agent/ai-job-fit-scorer.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/nomad-agent/ai-job-fit-scorer.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/nomad-agent/ai-job-fit-scorer.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).