# Resume Parser API — CV to Structured JSON (`vivid_astronaut/resume-parser`) Actor

Parse resumes and CVs into structured JSON: contact info, work experience, education, and skills from PDF and DOC files. Built for HR automation, ATS pipelines, and recruitment screening at scale.

- **URL**: https://apify.com/vivid\_astronaut/resume-parser.md
- **Developed by:** [BRAINIALL Team](https://apify.com/vivid_astronaut) (community)
- **Categories:** AI, Automation
- **Stats:** 21 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Resume Parser

Parse resumes and CVs to extract structured data including skills, education, and experience.

### Features

- **Fast Processing**: Lightning-fast resume parser powered by Azure
- **Reliable**: 99.9% uptime with automatic failover
- **Scalable**: Handle single requests or bulk operations
- **Secure**: Enterprise-grade security with API key authentication
- **Well Documented**: Comprehensive API documentation and examples

### Use Cases

- **Development**: Integrate into your development workflow
- **Automation**: Build automated pipelines
- **Integration**: Connect with other services

### Input Parameters

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `resumeUrl` | string | No | URL of the resume file (PDF, DOCX) |
| `resumeUrls` | array | No | Array of resume URLs for batch processing |
| `extractSkills` | boolean | No | Extract skills from resume |
| `extractEducation` | boolean | No | Extract education history |
| `extractExperience` | boolean | No | Extract work experience |

### Output Format

```json
{
  "success": true,
  "result": { ... },
  "timestamp": "2026-01-07T00:00:00Z"
}
```

### Code Examples

#### JavaScript (Node.js)

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const input = {
  "resumeUrl": "example_resumeUrl",
  "resumeUrls": [],
  "extractSkills": true,
  "extractEducation": true,
  "extractExperience": true
};

const run = await client.actor("vivid_astronaut/resume-parser").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run_input = {
  "resumeUrl": "example_resumeUrl",
  "resumeUrls": [],
  "extractSkills": true,
  "extractEducation": true,
  "extractExperience": true
}

run = client.actor("vivid_astronaut/resume-parser").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### cURL

```bash
curl -X POST "https://api.apify.com/v2/acts/vivid_astronaut~resume-parser/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "resumeUrl": "example_resumeUrl",
  "resumeUrls": [],
  "extractSkills": true,
  "extractEducation": true,
  "extractExperience": true
}'
```

### Pricing

**Model**: Pay per result
**Price**: $0.010 per result

You only pay for successful results. Platform usage costs are included.

### API Documentation

Full API documentation is available at:

- [Apify API Reference](https://docs.apify.com/api/v2)
- [Actor API Endpoints](https://docs.apify.com/api/v2#/reference/actors)

### Support

- **Issues**: Report bugs via Apify Console
- **Documentation**: [Apify Docs](https://docs.apify.com)
- **Community**: [Apify Discord](https://discord.gg/apify)

### Version History

See [CHANGELOG.md](./CHANGELOG.md) for version history.

***

*Powered by Azure Cloud Infrastructure*

# Actor input Schema

## `resumeUrl` (type: `string`):

URL of the resume file (PDF, DOCX)

## `resumeUrls` (type: `array`):

Array of resume URLs for batch processing

## `extractSkills` (type: `boolean`):

Extract skills from resume

## `extractEducation` (type: `boolean`):

Extract education history

## `extractExperience` (type: `boolean`):

Extract work experience

## Actor input object example

```json
{
  "resumeUrl": "example_resumeUrl",
  "extractSkills": true,
  "extractEducation": true,
  "extractExperience": true
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("vivid_astronaut/resume-parser").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("vivid_astronaut/resume-parser").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call vivid_astronaut/resume-parser --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,vivid_astronaut/resume-parser"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/HqTK4bDuFU9jSqhDr/builds/KvSIIQWL2c7BDStdo/openapi.json