# CVE Vulnerability Scraper (`cloud9_ai/cve-scraper`) Actor

Search and extract CVE vulnerability data from NIST NVD. Get CVSS scores, affected products, and references. No API key required.

- **URL**: https://apify.com/cloud9\_ai/cve-scraper.md
- **Developed by:** [cloud9](https://apify.com/cloud9_ai) (community)
- **Categories:** Automation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 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

## CVE Vulnerability Scraper

Search and extract CVE vulnerability data from NIST NVD. Get CVSS scores, affected products, and references. No API key required.

### Use cases

- Feed a vulnerability dashboard with CVSS-scored CVEs
- Alert on new HIGH/CRITICAL CVEs affecting your stack
- Build a compliance evidence trail for audits
- Enrich asset inventories with known vulnerabilities
- Research vulnerability trends over a date range

### Input

> **A NIST NVD API key is optional.** The Actor works without one; adding a key from https://nvd.nist.gov/developers/request-an-api-key raises the rate limit the source applies.

| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `mode` | string | Yes | `"search"` | Search mode: 'search' for keyword search, 'recent' for recently published CVEs Allowed: `search`, `recent`. |
| `keyword` | string | No | `"apache"` | Search keyword for CVEs (e.g., 'apache log4j', 'openssl'). Used in 'search' mode. |
| `severity` | string | No | `"HIGH"` | Filter by CVSS v3 severity level Allowed: `LOW`, `MEDIUM`, `HIGH`, `CRITICAL`. |
| `pubStartDate` | string | No | — | Filter CVEs published on or after this date (YYYY-MM-DD format) |
| `pubEndDate` | string | No | — | Filter CVEs published on or before this date (YYYY-MM-DD format) |
| `maxResults` | integer | No | `20` | Maximum number of CVEs to retrieve (default: 20, max: 200) |
| `apiKey` | string | No | — | Optional NVD API key to increase rate limit (without key: 1 req/6s, with key: 1 req/0.6s). Get free key at https://nvd.nist.gov/developers/request-an-api-key |

#### Example input

```json
{
  "mode": "search",
  "keyword": "apache",
  "severity": "HIGH",
  "maxResults": 20
}
```

### Output

The exact fields depend on the mode you run. This is real output from an actual run of this Actor:

```json
{
  "cveId": "CVE-1999-0236",
  "description": "ScriptAlias directory in NCSA and Apache httpd allowed attackers to read CGI programs.",
  "publishedDate": "1997-01-01T05:00:00.000",
  "lastModifiedDate": "2026-06-16T21:47:58.393",
  "cvssV3Score": 7.5,
  "cvssV3Severity": "HIGH",
  "cvssV3Vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
  "affectedProducts": [
    "cpe:2.3:a:apache:http_server:*:*:*:*:*:*:*:*",
    "cpe:2.3:a:illinois:ncsa_httpd:-:*:*:*:*:*:*:*"
  ],
  "references": [
    "https://exchange.xforce.ibmcloud.com/vulnerabilities/CVE-1999-0236",
    "https://exchange.xforce.ibmcloud.com/vulnerabilities/CVE-1999-0236"
  ],
  "nistUrl": "https://nvd.nist.gov/vuln/detail/CVE-1999-0236"
}
```

| Field | Type |
|---|---|
| `cveId` | string |
| `description` | string |
| `publishedDate` | string |
| `lastModifiedDate` | string |
| `cvssV3Score` | number |
| `cvssV3Severity` | string |
| `cvssV3Vector` | string |
| `affectedProducts` | array |
| `references` | array |
| `nistUrl` | string |

Results are exportable from Apify Console or the API as JSON, CSV, Excel, or XML.

### How to run it

**In Apify Console** — open the Actor, fill in the input form, click **Start**, then download the results from the **Dataset** tab.

**With the JavaScript client**

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

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

const run = await client.actor('cloud9_ai/cve-scraper').call({
  "mode": "search",
  "keyword": "apache",
  "severity": "HIGH",
  "maxResults": 20
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

**With the Python client**

```python
from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

run = client.actor('cloud9_ai/cve-scraper').call(run_input={
  "mode": "search",
  "keyword": "apache",
  "severity": "HIGH",
  "maxResults": 20
})

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

**With the API** — `POST https://api.apify.com/v2/acts/cloud9_ai~cve-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN` with the input JSON as the body.

### Notes and limits

- A **NIST NVD** key is optional (https://nvd.nist.gov/developers/request-an-api-key); supplying one raises the source's rate limit. It is a secret input, so it is not written to the dataset or the log.
- `maxResults` caps how much a single run collects, which is also what caps the run's cost.
- Requests are paced and failed requests are retried automatically, so runs stay inside the source's rate limits.
- Only publicly available data is collected. How you use the output is your responsibility, including the source's terms of use and any applicable data-protection law.

### Support

Found a bug, or need a field that isn't in the output? Open an issue on the **Issues** tab of this Actor in Apify Console. Issues there are read and answered.

### License

Apache-2.0

# Actor input Schema

## `mode` (type: `string`):

Search mode: 'search' for keyword search, 'recent' for recently published CVEs

## `keyword` (type: `string`):

Search keyword for CVEs (e.g., 'apache log4j', 'openssl'). Used in 'search' mode.

## `severity` (type: `string`):

Filter by CVSS v3 severity level

## `pubStartDate` (type: `string`):

Filter CVEs published on or after this date (YYYY-MM-DD format)

## `pubEndDate` (type: `string`):

Filter CVEs published on or before this date (YYYY-MM-DD format)

## `maxResults` (type: `integer`):

Maximum number of CVEs to retrieve (default: 20, max: 200)

## `apiKey` (type: `string`):

Optional NVD API key to increase rate limit (without key: 1 req/6s, with key: 1 req/0.6s). Get free key at https://nvd.nist.gov/developers/request-an-api-key

## Actor input object example

```json
{
  "mode": "search",
  "keyword": "apache",
  "severity": "HIGH",
  "pubStartDate": "2024-01-01",
  "pubEndDate": "2024-12-31",
  "maxResults": 20
}
```

# 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 = {
    "mode": "search",
    "keyword": "apache",
    "severity": "HIGH",
    "maxResults": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("cloud9_ai/cve-scraper").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 = {
    "mode": "search",
    "keyword": "apache",
    "severity": "HIGH",
    "maxResults": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("cloud9_ai/cve-scraper").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 '{
  "mode": "search",
  "keyword": "apache",
  "severity": "HIGH",
  "maxResults": 20
}' |
apify call cloud9_ai/cve-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,cloud9_ai/cve-scraper"
        }
    }
}

```

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/p15d5PlwkccgXzXjH/builds/HHtLARgHUjSwVZ7Ly/openapi.json