# Exploit-DB Exploits Scraper (`parseforge/exploit-db-exploits-scraper`) Actor
Hunt down live security records from Exploit Db Exploits with identifiers, severity, affected products, descriptions and references. Trusted by SOC teams, threat intel researchers and DevSecOps pipelines. Run on demand or on a recurring schedule and feed every row into your favourite analytics or.
- **URL**: https://apify.com/parseforge/exploit-db-exploits-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Developer tools, Lead generation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
Pay per usage
This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## ๐งโ๐ป Exploit-DB Exploits Scraper
> ๐ **Get exploit-db exploits scraper data in seconds.** Get the full dataset from the source as clean data / data / data / data.
> ๐ **Last updated** 2026-05-27 ยท **๐ 8 fields** per record ยท **Pay-per-result pricing** ยท **Public data only**
Get Exploit-DB security exploits and vulnerability data: titles, dates, types, platforms, authors, EDB IDs and URLs. Filter by keyword, type, and platform. available as a dataset for SOC analysts, vuln researchers and threat intel teams.
This Actor produces a structured dataset with 8 fields per record, ready for analysts, researchers and downstream pipelines.
| ๐ฏ Target Audience | ๐ก Primary Use Cases |
|---|---|
| Data analysts, researchers, developers | Market research, dataset enrichment, competitive intelligence, lead generation |
| BI teams, agencies, indie developers | Building dashboards, alerts, BI exports, custom apps |
### ๐ What the Exploit-DB Exploits Scraper does
- Fetches the public data feed in real time.
- Normalises every record into a clean schema with 8 fields.
- Outputs straight to your Apify dataset as data / data / data / data.
- Supports pagination, keyword filters and per-run limits via `maxItems`.
- Designed for headless, repeatable runs (cron, Make, Zapier, webhooks).
> ๐ก **Why it matters:** the source is public but unstructured. This Actor turns it into queryable rows you can join, filter and chart instantly.
### ๐ฌ Full Demo
_๐ง Coming soon_
### โ๏ธ Input
Field
Type
Description
maxItems
integer
Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000
search
string
Free-text search (e.g. apache, wordpress).
category
string
Filter by exploit type.
#### Example preview run
````
{
"maxItems": 10
}
```
#### Example filtered run
```
{
"maxItems": 5,
"category": "webapps"
}
```
> โ ๏ธ **Good to Know:** free accounts are capped at 10 items per run as a preview. Upgrade to a paid plan to unlock up to 1,000,000 items per run.
### ๐ Output
Each record contains these 8 fields:
| Field | Type | Description |
|---|---|---|
| `title` | string | Record title. |
| `id` | string | Record identifier. |
| `url` | string | Source URL. |
| `date` | string | date value from the source. |
| `type` | string | type value from the source. |
| `platform` | string | platform value from the source. |
| `author` | string | author value from the source. |
| `verified` | string | verified value from the source. |
| `scrapedAt` | string | ISO 8601 timestamp of the scrape. |
| `error` | string | Error message (only present on failure records). |
#### Sample records
```
\[
{
"title": "Linux Kernel 6.8 - Local Privilege Escalation",
"id": "52573",
"url": "https://www.exploit-db.com/exploits/52573",
"date": "2026-05-26",
"type": {
"id": "2",
"name": "local",
"display": "Local"
},
"platform": {
"id": "16",
"platform": "Linux"
},
"author": "Long Fong Chan",
"verified": false,
"scrapedAt": "2026-05-26T21:58:34.887Z",
"error": null
},
{
"title": "cPanel - CRLF Injection",
"id": "52574",
"url": "https://www.exploit-db.com/exploits/52574",
"date": "2026-05-26",
"type": {
"id": "6",
"name": "webapps",
"display": "WebApps"
},
"platform": {
"id": "31",
"platform": "PHP"
},
"author": "nu11secur1ty",
"verified": false,
"scrapedAt": "2026-05-26T21:58:34.952Z",
"error": null
},
{
"title": "Wordpress Temporary Login Plugin 1.0.0 - 'temp-login-token' Authentication Bypass to Account Takeover",
"id": "52575",
"url": "https://www.exploit-db.com/exploits/52575",
"date": "2026-05-26",
"type": {
"id": "6",
"name": "webapps",
"display": "WebApps"
},
"platform": {
"id": "24",
"platform": "Multiple"
},
"author": "Amir Hossein Jamshidi",
"verified": false,
"scrapedAt": "2026-05-26T21:58:34.994Z",
"error": null
}
]
````
### โจ Why choose this Actor
| | |
|---|---|
| โก **Fast** | Lean HTTP pipeline. No browser overhead. |
| ๐ฏ **Accurate** | Normalised fields, deduplicated rows, real-time fetch. |
| ๐ฐ **Pay-per-result** | Pay only for the records pushed to your dataset. |
| ๐ **Integration-ready** | One-click Make / Zapier / Slack / GitHub / Google Drive. |
| ๐ ๏ธ **Maintained** | Updated whenever the upstream source changes its shape. |
### ๐ How it compares to alternatives
| Approach | Speed | Cost | Maintenance |
|---|---|---|---|
| Manual Get | ๐ Slow | ๐ธ Wasted hours | ๐ Breaks often |
| Custom script | โก Fast | ๐ป Dev hours | ๐ You maintain it |
| **This Actor** | โก Fast | ๐ฐ Pay per row | โ We maintain it |
### ๐ How to use
1. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp)
2. Open the Actor page on Apify Console.
3. Fill in the input form (or paste a data input).
4. Click **Start** and watch the dataset populate live.
5. Get as data / data / data / data, or pipe to your stack.
### ๐ผ Business use cases
#### ๐ Market research
Pull a fresh slice of the source whenever you need it. No more stale manual exports.
#### ๐ฏ Lead generation
Combine with enrichment Actors to turn raw records into outbound-ready lists.
#### ๐งช Data science
Use the dataset as a clean input for notebooks, ML pipelines or dashboards.
#### ๐ Competitive intelligence
Track changes over time by scheduling daily / weekly runs and diffing snapshots.
### ๐ Automating Exploit-DB Exploits Scraper
Use Apify's integrations to wire the dataset into your stack:
- **Make** - trigger a scenario when a run finishes
- **Zapier** - fan out new rows to Sheets, Airtable, Notion
- **Slack** - get a notification with the dataset link
- **Airbyte** - sync results into your data warehouse
- **GitHub Actions** - schedule runs from your CI
- **Google Drive** - auto-upload the data/data
### ๐ Beyond business use cases
#### ๐ฌ Research
Use the dataset for academic studies, longitudinal analyses or sector reports.
#### ๐ Personal projects
Bootstrap side projects, dashboards, niche search engines, alerts.
#### ๐ค Non-profit
Investigations, policy work, transparency tools - public data put to public use.
#### ๐งช Experimentation
Prototype quickly; the Actor is the boring plumbing so you can focus on the idea.
### ๐ค Ask an AI assistant about this scraper
- [Open in ChatGPT](https://chat.openai.com/)
- [Open in Claude](https://claude.ai/)
- [Open in Perplexity](https://www.perplexity.ai/)
- [Open in Copilot](https://copilot.microsoft.com/)
Paste this link and ask "summarise this Actor and suggest 5 use cases": `https://apify.com/parseforge/exploit-db-exploits-scraper`
### โ Frequently Asked Questions
**๐ข Is the data live?** Yes. Every run hits the source and returns fresh data.
**๐ข Do I need an API key?** No. Everything happens through your Apify account.
**๐ข What output are supported?** data, RSS - Apify dataset standard.
**๐ข Can I schedule it?** Yes, with Apify Schedules or external cron via Make/Zapier.
**๐ข What's the cost?** Pay-per-result - see the pricing tab on the Actor page.
**๐ข Is this affiliated with Exploit-DB Exploits?** No. Independent scraper. Public data only.
**๐ข Do you store the data?** Your Apify dataset, your data. We don't hold copies.
**๐ข What if the upstream changes shape?** Open a ticket and we'll patch the Actor.
**๐ข Can I filter results?** Yes, see the input section above for filters.
**๐ข Will it work for 8-field exports?** Yes - full schema in every row.
**๐ข Can I integrate it with Make/Zapier?** Yes - see the automation section.
### ๐ Integrate with any app
Apify exposes a REST API + webhooks. Plug the dataset into Make, Zapier, n8n, Airbyte, Slack, Google Sheets, Airtable, Notion, Postgres, BigQuery, Snowflake, GitHub Actions, Discord - anywhere your team already works.
### ๐ Recommended Actors
| Actor | What it does |
|---|---|
| [Google Search Scraper](https://apify.com/apify/google-search-scraper) | Pull SERP data for any keyword |
| [Web Scraper](https://apify.com/apify/web-scraper) | Generic HTML โ data scraper |
| [Crunchbase Scraper](https://apify.com/parseforge/crunchbase-scraper) | Company profiles, funding, employees |
| [LinkedIn Profile Scraper](https://apify.com/parseforge/linkedin-profile-scraper) | LinkedIn profile data |
| [BBB Business Reviews Scraper](https://apify.com/parseforge/bbb-business-reviews-scraper) | Better Business Bureau reviews |
> ๐ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more public-data Actors.
**๐ Need Help?** [Open our contact form](https://tally.so/r/BzdKgA)
> **โ ๏ธ Disclaimer:** independent tool, not affiliated with Exploit-DB Exploits. Only publicly available data is collected.
# Actor input Schema
## `maxItems` (type: `integer`):
Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000
## `search` (type: `string`):
Free-text search (e.g. apache, wordpress).
## `category` (type: `string`):
Filter by exploit type.
## Actor input object example
```json
{
"maxItems": 10,
"category": ""
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/exploit-db-exploits-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "maxItems": 10 }
# Run the Actor and wait for it to finish
run = client.actor("parseforge/exploit-db-exploits-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 10
}' |
apify call parseforge/exploit-db-exploits-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=parseforge/exploit-db-exploits-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Exploit-DB Exploits Scraper",
"description": "Hunt down live security records from Exploit Db Exploits with identifiers, severity, affected products, descriptions and references. Trusted by SOC teams, threat intel researchers and DevSecOps pipelines. Run on demand or on a recurring schedule and feed every row into your favourite analytics or.",
"version": "0.1",
"x-build-id": "FcpGnQhoUdZ6bIOrP"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/parseforge~exploit-db-exploits-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-parseforge-exploit-db-exploits-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/parseforge~exploit-db-exploits-scraper/runs": {
"post": {
"operationId": "runs-sync-parseforge-exploit-db-exploits-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/parseforge~exploit-db-exploits-scraper/run-sync": {
"post": {
"operationId": "run-sync-parseforge-exploit-db-exploits-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000"
},
"search": {
"title": "Search term",
"type": "string",
"description": "Free-text search (e.g. apache, wordpress)."
},
"category": {
"title": "Type",
"enum": [
"",
"webapps",
"remote",
"local",
"dos",
"shellcode"
],
"type": "string",
"description": "Filter by exploit type.",
"default": ""
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```