awscraper

KO | EN

gitlite — search

#javascript #react #llm #golang #android #machine-learning #linux #windows #cli #kubernetes #awesome-list #vue #mcp #ios

(★ 9)

A humble idea to fetch the cloud resources to make them inventoriable as possible.

awscraper 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# awscraper ⚙️ [![Node.js CI and Shellcheck](https://github.com/thiagosanches/awscraper/actions/workflows/check.yml/badge.svg)](https://github.com/thiagosanches/awscraper/actions/workflows/check.yml)
AWScraper is a backend tool to centralize all the cloud (AWS for now) data that we might need in order to make them part of an **inventory**.

We can also add some custom data for any resource to make it easy to search them. In the future, there will be a front-end application that will read the database in order to display the information in an easy way for any non-technical user.

There will be a cron job that should run this periodically to continuing fetching the data.

We are also planning to add a logic that will create a relationship between the cloud resource and the source-code (nodejs, java, c#, no matter), when that exists.

Right now, we are saving the data into a SQLite database and managing it through [SQLiteStudio](https://www.sqlitestudio.pl/).

## How this tool can help me on a daily basis?
Right now, we don't have a front-end application yet, but you can run some reports that we are creating using bash. It's a plain text report, but it can help you to ask some question regarding the data that were collected, for example:

Which security groups were configured with the port 22 (SSH) opened for everyone?
![image](https://user-images.githubusercontent.com/5191469/217949519-e6b2e190-83bb-4b4d-97c5-b5c8bdfc3b1a.png)

After the awscraper execution, run the report:
```bash
cd reports/
./report.sh <path to the sqlite database file>
```
## What are the supported resources now?
- CloudFront
- DynamoDB
- EBS (Volumes)
- EC2
- SecurityGroup
- ElasticBeanstalk
- IAM + additional information about AccessKeys
- Lambda
- RDS
- Route 53 (ResourceRecords)
- S3 + additional information about Encryption
- SQS
- SNS
- API Gateway (REST APIs)
- NAT Gateway
- SSM Parameters and their raw values - ⚠️ Note that you should exercise caution, as the values are decrypted.
- Glue Jobs

## Overview
There are 3 main components in the application:
- **Ingestors**: It's responsible to write the data into the database. At this moment, we are trying to define a model that fits for ALL.
- **Scrapers**: It's responsible to fetch all the data that you want (that you think it's important for you). It's important to remember to perform the operations in a paginated way if necessary.
- **Mappers**: It's responsible to transform the AWS object into a more customizable object that fits into the database.

```mermaid
graph LR
    A[Scraper] -->|AWS Data| B(Mapper)
    B --> |Transformed Data| C(Ingestor)
    C --> D(Database)
```

## Model (More info about ingestors)
To save the returned data from scrapers we defined a simple table:

```sql
CREATE TABLE IF NOT EXISTS "resources" (
"Id" TEXT NOT NULL,
"AccountId" TEXT NOT NULL,
"AccountName" TEXT NOT NULL,
"Region" TEXT NOT NULL,
"Type" TEXT,
"Status" TEXT NOT NULL,
"Team" TEXT,
"Comments" TEXT,
"LastModified" TEXT NOT NULL,
"RawObj" TEXT,
PRIMARY KEY("Id"));
```

No matter the resources, we are planning to store the **mandatory** fields:
- ID: the `ARN` of the resource (primary key).
- Type: a value defined programatically: `ec2`, `cloudfront` according to the original resource.
- Status: `LIVE` or `DELETED`.
- RawObject: a json object that could represent the whole AWS object or any object that you have built.

We can also rely on the built-in `json_extract()` function from SQLite, in order to extract the JSON data from the RawObj, if we want to return more details that are not part of the **mandatory** fields. For example, to return cloudfront distributions that doesn't have WebACLId:

```sql
SELECT Id from "resources" where json_extract(RawObj, '$.WebACLId') = ''
```

## How it works?
On **every** execution, **Scrapers** will always perform the operation that you developed them to do. **Mappers** will receive the data, perform some transformation and pass the objects to Ingestors.

**Ingestors** are the responsible to know how to write the data into the database. Right now, to handle items that were removed from the Cloud (AWS for now) we are saving everything into a temporary table to perform a `NOT IN` operation on SQLite against the existing data. If something that is not there on the AWS's list anymore, they are marked as `DELETED` on the database (resources table).

**We'll might have some performance issues in the future, so need to keep the eyes on this topic here.**

## How to contribute?
You can add more scrapers into this project to increase the capacity of this tool. Basically, you need to create two files and change the `index.js`, for example if you are going to add the `Route53` capability to the tool:

- `mappers/route53.js`
- `scrapers/route53.js`

Update the [index.js](./index.js) file, for example:

```javascript
const route53 = require('./scrapers/route53');
...
promises.push(route53.scrape(...));
...
```

Please, consider the existing codes ([ec2.js](./scrapers/ec2.js) or [cloudfront.js](./scrapers/cloudfront.js)) when creating your new feature. They are not perfect, but it works (at least for now haha)!

## How to execute?
- Run `npm install`.

### Single Account
- If you are going to work on a single account export the `AWS_ACCESS_KEY_ID`,`AWS_SECRET_ACCESS_KEY` and `AWS_SESSION_TOKEN` variables to your bash session. Also, export these additional environment variables to give to the AWS account a Id and a Name: `AWSCRAPER_ACCOUNT_ID` and `AWSCRAPER_ACCOUNT_NAME`.

### Multiple Accounts
- If you are going to work on multiple accounts through AWS Organizations, you just need to export the profile and/or the secrets from the Root Account and you should be good :).

### Finally, execute the application
Run `node index.js`.

If you want to avoid scrapping an account, you can pass the accountId as parameter:
```
node index.js 000000000001,000000000002
```

You should see a `database.db` file being created.

## Web UI
A modern Vue 3 web interface is available to visualize and manage your AWS resources.

### Setup
1. Install UI dependencies:
```bash
cd awscraper-ui
npm install
```

2. Configure the API endpoint (optional):
```bash
cp .env.example .env
# Edit .env if your API server runs on a different port
```

### Running the Application

#### Option 1: Development Mode
Start both the API server and UI dev server:

```bash
# Terminal 1 - API Server (from project root)
npm run api

# Terminal 2 - UI Dev Server (from project root)
cd awscraper-ui
npm run dev
```

The API server runs on `http://localhost:3001` and the UI on `http://localhost:5173`.

#### Option 2: Production Build
Build and serve the UI:

```bash
cd awscraper-ui
npm run build
npm run preview
```

### UI Features
- **Dashboard**: Real-time statistics and overview of your AWS resources
- **Resource Inventory**: Browse, filter, and search all collected resources
- **Metadata Management**: Add team and comments to resources for better organization
- **Visualization**: Tree-based visualization of resource relationships
- **Dark Mode**: Professional dark mode interface optimized for long sessions

### UI Stack
- Vue 3 with Composition API
- Vite for fast development and building
- D3.js for data visualization
- Express.js API server with SQLite backend

awscraper

awscraper 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

awscraper

awscraper 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README