# GoDaddy Auctions Scraper (`lexis-solutions/godaddy-auctions-scraper`) Actor
Scrape domain auctions data from GoDaddy.com. Make money with domain names by searching for expiring and auctioned domains on GoDaddy. Find auction prices, bids, backlink data and more in easy-to-use JSON and CSV formats.
- **URL**: https://apify.com/lexis-solutions/godaddy-auctions-scraper.md
- **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community)
- **Categories:** Lead generation, Developer tools
- **Stats:** 32 total users, 5 monthly users, 100.0% runs succeeded, 9 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
$30.00/month + usage
To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors
## 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
### What does GoDaddy Auctions Scraper do?
It's a tool that allows you to **extract data from domain auction listings on godaddy.com**. GoDaddy has a large number of people trying to buy and sell domain names with various levels of experience, and it's a great way to acquire information if you're trying to acquire or sell domains.
### What GoDaddy auctions data you can extract?
With this GoDaddy Auctions Scraper, you will be able to extract the following data from auctions and bulk auctions on godaddy.com:
| 🏷️ Bid count |
🔖 Domain |
| 💰 Current price |
📅 Expiration date |
| 🌟 Backlinks |
👤 Monthly Traffic |
### Why extract data from GoDaddy Auctions?
GoDaddy Auctions is a popular platform for buying and selling domain names. By scraping data from GoDaddy Auctions, you can:
- Find exclusive, soon-to-expire domain names. ✨
- Increase your chance of success with traffic and bidding data. 📈
- Monitor the domain market for trends and opportunities. 📊
### How to scrape GoDaddy Auctions
Prospective buyers and sellers have a clear buying or selling mission and often visit auction sites to scope auctions or learn about domain availability, starting prices, and auction duration. So here are the simple steps to start your GoDaddy Auctions Scraper journey:
1. [Create](https://console.apify.com/sign-up) a free Apify account.
2. Open [GoDaddy Auction Scraper.](https://apify.com/lexis-solutions/godaddy-auctions-scraper)
3. Insert keywords or filters to get the data you need.
4. Click "Start" and wait for the data to be extracted.
5. Download your data in JSON, XML, CSV, Excel, or HTML.
### Input
The input for GoDaddy Auctions Scraper should be the query you want to search for.
You can see all other supported settings in the [Input section](https://apify.com/lexis-solutions/godaddy-auctions-scraper/input-schema) of the Apify Store.
### Example input
```json
{
"query": "flex",
"maxItems": 1
}
````
### Output sample
The output for the example input above would be:
```json
{
"id": 418998373,
"domain": "flexislim.com",
"auctionEndTime": "2024-09-17 16:02:00",
"auctionPrice": 2999,
"monthlyTraffic": 0,
"bids": 0,
"backlinksCount": 0
}
```
### How many results can you scrape with GoDaddy Auctions scraper?
GoDaddy Auctions scraper can return thousands of results on average. However, you have to keep in mind that scraping auctions data exhibits unpredictable behaviors and may vary case by case. There’s no one-size-fits-all answer. The maximum number of results may depend on the complexity of the input, location, and other factors.
Therefore, while we regularly run Actor tests to keep the benchmarks in check, the results may also fluctuate without our knowing. The best way to know for sure for your particular use case is to do a test run yourself.
### How much will scraping GoDaddy Auctions cost you?
When it comes to scraping, it can be challenging to estimate the resources needed to extract data as use cases may vary significantly. That's why the best course of action is to run a test scrape with a small sample of input data and limited output. You’ll get your price per scrape, which you’ll then multiply by the number of scrapes you intend to do.
Check out the video below for a few helpful tips. And don't forget that choosing a higher plan will save you money in the long run.
[How much does web scraping with Apify cost?](https://www.youtube.com/watch?v=-wyz2iscZ30 "How much does web scraping with Apify cost?")
### Tips for scraping GoDaddy Auctions
1. **Start small**: If you're new to scraping GoDaddy Auctions, start with a few domains or a short timeframe. This approach will help you understand the data and frequency of auctions without overwhelming you.
2. **Use the data**: Once you've extracted the auction information, put that data to good use! Monitor upcoming auctions to identify potential investment opportunities or track finished auctions to inform your domain acquisition strategies.
3. **Avoid over-scraping**: While it might be tempting to scrape every auction in real-time, understand that there are limits to how much data GoDaddy can provide. Give yourself regular breaks between scrapes (e.g., every few hours) to avoid potential throttling or bans.
4. **Join forums**: Many domain investors share their experiences with GoDaddy Auctions in online forums. Joining these communities can provide valuable insights and tips for successful scraping and auction participation.
5. **Combine with other data sources**: Consider using data from other domain registrars or auction platforms to complement your GoDaddy data. This approach will give you a more comprehensive view of the domain landscape.
### Is it legal to scrape data from GoDaddy Auctions?
Note that personal data is protected by GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. We also recommend that you read our blog post: [is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/)
### Need to scrape more auction information?
👉 Scrape SeLoger with [SeLoger Scraper](https://apify.com/lexis-solutions/seloger-scraper)
👉 Scrape Shopgoodwill with [Shopgoodwill Scraper](https://apify.com/lexis-solutions/shopgoodwill-scraper)
### Your feedback
We’re always working on improving the performance of our Actors. So if you’ve got any technical feedback for GoDaddy Auctions Scraper or simply found a bug, please create an issue on the Actor’s issues tab in Apify Console.
### Want something custom-built?
This GoDaddy Auctions Scraper doesn’t exactly do what you need? You can always build your own! Lexis Solutions is a [certified Apify Partner](https://apify.com/partners/find). We can help you with custom solutions or data extraction projects.
Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions)
### Support Our Work 💝
If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to. It will take you less than a minute but it will mean a lot to us!
# Actor input Schema
## `query` (type: `string`):
Search query
## `maxItems` (type: `integer`):
Maximum number of items to scrape
## Actor input object example
```json
{
"query": "react",
"maxItems": 10
}
```
# 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 = {
"query": "react"
};
// Run the Actor and wait for it to finish
const run = await client.actor("lexis-solutions/godaddy-auctions-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "query": "react" }
# Run the Actor and wait for it to finish
run = client.actor("lexis-solutions/godaddy-auctions-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"query": "react"
}' |
apify call lexis-solutions/godaddy-auctions-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=lexis-solutions/godaddy-auctions-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "GoDaddy Auctions Scraper",
"description": "Scrape domain auctions data from GoDaddy.com. Make money with domain names by searching for expiring and auctioned domains on GoDaddy. Find auction prices, bids, backlink data and more in easy-to-use JSON and CSV formats.",
"version": "0.0",
"x-build-id": "CIRynNGwP14Ei93Do"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/lexis-solutions~godaddy-auctions-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-lexis-solutions-godaddy-auctions-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/lexis-solutions~godaddy-auctions-scraper/runs": {
"post": {
"operationId": "runs-sync-lexis-solutions-godaddy-auctions-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/lexis-solutions~godaddy-auctions-scraper/run-sync": {
"post": {
"operationId": "run-sync-lexis-solutions-godaddy-auctions-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"query": {
"title": "Query",
"type": "string",
"description": "Search query"
},
"maxItems": {
"title": "Max Items",
"type": "integer",
"description": "Maximum number of items to scrape",
"default": 10
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```