Collect comprehensive Opensea collection metrics in seconds, including floor price, volume, listings, and social links. This project delivers fast, accurate Opensea collection data for analytics, research, and monitoring, with clean JSON outputs ready for downstream use.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project gathers detailed, up-to-date information for NFT collections listed on Opensea. It solves the challenge of accessing reliable collection-level metrics without manual browsing. It’s built for analysts, developers, and NFT researchers who need structured collection data at scale.
- Retrieves current floor price, volume, listings, and supply metrics
- Extracts complete trait metadata for each collection
- Returns uncached, up-to-date results
- Designed for speed and cost efficiency
- Simple inputs with flexible proxy configuration
| Feature | Description |
|---|---|
| Fast Collection Fetching | Retrieves metrics for dozens or hundreds of collections in seconds. |
| Floor & Volume Metrics | Captures current floor price, total volume, and active listings. |
| Trait Metadata Extraction | Collects all trait categories and value distributions. |
| Social Link Discovery | Extracts website, Discord, Twitter, and other social references. |
| Clean JSON Output | Returns structured, easy-to-parse data suitable for pipelines. |
| Field Name | Field Description |
|---|---|
| name | Official name of the NFT collection. |
| description | Collection description text. |
| imageUrl | Primary collection image URL. |
| bannerImageUrl | Collection banner image URL. |
| website | Official website link. |
| discord | Discord invite URL if available. |
| Twitter/X handle associated with the collection. | |
| uniqueOwners | Number of unique wallet holders. |
| totalSupply | Total number of NFTs in the collection. |
| totalVolume | Lifetime trading volume. |
| floorPrice | Current lowest listing price. |
| listings | Number of active listings. |
| createdDate | Original collection creation timestamp. |
| traits | Trait categories with value counts. |
| error | Error status for the collection fetch. |
[
{
"name": "Bored Ape Yacht Club",
"description": "The Bored Ape Yacht Club is a collection of 10,000 unique Bored Ape NFTs living on the Ethereum blockchain.",
"imageUrl": "https://i.seadn.io/gae/example-image.png",
"bannerImageUrl": "https://i.seadn.io/gae/example-banner.png",
"discord": "https://discord.gg/3P5K3dzgdB",
"website": "http://www.boredapeyachtclub.com/",
"twitter": "BoredApeYC",
"uniqueOwners": 5957,
"totalSupply": 9998,
"totalVolume": "825353.3328 ETH",
"floorPrice": "78.0 ETH",
"listings": 339,
"createdDate": "2021-04-22T23:14:03.967121",
"traits": [
{
"key": "Hat",
"counts": [
{ "value": "Army Hat", "count": 294 },
{ "value": "Baby's Bonnet", "count": 158 }
]
}
],
"error": "No Error"
}
]
Opensea Collection Data Scraper/
├── src/
│ ├── index.js
│ ├── collectors/
│ │ ├── collectionFetcher.js
│ │ └── traitsParser.js
│ ├── utils/
│ │ ├── httpClient.js
│ │ └── validators.js
│ └── config/
│ └── defaults.json
├── data/
│ ├── input.sample.json
│ └── output.sample.json
├── package.json
├── package-lock.json
└── README.md
- Market analysts use it to monitor floor price and volume changes, so they can track NFT market trends.
- Developers integrate it into dashboards to power real-time NFT analytics.
- Collectors analyze traits and scarcity data to make informed buying decisions.
- Researchers build datasets of NFT collections for historical and comparative analysis.
Can I process multiple collections at once? Yes, the input supports multiple collection URLs, allowing batch processing in a single run.
Does it return real-time data? The scraper retrieves fresh collection metrics at execution time, avoiding cached responses.
What output formats are supported? Results are generated as structured datasets that can be exported to JSON, CSV, Excel, XML, or HTML.
Is proxy usage required? Proxies are optional, but recommended when running high-concurrency or large batch requests.
Primary Metric: Processes approximately 100 collections in ~30 seconds under normal conditions.
Reliability Metric: Maintains a success rate above 99% for valid collection URLs.
Efficiency Metric: Executes large batch jobs with minimal compute usage, averaging ~$0.002 for 100 collections.
Quality Metric: Returns complete metric coverage per collection, including traits, pricing, and social links.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
|
"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
|
"Exceptional results, clear communication, and flawless delivery. Syed
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