NFT market researchers
Collection snapshots
Export visible listings from collections such as Azuki Elementals or Mutant Ape Yacht Club, then sort by price, owner text, or item URL in Sheets or Excel.
Limited Time — Lifetime Access for just $99. Lock in before prices rise.
This OpenSea NFT scraper turns OpenSea collection pages into a structured CSV export of visible listing data. It is built for NFT analysts, marketplace researchers, collectors, and data teams that need to scrape OpenSea collection cards without building a browser automation script or wiring an API client.
CSV
8
Multi-URL
70 sec
Free
At a glance
OpenSea to CSV in one run
Export NFT names, visible owner text, price, views, favorites, image URLs, item URLs, and the source collection URL into a spreadsheet-ready file.
Process multiple collections
Replace the sample collection URLs in the Navigate block, then let the workflow continue through each input and append results to the same CSV.
Handles dynamic collection pages
The graph waits for item links, clicks common consent prompts, and uses an infinite-scroll style step so more listing cards can load before export.
Runs in your local desktop app
The template executes inside UScraper and writes to your chosen folder, which is useful when you do not want every NFT research run handled by a hosted actor.
Who it helps
NFT market researchers
Collection snapshots
Export visible listings from collections such as Azuki Elementals or Mutant Ape Yacht Club, then sort by price, owner text, or item URL in Sheets or Excel.
Collectors and analysts
Watchlists
Build a repeatable desktop workflow for the collections you track, especially when you want a local CSV for comparison against wallet, marketplace, or portfolio data.
Data operations teams
Enrichment prep
Use the export as a starting table, then enrich item URLs with detail-page scraping or official metadata sources when listing-card fields are incomplete.
How to use
Download the JSON template
Use the page CTA or download the hosted file from the OpenSea NFT scraper JSON.
Import it into UScraper
Open the local desktop app, import the workflow, and review the grouped blocks for Page Load, Interaction, Data Extraction, and Pagination Loop.
Replace the collection URLs
Add the OpenSea collection pages you want to export. The sample graph starts with three collection URLs and is designed for a multi-input loop.
Confirm the save folder
The Structured Export blocks write opensea-nft-scraper.csv in append mode. Change the save location if your team stores exports elsewhere.
Run and review the CSV
The workflow navigates, waits, scrolls, exports the first visible cards, exports the post-scroll set, and then continues to the next collection URL.
Output preview
opensea-nft-scraper.csvColumn
name
NFT name from aria-label, title text, image alt text, or the first useful card line.
Column
owned_by
Owner or Owned by text when OpenSea shows it on the listing card.
Column
price
Visible price such as ETH, WETH, MATIC, SOL, APE, USDC, or the Ξ notation.
Column
views
Visible view count when present on the card or accessibility text.
Column
favorites
Visible favorites or likes count when present.
Column
image_url
Current image source from the card image element.
Column
item_url
OpenSea item or asset URL from the listing card link.
Column
collection_url
Source collection URL, stripped of query parameters.
Sample rows
2 of many
| name | owned_by | price | views | favorites | image_url | item_url | collection_url |
|---|---|---|---|---|---|---|---|
| Azuki Elemental #7211 | 0x8f...9c21 | 0.38 ETH | 124 | 16 | |||
| Mutant Ape Yacht Club #19422 | 4.12 ETH | 39 |
For adjacent marketplace and research workflows, pair this template with the eBay scraper, the Vinted data scraper, or the Google SERP scraper. You can also browse the full UScraper template library for more CSV export workflows.
Comparison
This UScraper template
LocalHosted scraping actors
CloudOpenSea collection URLs
Good for repeatable collection watchlists and analyst-controlled batches.
Actor-specific parameters
Useful when you want hosted scheduling or API orchestration.
CSV in your chosen folder
Append mode keeps multiple collections in one export file.
Dataset or API download
Often tied to platform credits, run history, and account storage.
Runs in your desktop browser session
Collection inputs and CSV rows stay with your team by default.
Runs on vendor infrastructure
Convenient, but your job data is processed by a third party.
Free template import
No per-row charge from the template itself.
Usage-based marketplace pricing
Costs can scale with collection size, retries, and scheduling.
OpenSea pages can contain public marketplace data, but scraping still needs to respect OpenSea terms, robots rules, intellectual property rights, privacy law, and local regulations. Use modest pacing, avoid bypassing access controls, keep source URLs, and get legal advice before publishing, reselling, or using the data in regulated decisions.
Before you run
Guardrails for reliable OpenSea exports
Listing-card fields are best-effort
OpenSea may hide owner, views, favorites, or price on some cards. Use item URLs for follow-up detail-page scraping when those fields are important.
Do not overload collection pages
The template includes waits and a bounded scroll loop. Keep batches reasonable, increase delay for large collections, and stop runs that trigger repeated verification or blocked pages.
Respect marketplace rules
Public NFT listings are not permissionless data. Review OpenSea policies and downstream obligations before sharing datasets, training models, or reselling collection snapshots.
Download and use this template instantly
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
Contribute on GitHubBrowse more templates in the library
All TemplatesHere are some of our most common questions. Can't find what you're looking for?
View All FAQsDownload UScraper and build your first web scraper in under 10 minutes. No subscriptions, no code, no limits.
Available on Windows 10+ and macOS 12+ · Need help? [email protected]