Pixiv Scraper

AI-Powered Web Scraping

Pixiv Scraper

Scrape Pixiv artwork titles, artist names, tags, and view counts in 2 clicks — export to Excel, Google Sheets, or Notion with no code or setup needed.

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Users Worldwide200K+

Pixiv data scraping made simple

Extract Pixiv data like artwork titles, artist names, and tags without manual copy-paste.

Bulk scrape Pixiv data at scale

Manually collecting Pixiv data page by page gets slow fast, especially when you need dozens or hundreds of artwork titles, artist names, tags, view counts, bookmark counts, and upload dates. Thunderbit lets you scrape a list of URLs in one go, so you can move from a few pages to a large set of Pixiv records without wasting time on repetitive work.

Capture full Pixiv subpage details

Listing pages on Pixiv often show only the basics, while the real details live inside each artwork or artist subpage. Thunderbit visits every linked subpage and pulls back the full picture — artwork descriptions, tag lists, series information, view counts, and bookmark totals — giving you richer, cleaner data in a structured format.

Keep Pixiv data fresh on autopilot

Pixiv content updates constantly, and keeping up manually means checking the same pages over and over. With scheduled scraping, Thunderbit runs on autopilot and delivers fresh Pixiv data to your spreadsheet on a recurring basis, so your artwork, artist, and tag tracking stays current without lifting a finger.

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Why is Thunderbit different from traditional Pixiv scrapers?

A simpler way to scrape Pixiv without brittle selectors or cleanup.

Traditional scrapers

The old way of doing things

Pixiv's artwork pages and search results often change layout, breaking selector-based scrapers overnight.

Many tools miss data spread across illustration details, tags, artist profiles, and linked series pages.

Infinite scroll and page-based results make pagination unreliable, so scrapers stop before collecting everything.

Bookmark-style metadata and inconsistent formatting create messy outputs that need heavy manual cleanup.

Downloaded lists often lose context when images, captions, and creator pages must be scraped separately.

The AI Advantage

Thunderbit AI

The smarter approach

Thunderbit reads Pixiv by meaning, so layout changes do not break your scrape.

It detects artwork fields, tags, and artist details in two clicks — no CSS selectors needed.

Auto-pagination keeps collecting Pixiv results across multiple pages without manual setup.

Subpage scraping visits each artwork or artist page and appends the extra details as new columns.

Auto data cleaning structures Pixiv's metadata for export to Google Sheets, Notion, or Airtable.

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Frequently asked questions

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