跨境电商商品采集 users statistics
By zhoutian200405 · Chrome Web Store · Workflow & Planning
AI识别网页列表数据、跨境电商平台商品列表数据
跨境电商商品采集 has approximately 249 recorded users on Chrome Web Store, ranking #4041 of 5,946 tracked listings.
Rating: 3.40 / 5 from 8 ratings
About 跨境电商商品采集
AI识别网页列表数据、跨境电商平台商品列表数据
打开网页就能自动识别采集的 AI 浏览器插件,对跨境电商平台如amazon,ebay.etsy,walmart,mercadolivre,mercari,wayfair等众多网站进行了AI调校,支持的更好。 软件使用 AI 来预测 HTML 页面上哪些数据占据最大版面,最值得采集的列表,并可以手动添加单个网页元素共同采集,将网页数据保存成excel文件。
It is an AI browser plug-in that can automatically identify and collect when opening a web page. It uses AI to predict which data occupies the largest page on the HTML page and is the most worthy of collection. It can also manually add individual web page elements to collect together. The web page data is saved as an excel file.
Description from the Chrome Web Store listing.
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Charts
Images: 30d · 1y · all time · 1600×900 dark
Adoption over time
7/30/90-day growth
Ranking history
Ratings over time
Listing placement
Listing placement
Filled points are observed values; hollow points come from Internet Archive snapshots of the listing page. Dashed segments span periods with no observations — values between points are not interpolated.
Each band is one page of 20. Users on a linear scale. Placement is projected from users, so it can differ from the marketplace's own sort order. Hover a dot to see the listing.
Recent observations
Full history (1)Similar Chrome Web Store Workflow & Planning plugins
All 20 跨境电商商品采集 alternativesData source
Covers every Chrome Web Store extension with at least 100 users, found through the store's public sitemap. User counts are read from public listing pages. The 10% most-used extensions are refreshed daily, the next 40% weekly and the next 40% monthly; the least-used 10% are not refreshed. Google displays rounded user counts (and caps the display at 10,000,000+), so small changes may not be visible. Rating counts above 1,000 are rounded (e.g. 1.6K).
Listing: https://chromewebstore.google.com/detail/跨境电商商品采集/nmhoclpchamkdieleapdicmpmnnhnokc. First seen Oct 28, 2026; last successful collection Oct 28, 2026. See the methodology.