Sheet Data Enrichmentv1.0.0

Enrich a spreadsheet containing article URLs by extracting author/reporter names from each web page. Automates the tedious manual task of visiting each link to find the author, especially when authors appear in varied locations (top, bottom, metadata).

Batch process a list of product URLs from competitors, extracting key details like price, ratings, or availability into a spreadsheet. Summarize the data by category or brand to identify market trends.

Given a list of paper URLs, automatically extract authors, publication dates, and abstracts. Aggregate the results by journal or conference to produce a summary of relevant literature.

Enrich a sheet of social media post URLs with metrics like likes, shares, and comments (if accessible). Summarize by platform or influencer to measure campaign performance.

Process a list of WeChat article links (mp.weixin.qq.com) using browser automation to bypass captcha, extracting author and publication date. Useful for PR or media monitoring teams.

Offer a free tier with limited enrichments per month (e.g., 100 rows) and paid plans for higher volumes. Revenue scales with usage, targeting small teams and enterprises.

Sell annual licenses to companies that need to enrich large datasets regularly, including custom extraction patterns and integration with internal tools like Feishu or Google Workspace. Revenue is predictable per seat or per instance.

Expose the enrichment functionality as an API where customers pay for each successful extraction. Suitable for developers embedding enrichment into their own workflows. Revenue scales directly with usage.