4 items
Capture tables on your screen and convert them to spreadsheets Instantly capture and convert any table on your screen into a clean spreadsheet. Parsea is a productivity tool designed to extract tables from various sources, including websites, PDF documents, and images, without the need for manual data entry. Key Features: - Versatile Extraction: Capture data from live websites, local files, and static images (JPG/PNG/WEBP). - Direct Export: Seamlessly convert tables to Excel, Google Sheets, or CSV formats. - Smart Selection: Automatically detect tables on standard webpages or use the manual tool for static content like images and PDFs. Whether you're converting a PDF to a spreadsheet or pulling research data from a website, Parsea makes table capture instant and accurate. Common Use Cases Export Tables: Effortlessly extract data from web apps with limited export features like Ahrefs, Semrush, Crunchbase, or LinkedIn Sales Navigator. Simplify Hidden Menus: Skip the clicking through submenus in Google Analytics (GA4), Stripe, or Facebook Ads Manager. If you can see the data on your screen, Parsea can capture it. Clean Up Messy Exports: Avoid the broken formatting often found in native Notion, Jira, or Airtable exports. Get your data in a clean CSV or Excel format immediately. Break Through Row Limits: Capture data from Google Search Console or financial dashboards that limit the number of rows you can view or download at once. Unlock Static Content: Convert tables trapped inside PDF documents, JPG/PNG images, or even video frames into editable Google Sheets.
Aug 28, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.