3 items
Extracts URLs and full-page content from Google Search Result Pages (SERPs) for research, AI, or data analysis. SERP Content Extractor is a powerful tool designed for AI enthusiasts and data analysts. It effortlessly extracts URLs and text content from any Google™ SERP, making it ideal for those who need quick access to web content for research, AI training, or competitive analysis. Instructions 1. Navigate to any Google search result page (SERP). 2. Click the extension icon to open the popup. 3. Select the desired results (multiple selections are supported). 4. Click START to fetch and process content concurrently (up to 15 threads). 5. Once the process is complete, review the formatted output and choose to copy it or download it as a TXT file. Features ☆ Extracts SERP results from standard search, images, news, and videos. ☆ Lets you select multiple results for content extraction. ☆ Utilizes concurrent processing (up to 15 simultaneous threads) for faster data retrieval. ☆ Fetches clean, text-only content from each URL—only extracting from allowed tags (e.g., <p>, <h1>–<h6>, <span>, <article>, <li>, <div>, and converts tables to Markdown). ☆ Formats each result with clear prefixes: - Article Title: [title] - URL: [URL] - Content: [Content] ☆ Offers easy-to-use buttons for copying the result to your clipboard or downloading it as a TXT file. Future Enhancements • CSV export functionality for SERP details. • Additional formatting options and printable reports. • Customizable extraction settings based on user feedback. We’re eager to hear your feedback and feature requests. Thank you for choosing SERP Content Extractor!
Apr 19, 2025
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.