jpkbcfdgjeonipdpnoelcdpipgamcfhl
Scrape Reddit comments export csv/json file, copy to Clipboard. Copy with prompts. Effortlessly capture Reddit discussions and export clean datasets ππ₯ Looking to research Reddit threads, gather insights, conduct sentiment analysis, or save conversations for later? Reddit Comment Scraper & Comments Exporter helps you extract complete Reddit comment data in seconds β clean, structured, and ready for analysis. πβ¨ π What This Extension Does Easily scrape Reddit comments and export them as CSV or JSON, including permanent links and comment URLs. Perfect for researchers, creators, analysts, and anyone who needs high-quality Reddit conversation data. π Copy all Reddit comments to your clipboard or save them as CSV/JSON files π Export structured data including permalinks, authors, timestamps, and comment URLs π Secure & reliable β no extra network requests; behaves exactly like normal browsing π€ Ideal for follow-up LLM tasks such as sentiment analysis, trend detection, need discovery, and research summaries π Great for long-form posts, dataset building, archiving, or citing discussions with accurate permalinks 1. Navigate to any Reddit post 2. Click the extension icon to open the Side Panel 3. Click Export, then choose Copy or Save File. (Click "Swipe down" to load more. Click "Expand Replies" to expand nested replies.)1οΈβ£ Thatβs it β your Reddit dataset is ready for analysis! πβ‘ β New Feature: Copy Comments with Prompt Easily copy scraped comments with a customizable prompt prefixed on top (separated by ---). The prompt template can be edited anytime via a simple modal and is saved in local. Default prompt: βSummarize the discussion.β CSV β works with Excel, Google Sheets, Airtable JSON β great for developers, automation, and scripting π Includes permalinks for precise referencing and citations π§βπ« Who Is This For? Perfect for anyone who needs to store, study, or analyze Reddit comments. 1οΈβ£Note on "Expand Replies": To allow more replies to be displayed on a single page, plus signs that would expand into a "Single comment thread" will not be expanded. β οΈ Note: This extension is not affiliated with or endorsed by Reddit. Reddit is a trademark of Reddit, Inc. For personal use only. Please respect Reddit's Terms of Service and user privacy. π Install Now and streamline your Reddit workflow! ππ₯
X Comments Exporter - Export Twitter Comments
Download X (Twitter) replies in one click. X Comments Exporter makes reply scraping easy for research, backup, and insights. π X Comments Exporter β Download X (Twitter) Replies for Research, Analysis & Archiving Do you need to analyze replies to an X (Twitter) post for market research, sentiment analysis, or conversation archiving? With X Comments Exporter, you can effortlessly scrape and download all replies to any public X post in just a few seconds β no technical skills required! ππ₯ X Comments Exporter is a Chrome extension that allows you to export comments (replies) from X.com (formerly Twitter) quickly and securely. Whether youβre a data scientist, academic researcher, digital marketer, or just curious about online discussions, this tool gives you full access to real-time reply data β ready for deeper analysis in your preferred format. Say goodbye to manually scrolling through hundreds of replies. With a single click, collect all comments under any X post. Ideal for: β’ Trending topic analysis β’ Customer feedback mining β’ Political discourse tracking β’ Influencer engagement monitoring Whether youβre working in Excel, Google Sheets, Python, or R β you can choose the format that works best for your workflow. Export formats include: β’ π CSV β Great for spreadsheets & simple data views β’ π§Ύ JSON β Developer-friendly for APIs & apps β’ π XLSX β Perfect for advanced analysis in Excel 3. π Designed for Social Listening & Analytics Easily collect public replies to analyze: β’ Sentiment trends π§ β’ Hashtag usage and engagement π β’ Audience opinions and concerns π¬ β’ Meme propagation and virality π The extension adds a download icon directly beneath X posts. It feels native, works intuitively, and stays out of your way until you need it. We donβt track you. We donβt store your data. Everything is processed directly on your device. β No server-side logging β No third-party sharing β 100% local processing Getting started is easy. Hereβs how: 1. π Go to any public X (Twitter) post on x.com that has replies. 2. π§² Open the chrome extension and click the βStart Scrapingβ button. 3. π Watch real-time scraping progress via a pop-up window. 4. β Once complete, click "Export Comments" to save your file. 5. βοΈ Want to change the file format? Open the extension from the toolbar, hit the gear icon, and choose CSV, JSON, or XLSX. π§ Who Is It For? This extension is perfect for: β’ π¨βπ Researchers & Academics doing content or discourse analysis β’ π Marketers & Agencies tracking campaign replies and audience feedback β’ ποΈ Journalists & Analysts investigating online trends or political sentiment β’ π§° Developers & Builders building apps that use X comment data β’ ποΈ Archivists & Writers documenting important online conversations π― Benefits and Use Cases Looking for keywords? X Comments Exporter covers use cases like: β’ Download X (Twitter) replies β’ Export Twitter thread replies β’ Scrape X comments β’ Archive Twitter conversations β’ Twitter sentiment analysis tool β’ Social media data extractor β’ X comment scraper extension β’ Export X data to CSV or Excel Your data never leaves your computer. βοΈ Local-only processing βοΈ No server-side storage βοΈ Full GDPR compliance This ensures full confidentiality for users dealing with sensitive research or private datasets. X Comments Exporter is an independent browser extension developed by a third party. It is not affiliated with, endorsed by, or officially connected to X Corp (formerly Twitter) in any way. All trademarks and copyrights belong to their respective owners. Donβt waste hours scrolling. Let X Comments Exporter handle the heavy lifting β so you can focus on what really matters: insights, not logistics. π§ π π Add the extension to Chrome now and take control of your X data.
Reddix - Reddit bookmarks
Search your saved and upvoted Reddit posts and organize them using tags Reddix helps you manage and search your Reddit saved and upvoted content. Features: - Save and organize your Reddit posts and comments in your browser's local storage. - Search, sort and organize saved content using tags. - Dark and light themes. - View your content in a toolbar pop-up window or on a separate page. - Import or export your data. Please note that Reddit limits the number of posts you can fetch to 1,000. If you want to view more, please refer to the extensions help page for instructions on how to manually import all your content. Source code: https://github.com/flytaly/reddix-extension Changelog V0.10.0 - Reversed the order of the elements before saving so that the newly saved elements remain at the top of the list - Sorting by ID is set by default - Fix: saved search parameters are now applied correctly when opening the search - Fix: fixed incorrect auto-update settings
Amazon Review Scraper Downloader | Export to CSV
Download Amazon review extraction and scraping tools with one click. Easily export thousands of product reviews to CSV files Are you still frustrated by manually copying and pasting Amazon reviews? Don't worry! Our tool lets you scrape and download customer reviews for any Amazon product in one click, exporting them as a clear, easy-to-analyze CSV file. It's the ultimate free tool for eCommerce sellers, data analysts, and market researchers! Key Features: β One-click export for ultimate simplicity. No complicated setup required. From the Amazon review page, with just one click, our powerful scraping engine kicks off, neatly exporting all the data as a CSV file, ready to open in Excel or Google Sheets. Comprehensive Data, In-Depth Analysis: We're more than just a text scraper! Easily capture: Review ID, Author Name, Star Rating (e.g., 4.5), Review Title and Body, Review Date and Country, Verified Purchase, Product Variations (e.g., Color, Size), High-Resolution Links to All Review Images, and Smart Pagination for Automatic Scraping. No need to manually flip through pages. Our extension automatically simulates page flipping in the background, continuously fetching multiple pages of reviews until the specified number is reached or all reviews are fetched, saving you valuable time. π Privacy-focused, secure and reliable Your privacy is paramount. All data processing and fetching happens locally in your browser; we never touch, view, or store any of your data. How to use: Our process is incredibly simple: Open any Amazon product detail page. Click the extension icon and, in the pop-up window, click the "Open Reviews Page" button. On the resulting reviews page, click the extension icon again, enter the number of reviews you wish to export, and click "Start Export"! π‘ Important: To comply with Amazon's website policies and ensure the stability of the fetching process, we strongly recommend limiting the number of exports to 100 at a time. This helps prevent your request from being temporarily restricted by Amazon and maximizes the success rate of data acquisition. Who needs this tool most? Amazon sellers: Analyze customer feedback for your own products and competitors' products to identify areas for improvement. Market Researchers: Quickly collect massive amounts of first-hand data to gain insights into consumer needs and market trends. Product Managers and Developers: Gain authentic, unfiltered user feedback to drive product iteration. If you have any questions, feedback, or suggestions, please feel free to contact us via email: 8123202@gmail.com
YouTube Comment Scraper
Use YouTube Comment Scraper to scrape youtube comments, export or download nested threads and replies in one click to Excel file. Turn busy video discussions into structured rows that are ready for review, reporting, and follow up. When a creator, analyst, moderator, or researcher needs YouTube Comment Scraper for real work, the goal is simple: collect visible discussion data from a YouTube video or Short without losing reply structure, dates, or context. The output is shaped for sorting, filtering, and follow up instead of raw page noise. π Fast workflow 1οΈβ£ Open any YouTube watch page or Shorts page with comments. 1οΈβ£ Launch YouTube Comment Scraper from the side panel. 1οΈβ£ Load top level threads, expand replies, and save the result as a spreadsheet. π Capture more than plain text πΉ Top level comments and nested replies stay connected, so each row keeps its place in the discussion. πΉ Relative dates are converted into clean published_at values that are easier to sort and filter. πΉ Author names, likes, reply relationships, and extra profile related fields stay separated in columns. π Built for videos and Shorts A youtube comments scraper is only useful when it works across the pages people actually use. This workflow supports standard watch pages and Shorts, helps collect visible discussion rows, and keeps loading until more top level threads stop appearing. For anyone comparing a manual process with a structured export flow, this cuts out repeated scrolling and messy cleanup. π Export format that stays usable π export youtube comments into an Excel ready XLSX file for analysis, archives, or sharing. π download youtube comments when a team needs a file instead of screenshots or copied fragments. π Keep a clean spreadsheet for reviews, moderation checks, client reports, creator research, and recurring audits. π§© Choose the columns that matter Different projects need different fields. YouTube Comment Scraper lets you keep the full set or narrow the output to the columns that matter most, including author, text, published_at, likes, reply_count, reply_to, is_creator, is_verified, author_channel_id, and avatar_url. That makes each export easier to adapt to audits, sentiment reviews, lead qualification, content planning, and internal reporting. π Helpful when the task is larger than one page πΈ how to export all youtube comments becomes easier when the file already contains thread links and clean dates. πΈ Research snapshots, moderation backlogs, trend reviews, and campaign reports move faster with one structured dataset. πΈ Reply expansion reduces manual checking because deeper threads are gathered before the file is saved. ποΈ Keep discussion structure intact Many export tools flatten conversations until replies lose meaning. Here, the dataset keeps parent child relationships through reply_to values, which helps when teams need to trace who answered whom. If the goal is to scrape comments from youtube video pages for evidence, QA, or community analysis, that extra structure matters. β Does it work on Shorts as well as regular videos π‘ Yes. The same YouTube Comment Scraper flow supports Shorts comment panels and standard watch pages, so one process covers both common YouTube formats. β Can it collect replies from deeper threads π‘ Yes. When Parse threads is enabled, the tool expands reply chains and keeps nested discussions connected, which is useful when you need full conversation context instead of only top level rows. β What if the visible count and exported count are different π‘ Sometimes YouTube shows a higher public counter than the number of rows that can actually be collected on the page. Hidden or deleted items can create that gap, so final totals still depend on what YouTube makes available. β Is this useful when a team needs a direct page based export route π‘ Yes. When direct page access fits the workflow, this YouTube Comment Scraper route helps export youtube comments that are visible on the page and organize them into a spreadsheet. π Made for recurring review Use page level convenience directly on the video, then move from collection to filtering, tagging, and reporting without rebuilding the dataset by hand. Whether the task is research, moderation, record keeping, or creator operations, the result is a cleaner path from discussion to workable data. The spreadsheet stays useful for later review, later reporting, and later moderation when the same dataset needs another pass and records.