Comment by smallmartial

Back to stories Open in a window
Comment

Comment by smallmartial

Hey everyone!

For those of you doing Amazon affiliate marketing, you’ve probably encountered the common problem of how to quickly scrape large amounts of product data and efficiently export affiliate links for SEO or social media promotion. To streamline this process, I’d like to recommend a newly released Chrome extension called Amazon Product Scraper, developed by a friend of mine who runs independent sites. It has already saved us a lot of time in real-world applications.

Here’s the Chrome Store link: Amazon Product Scraper - Chrome Web Store

What Problem Does This Plugin Solve?

When doing Amazon affiliate marketing, we typically need to search for tons of products using keywords, click through to each product page to collect titles, prices, product details, image links, and then manually generate affiliate links. This repetitive process is not only time-consuming but also tedious, especially when you need to scrape thousands of product listings—manual work is just not feasible.

This plugin tackles exactly that pain point. It automatically scrapes Amazon product information based on keywords, including:

• Product titles • Prices • Product details • Image URLs • Product links

The best part is, it supports bulk exporting this data into CSV files compatible with Excel. You can also predefine your Amazon Affiliate ID so that the exported product links are automatically appended with your affiliate tag, saving even more time.

Key Features:

1. Keyword Search: Enter keywords to quickly filter relevant products. 2. Automatic Data Scraping: Retrieve product titles, prices, images, and details with one click, without manually visiting each product page. 3. Affiliate Link Generation: Predefine your Amazon Affiliate ID, and the plugin will automatically add it to the exported product links for easy commission tracking. 4. Data Export: Export all the scraped data to a CSV file, which can be further processed or analyzed.

Example Use Case

Let’s say you need to create pages for 1000 keywords on your website, and each page requires 30-50 product recommendations. That means you’ll need to scrape 30,000-50,000 product listings. Manually doing this would take an unreasonable amount of time and effort. This plugin automates the entire process, saving countless hours of work.

If you’re interested, feel free to download the plugin from the Chrome Web Store and give it a try. I’ve been using it for a few days now, and it’s been a huge time-saver. If you have any suggestions or run into issues, let’s discuss in the comments!

Replies smallmartial · 2024-10-10
Open on HN
Loading the discussion…

Domain filters

Stories from these domains are hidden from every list. Subdomains match too: blocking substack.com also hides danluu.substack.com.

    About YAVCHN

    YAVCHN is a reader for Hacker News and Lobsters, with articles and discussions in separate windows or Classic pages.

    Created by Paul Parks and built with PUDL.

    YAVCHN source code on GitHub

    Help

    Keyboard

    j / k
    Move down and up the story list. The arrow keys scroll whatever has focus.
    Enter
    Read the marked story in the article reader.
    ]
    Read the next story in the same article-reader applet. Back returns to the previous story.
    p
    Pin or unpin the marked story, which keeps it in Pinned.
    n / N
    Move to the next or previous top-level comment in the window in front.
    c
    Collapse or expand that comment.
    f
    Hide or show the story list.
    Esc
    Close a menu or this help.
    Access key m
    Go to the menu bar. Most browsers take it with Alt on Windows and Linux, and Safari with Control and Option.
    ?
    Show this help.

    Windows

    Each story opens in a window holding its article above its discussion; drag the bar between them to share the room differently. A window can be moved by its title bar, resized from any edge, snapped to a half or a corner by dragging it there, maximised, or minimised to the bar at the foot of the page. Use Window > New reader window to open an empty reader, or a story row's Open in new reader window button to compare articles. Docked readers keep their articles when you select another story from the sidebar. Minimized readers can be restored and reused for their site. A window's Next story link reads on down the list in the same window.

    A link in a comment or an article to another Hacker News or Lobsters thread opens that thread in a window too. A link to a single HN comment opens the comment above its replies.

    While a story's window is in front, the Story and Discussion menus in the menu bar hold its commands: pinning, Next story, sorting, collapsing every thread, jumping to the first new comment. Each window also remembers where you were in its article and discussion, so a reload, or Back to a story that Next took you past, finds your place again. Closing a window forgets it.

    The whole arrangement lives in the address, so a bookmark or a shared link brings it back, and Back undoes the last change. Moving between Hacker News, Lobsters, their lists, Pinned and Find changes only the list, and leaves the windows open.

    The list

    The pin at the start of a row keeps the story in Pinned, and the cross at its end hides it. Pinned can be narrowed by words in the title, site or author, by source, and to the stories you haven't opened yet, and ordered by when you pinned them, by points or by comments; the filters are part of the address, so a filtered view can be bookmarked. Scroll past the end of the list to load more. Domain filters, in the View menu, hide every story from a site.

    Browsing view

    View > Windowed and View > Classic select the browsing view and save your default in this browser. Window view reuses a reader for each feed. Classic view opens stories and applets as pages. Open as a page and Open in a window are one-off actions that do not change your saved default. Direct page links always open as pages.

    Applets

    The Applets menu in the menu bar holds three tools, each a window of its own. Replies to me takes your Hacker News user name and lists the replies to your last thirty comments and stories, checking again every three minutes while it is open, and marking what is new since you last marked them read. Look up a user opens a profile on Hacker News or Lobsters, with their submissions and recent comments, as a commenter's name in any discussion does; the bar at the top of a profile looks up someone else in the same window, and Back returns to the one before. Who is hiring? filters the posts of HN's monthly hiring threads by the words you type.

    They read only what the sites publish to everyone, so none of them asks for a login, and your user name stays in this browser.

    Find

    Find takes any link and lists every time it was submitted to Hacker News and Lobsters, so you can read each discussion of it.

    About

    YAVCHN never sees your Hacker News or Lobsters login. The discussion is fetched from each site's public API; to vote or reply, follow the link above the discussion, or the arrow beside a comment, to the source's own site. Pins, hidden stories, filters and layout are kept in this browser only.

    Open source: github.com/paulmooreparks/yavchn. Built with PUDL.