
DropshipScan
Ecomhunt
Pexda
AliShark
AliInsider
FindNiche
Reviewbox
Thieve
Python
JavaScript
Java
C++
Rust
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Elixir
On AliExpress you can sort products by the amount of orders, but this isn't a good indicator for how popular this products are at the moment. What you really want to look at is how much the order volume changed in the last couple days and weeks. If there is an uptick in sales this can be a good indicator for an upcoming trend or an unsaturated niche.
This is why I build the site https://dropshipscan.com which scrapes thousands of products a day on Aliexpress to log the change for the 'Orders' metric over time. You can use it to sort products by growth descending to see which ones perform best. But it gets better, it also estimates the profit margin you can expect for every product by using the official APIs of the big ecommerce platforms. Using the descriptions and keywords of the products at aliexpress it searches for similar listings and gets the retail prices of them. It always uses a weighted average to have the most realistic estimation and to not rely on outliers.
This unique ranking method of order growth AND the estimated profit margins can help you to be miles ahead of the competition and to stop wasting time with products that don't sell or don't make much profit at all. For example you can set a minimum profit margin, sort by order growth descending and search with keywords from your niche to get exactly the products you need to make money!
And of course you can add the results to a watchlist and directly import them to your Shopify or WooCommerce store.
DropshipScan
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I signed up last month and already found 4-5 winning products with it for my store, I can recommend it as it is cheap and works fine. Don't expect wonders though, you still have to set up a great store and create good ads to have sales.
Based on our record, Python seems to be a lot more popular than DropshipScan. While we know about 299 links to Python, we've tracked only 29 mentions of DropshipScan. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is why I build the site https://dropshipscan.com/ which scrapes thousands of products a day on Aliexpress to log the change for the 'Orders' metric over time. You can use it to sort products by growth descending to see which ones perform best. But it gets better, it also estimates the profit margin you can expect for every product by using the official APIs of the big ecommerce platforms. Using the... Source: about 4 years ago
I found winning products for dropshipping using this https://dropshipscan.com, give it a try! Source: over 4 years ago
Take a look at this https://dropshipscan.com, I am using it to find winning products for dropshipping. Source: over 4 years ago
This is the best https://dropshipscan.com of the 2 dozen out there. Source: over 4 years ago
To find products for dropshipping I am using this site which ranks products by sales growth of the last couple of weeks, Its quite handy and really worth it for me: https://dropshipscan.com. Source: over 4 years ago
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago
For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
Ecomhunt - Ecomhunt allows you to easily find products that are already proven to sell or how we like to call them Winning products! - in only a few clicks - it's time to stop guessing, start selling!
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Pexda - Data-Driven Product Research that Creates First-Mover Advantages
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
AliShark - Usually, you only see those top-selling products, leaving those hidden gems behind. With Alishark, It doesn't have to be a top seller to be spot anymore.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation