Feeling frustrated with manual data collection? It's a common problem.
Getting real-time product info from Walmart can be tough.
The site has strong anti-bot systems that block many users.
This means you miss out on key market insights.
What if you could track prices and find new product trends with no effort?
A great Walmart scraper makes this possible.
It helps you collect clean, useful data without getting blocked.
In this guide, we'll show you the 7 best Walmart scrapers for 2025.
Get ready to power up your e-commerce strategy.
What is the Best Walmart Scraper?
Picking the right Walmart scraper can be tough.
There are many options, and each one is different.
But we've done the hard work for you. We looked at many tools to find the best ones.
Our list helps you pick the right tool for your needs.
1. ScrapeGraphAI
ScrapeGraphAI is a cool Python library. It uses AI to scrape websites for you.
It's great because you tell it in plain English what you want.
No need to write complex code.
The tool uses "graph" logic to understand the webpage and get the exact data you need.
Key Benefits
- Intelligent identification of data points.
- Automatic handling of website changes.
- Easy integration with other tools.
- Quick setup in just a few minutes.
Pricing
- Free: $0/month.
- Starter: $17/month.
- Growth: $85/month.
- Pro: $425/month.
- Enterprise: Custom Pricing
Pros & Cons
Here's what I think about ScrapeGraphAI:
Pros:
- It's super easy to use.
- AI makes it very accurate.
- Handles website changes well.
- Good value for the money.
Cons:
- Fewer integrations than some.
- Advanced features need learning.
Rating
9/10
ScrapeGraphAI is really smart and accurate, which saves a lot of time. The price is fair for what it offers, and the guarantee is a nice touch. It loses a few points because the integrations are a bit limited, and getting the most out of the advanced stuff takes some effort.
2. Apify
Apify is a full platform for web scraping.
They have a huge library of ready-made tools. These are called "actors."
You can find an actor for almost anything, including scraping Walmart.
It's perfect for getting large amounts of data without managing all the technical stuff yourself.
Key Benefits
- A wide range of pre-built scraping tools (actors).
- Scalable cloud platform for running tasks.
- APIs for custom integrations.
- Options for building your actors.
Pricing
- Free: $0/month.
- Starter: $35/month.
- Scale: $179/month.
- Business: $899/month.
Pros & Cons
Here's my take on Apify:
Pros:
- Huge selection of ready-made tools.
- Very scalable cloud infrastructure.
- Good for developers with its APIs.
- The free tier is great for trying things out.
Cons:
- It can be a little bit complex sometimes.
- Costs can add up with heavy usage.
- The quality of actors can vary.
Rating
8.5/10
Apify is a powerful and flexible platform with a lot to offer, especially for developers and those with more complex needs. However, the sheer number of options and the usage-based pricing might be a bit daunting for beginners.
3. Octoparse
Octoparse is a user-friendly, no-code scraper.
You don't need to know how to code at all. It works with a point-and-click interface.
You click on the data you want, and it builds a scraping rule.
It's a great choice for beginners or small businesses.
Key Benefits
- Visual point-and-click interface.
- Cloud-based scraping capabilities.
- Scheduled scraping and automation.
- Ability to handle complex websites.
Pricing
- Free: $0/month.
- Standard: $99/month.
- Professional: $249/month.
- Enterprise: Custom Pricing
Pros & Cons
Here's my take on Octoparse:
Pros:
- Very user-friendly interface.
- Great for non-coders like me.
- Cloud scraping is super handy.
- Scheduling is a big time-saver.
Cons:
- It can get pricey for teams.
- Cloud server limits exist.
- Sometimes struggles with very dynamic sites.
Rating
8/10
Octoparse is fantastic for people who don't want to code, and the cloud features are a real plus. However, the cost for teams can add up, and it's not always perfect with super complex websites. The lack of a specific warranty is also a minor drawback.
4. Browse AI
Browse AI is another no-code tool.
You can train a "robot" in minutes to get data from any website.
It's really fast and simple.
You can even set it up to monitor websites for changes and get alerts.
Key Benefits
- No-code, visual data extraction.
- Ability to monitor website changes.
- Integration with popular automation tools.
- Pre-built robots for common use cases.
Pricing
- Free: $0/month.
- Starter: $19/month.
- Professional: $99/month.
- Team: $249/month.
Pros & Cons
Here are my thoughts on Browse AI:
Pros:
- Extremely easy to get started.
- No coding knowledge needed at all.
- Monitoring changes is a great feature.
- Integrates with many other tools.
Cons:
- It can become expensive as you scale.
- Might not handle very complex sites.
- Relies heavily on visual recognition.
Rating
7.5/10
Browse AI's ease of use is a huge advantage, especially for non-technical users. The ability to monitor changes is also very valuable. However, the cost can add up, and it might not be the best for the most intricate website structures.
5. ScrapingBee
ScrapingBee is an API-based tool. It's for developers who want to handle scraping with code.
It takes care of a lot of the boring parts for you.
Features like proxy rotation and JavaScript handling are all built in.
This makes your scraping projects much more reliable.
Key Benefits
- Handling of proxies and CAPTCHAs.
- JavaScript rendering for dynamic sites.
- Simple API for easy integration.
- Geolocation targeting for specific data.
Pricing
- Freelance: $49/month.
- Startup: $99/month.
- Business: $249/month.
- Business+: $599/month.
Pros & Cons
Here's what I think about ScrapingBee:
Pros:
- Great at avoiding blocks and captchas.
- Handles JavaScript websites well.
- Simple API is easy to use.
- Good for reliable data delivery.
Cons:
- Less control over the scraping process.
- It can become costly for large volumes.
- Fewer visual tools for non-coders.
Rating
7/10
ScrapingBee is well known for its fast scraping. If you're tired of getting blocked while scraping, this service is excellent. It handles the technical headaches for you. However, it can get expensive for large-scale needs, and you have less direct control over the scraping logic.
6. Firecrawl
Firecrawl is an AI-powered web crawler.
It is built to get clean, structured data for AI models.
It's great at handling tricky, JavaScript-heavy sites.
It uses a smart system to wait for content to load.
This makes sure you get all the data, every time.
Key Benefits
- High-performance crawling engine.
- Real-time data delivery options.
- Scalable architecture for large projects.
- Integration with popular cloud platforms.
Pricing
- Free: $0/month.
- Hobby: $16/month.
- Standard: $83/month.
- Growth: $333/month.
Pros & Cons
Here's what I think about Firecrawl:
Pros:
- Incredibly fast for big jobs.
- Designed for large-scale scraping.
- Real-time data is very useful.
- Integrates well with cloud services.
Cons:
- It might be overkill for small tasks.
- Pricing can be less transparent upfront.
- Possibly requires more technical knowledge.
Rating
7/10
Firecrawl is a strong contender if you need to scrape massive amounts of data quickly. However, it might be too much for smaller projects, and getting clear pricing information can take an extra step.
7. ScrapeStorm
ScrapeStorm is an AI-powered scraping tool with a visual interface.
It has a "Smart Mode" that automatically finds data on a page for you.
This makes it super easy to use. It also has a "Flowchart Mode" for more detailed projects.
Key Benefits
- Fully automated scraping process.
- Intelligent pattern recognition.
- Support for various data export formats.
- Ability to handle complex website structures.
Pricing
- Free: $0/month.
- Professional: $49.99/month.
- Premium: $99.99/month.
Pros & Cons
Here are my thoughts on ScrapeStorm:
Pros:
- Automation is really impressive.
- It handles complex sites well.
- Lots of tasks on the basic plan.
- Good for users with less experience.
Cons:
- Less control over specific details.
- Advanced customization can be tricky.
- The interface might feel different initially.
Rating
6.5/10
ScrapeStorm's automation is a big plus, especially if you're dealing with many different websites. It's also quite capable of complex structures. However, the trade-off for automation is less fine-grained control, and the interface might take a little getting used to.
What to look for when choosing a Walmart Scraper?
- Anti-Bot Bypassing: Walmart has strong anti-bot systems. The best scrapers can handle CAPTCHAs and IP blocks. This ensures a consistent data flow.
- Scalability: Choose a scraper that can handle large volumes of data. It should work for small projects and large-scale, ongoing data needs.
- Data Quality and Output: Look for tools that provide clean, structured data. This saves you time on data cleaning later. Common formats include JSON, CSV, or Excel.
- Ease of Use: Some scrapers are no-code, while others are API-based. Pick one that fits your technical skills and project needs.
- Price: Compare pricing models. Some are credit-based, others are subscription-based. Consider your budget and the scope of your project.
How can Walmart Scrapers benefit you?
Using a Walmart data scraper can change how you do business.
It allows for smooth data extraction from the entire Walmart website, providing valuable data you can use.
You can easily get all the JSON data from any Walmart product page, including the product's price and details.
This web scraping Walmart process helps you stay ahead of the competition.
By using the right user agent, a Walmart web scraper lets you collect key product details and review data.
This Walmart data gives you insights into market trends and customer sentiment.
You can find out what people think about a specific Walmart product and adjust your strategy.
A good scraper also helps you gather data from other Walmart stores, giving you a full picture of the market.
With this desired data, you can make smarter business decisions.
Buyers Guide
When doing our research to find the best Walmart scraper, we determined our picks using these factors:
- Anti-Bot Measures and Compliance: We evaluated each tool's handling of Walmart's anti-bot measures. This included a user agent header, rotating proxies, and the ability to act like a human. We also looked for features that help ensure compliance with website terms. The goal was to see if the scraper could pass the "are you a robot or human?" tests, especially when faced with a "confirm that you're human" prompt.
- Data Extraction & Quality: We focused on tools that could extract data directly from the website. A key factor was their ability to obtain a specific status code and handle the HTTP requests needed for each Walmart product data search. We tested how well each tool could find a script tag or a span tag to get the JSON data in a clean JSON format. We also confirmed that they could get Walmart reviews and seller information across various categories.
- Ease of Use & Features: We evaluated how easy it was to use each tool. Some required a Python environment and a Python script to send HTTP requests, while others offered a simple API key. We looked for a step-by-step tutorial to see if a beginner could follow along. We tested whether we could obtain the desired data from product URLs and search results, and whether they could handle next page navigation up to a maximum number of pages. We also checked for features such as an "en-us" setting and how they handled the accept language and accept encoding headers.
- Performance & Reliability: We evaluated the speed and reliability of each scraper. We wanted to see how well they could handle a high volume of HTTP requests without getting blocked. We tested their ability to retrieve data from https://www.walmart.com and a specific location, such as https://www.walmart.com/ip. We also checked if they could handle headless browsers and successfully get the HTML content. The best scrapers were those that dealt with these complex tasks seamlessly, using the right import requests and necessary libraries, and returned a perfect JSON file with the scraping data.
Wrapping Up
We've explored the best Walmart scrapers for 2025.
You now know what to look for, from bypassing anti-bot measures to getting clean data.
Each tool on our list offers a unique way to extract data, whether you're a developer or a beginner.
To get started with a Python-based tool, you would open your terminal and type the following command.
This will help you activate your virtual environment and start your scraping journey.
You can't go wrong with any of the options we've provided, as each is a top performer in its own category.
Frequently Asked Questions
Is it legal to scrape Walmart?
Yes, it is generally legal to scrape publicly available data like product information. However, you should always check Walmart's terms of service and avoid scraping personal or copyrighted data.
How do I avoid getting blocked by Walmart?
Use a reliable scraping tool that includes rotating proxies and a user-agent header. These features make your requests seem like they are coming from a human, not an automated bot.
What kind of data can I scrape from Walmart?
You can scrape various types of data, including product names, prices, descriptions, images, reviews, and ratings. This information is valuable for market analysis and competitive intelligence.
Can I scrape product reviews?
Yes, most Walmart scrapers can extract customer reviews and ratings. This allows you to analyze public sentiment and gain deeper insights into what customers think about a product.
Do I need to know how to code to scrape Walmart?
No, not always. Many tools like Octoparse and Browse AI are no-code solutions with point-and-click interfaces. They are great for beginners who want to get started fast.