The Best Web Scraping Companies For Competitive Data in 2026
- Raquell Silva
- 6 minutes ago
- 10 min read

Every smart business decision in 2026 starts with one thing: Data.
But not just any data. You need real-time pricing, product trends, customer behavior, and competitor moves. Most of that information already exists online, but it is scattered across thousands of platforms.
This is where web scraping companies for competitive data come in.
These companies collect and organize massive amounts of public web data so businesses can track competitors and spot trends. So, rather than manually checking prices, you get datasets that show what is happening across your industry.
In this guide, we will break down the best web scraping companies for competitive data in 2026 and how you can choose the right one for your business.
8 Best Web Scraping Companies for Competitive Data 2026
Below are the 8 best web scraping companies for competitive data in 2026. Each of the companies are hand-picked and tested to see which ones offer the best real-time data for business success.
Company | Best For | Service Type | Ideal Users |
Ficstar | Enterprise competitive data | Fully managed service | Enterprises, Pricing, BI and Data teams |
Bright Data | Large-scale web data | API, datasets, and proxies | Enterprises, AI teams, and data engineers |
Oxylabs | Global price & market data | API and proxy infrastructure | Data teams, e-commerce, and travel platforms |
Zyte | Developer-driven scraping | API and Scrapy ecosystem | Developers, SaaS, and data analysts |
Octoparse | No-code data extraction | Desktop and cloud-based tool | Marketers, analysts, and small businesses |
Apify | Custom automation | Cloud platform and marketplace | Developers, growth teams, and startups |
Data pipelines and automation | Visual web data platform | Business analysts and data teams | |
ScrapingBee | API-based web scraping | Web scraping API | SaaS teams and internal tools |
Top Competitors in Web Scraping Services and Competitive Intelligence Data Providers
Let’s discuss the top competitors in web scraping services and competitor intelligence data providers, and why they stand out.
1. Ficstar - Enterprise Web Scraping & Competitive Data Solutions

Ficstar is one of the best web scraping companies for competitive data pricing. It provides fully managed data extraction services for enterprise clients worldwide. Ficstar is trusted by 200+ enterprise clients for reliable data solutions
Since its founding, Ficstar has focused on delivering customized web data solutions that help businesses collect accurate, up-to-date information. What makes Ficstar different from many scraping tools is that it is not a self-service platform.
Rather, it operates as a full-service partner, building, maintaining, and delivering structured data workflows. This means Ficstar handles everything from crawler design to quality assurance and final data delivery.
What Ficstar Covers
Ficstar builds custom data pipelines for many types of competitive and market data, including:
Competitor Pricing: Track prices, discounts, product details, and availability across competing websites.
E-commerce and Product Listings: Monitor product listings, SKUs, category changes, and inventory updates from major online stores.
Real Estate Market Trends: Collect property listings, pricing history, and market movement data from real estate platforms.
AI Data: Provide your AI models with dependable data to uncover powerful insights and drive innovation.
Job and Labor Market Data: Gather hiring trends, job listings, and workforce signals across industries.
Ficstar also provides customize data collection, designed specifically for your business goals, empowering you to make smarter decisions.
Why You Should Choose Ficstar
Websites change all the time. Pages break. Anti-bot systems block scrapers. Ficstar takes care of all of that behind the scenes. You simply tell them what data you need, and they deliver it on a schedule you choose.
Another reason Ficstar is trusted is data quality. They use more than 50 quality checks to make sure the data is accurate, complete, and consistent before it reaches the client. This means fewer errors, fewer duplicates, and less cleanup work for your team.
2. Bright Data - Enterprise Web Scraping

Bright Data (formerly Luminati Networks) is a leading enterprise web scraping infrastructure platform trusted by thousands of enterprises for large-scale data collection. It offers a massive global proxy network, powerful scraper APIs, and tools to access structured data from virtually any public website.
The platform includes a wide range of solutions such as Web Scraper APIs, browser-based scraping tools, and pre-built datasets. These tools automate common challenges like IP rotation, CAPTCHA solving, and data formatting.
What Bright Data Covers
Web Scraper API: Automated extraction with structured outputs.
Extensive Proxy Network: Over 150 million IPs from 195+ countries for unblocked access.
Data Delivery Options: API, datasets, or custom export formats.
Pre-Built Datasets: Ready-made structured data for common use cases.
JavaScript and Browser Support: Enables scraping of dynamic sites without additional setup.
Why Choose Bright Data
Bright Data stands out because it combines one of the world’s largest proxy networks with scraping tools that handle tough targets. Moreover, the broad range of IP types gives teams the flexibility to scrape nearly any public site without getting blocked.
3. Oxylabs - Scraping Solution for Competitive Data

Oxylabs is a well-established provider of proxies and web scraping APIs designed for high-volume data extraction across industries. It is widely used by enterprises that require global data access, advanced automation, and strong infrastructure support.
What distinguishes Oxylabs is its large IP pool and toolset. Beyond proxies, Oxylabs offers a suite of scraper APIs and browser handling tools that help businesses collect data even from complex sites.
What Oxylabs Covers
Residential and Datacenter Proxies: Massive global coverage for reliable unblocking.
Web Scraper APIs: Generalized scraping endpoints for most sites.
Unblocker Tools: Helps bypass bot defenses and access hard targets.
Advanced Geo-Targeting: Target data by region, city, or ZIP where applicable.
AI-Enhanced Features: Tools like AI parsing and automation support.
Why Choose Oxylabs
With one of the largest proxy networks in the world and powerful scraping APIs, it can handle intensive scraping workloads without frequent failures. In short, it’s a great fit for teams that need a strong automated tool for extracting structured web data.
4. Zyte - Developer-Friendly Web Scraping

Zyte (formerly ScrapingHub) is a strong, long-standing name in the web scraping ecosystem and a pioneer in structured data extraction tools. Founded by the creators of the open-source Scrapy framework, Zyte blends powerful APIs with tools that support both manual and automated scraping workflows.
This platform is known for AI-assisted scraping, strong support for Scrapy spiders, and flexible configuration. While it has a history rooted in developer-centric tools, it has evolved to provide scraping APIs and services that help businesses collect competitive data.
What Zyte Covers
Zyte API: Flexible scraping API for structured data.
AI Features: Tools that simplify parsing and handle layout changes.
Proxy Management: Built-in proxy handling to reduce blocks.
Scrapy Cloud Support: Ideal for teams already using Scrapy.
Custom Extraction Tools: For advanced or complex scraping tasks.
Why Choose Zyte
Zyte often appeals to teams that want a developer-friendly but powerful scraping API. Its deep integration with the Scrapy ecosystem makes it a natural choice for organizations that already use Python or Scrapy spiders.
5. Octoparse - No-Code Web Scraping for Business Users

Octoparse is a web scraping platform built for people who want data without writing code. It uses a visual interface where users can click on the website elements and tell the system what data to extract. This makes it popular with marketers, researchers, and e-commerce teams.
The platform supports cloud-based scraping, so data can be collected automatically even when the user is offline. It also handles pagination, logins, and dynamic content, which allows it to scrape complex websites.
What Octoparse Covers
Data Collection: Grab product listings, prices, and content without coding.
Automated Cloud Scraping: Run scheduled extractions in the cloud so data updates regularly.
Dynamic Content Handling: Scrapes sites with pagination, infinite scroll, and interactive elements.
Export in Multiple Formats: Export scraped data to Excel, CSV, JSON, or databases.
CAPTCHA & Anti-Bot Support: Built-in features help reduce blockages.
Why Choose Octoparse
It stands out because it makes web scraping accessible to non-developers while still offering powerful automation features. Teams can set up complex extraction jobs visually, schedule ongoing runs, and get structured data without writing code.
6. Apify - Scalable Cloud Web Scraping

Apify is a cloud-based web scraping and automation platform designed for extracting data at scale from any public website. It supports both pre-built scraping tools and custom scraper builds called Actors, which are reusable automation scripts.
Businesses use Apify to gather competitive pricing data and integrate scraped results directly into workflows. Because of its large marketplace of Actors and API support, Apify suits developers and data teams who need flexible scraping solutions.
What Apify Covers
Pre-Built Scraping Tools: Ready-to-use scrapers for sites like social media or marketplace from the Apify Store.
Custom Scraper Creation: Build custom scrapers using SDKs and deploy them at scale.
Competitive Intelligence Data: Extract product details, prices, and competitor info systematically.
Lead Generation: Pull business listings, review, and social media metrics.
API and Scheduling: Schedule ongoing extraction jobs and deliver data through APIs.
Why Choose Apify
Users mostly choose it for its flexibility and scale. It lets developers customize scraping tasks, automate workflows, and handle large volumes of data with little overhead. Additionally, the marketplace of pre-built Actors speeds up deployments for common use cases.
7. Dexi.io - Visual Web Scraping & Data Integration

Dexi.io is a cloud-based web scraping and data extraction tool that helps users collect and prepare web data without traditional coding. It provides a visual interface and supports extraction, transformation, and integration within the same platform.
It allows users to capture structured data from websites and prepare it for reporting or analytics. Moreover, the tool is flexible enough for both non-technical users and advanced teams. With it, you can extract data from various sources and then clean, transform, and deliver that data to spreadsheets.
What Dexi.io Covers
Structured Data Extraction: Pull specific fields from websites and turn them into clean tables.
Automated Workflows: Set up scraping tasks that run automatically over time.
Data Transformation: Clean, merge, and prepare scraped data before export.
Integration Capabilities: Send data to apps, APIs, or storage systems.
No-Code Interface: Visual tools let non-developers configure extractors and pipelines.
Why Choose Dexi.io
Businesses choose Dexi.io because it blends data extraction with integration workflows. Instead of just pulling data, you can also prepare and connect it to other tools. This simplifies competitive research, market tracking, and analytics processes.
8. ScrapingBee - Web Scraping API for Developers

ScrapingBee is a developer-focused web scraping API for SaaS web scraping. It simplifies web data extraction by handling proxy rotation, JavaScript rendering, and CAPTCHA bypasses automatically. With a clean API interface, developers can request specific web pages and receive structured results without managing their own infrastructure.
This tool is ideal for teams building data pipelines, apps, or analytics systems. Especially where scraped data needs to feed into other software components seamlessly.
What ScrapingBee Covers
General Web Scraping: Pull HTML content and data from public websites with one API call.
JavaScript Rendering Support: Extract data from modern and dynamic pages.
Automatic Proxy Rotation: Helps avoid IP blocks and rate limits.
AI-Assisted Extraction: Use plain English to guide scraping tasks.
Screenshot Capture: Capture page visuals for reports or verification.
Why Choose ScrapingBee
It is popular because it takes the complexity out of scraping for developers. Teams can focus on building insights and products instead of managing proxies, headers, and scraping scripts. Lastly, its API-first model fits naturally into apps and workflows.
Things to Consider Before Choosing a Web Scraping Company
Choosing the right web scraping company can make or break your competitive data strategy. That’s why, here are the key factors that you must consider before you start fishing for a web scraping company:
1. Data Accuracy and Reliability
If the data is wrong, everything you do with it becomes risky. A single missing price, a duplicate SKU, or even a misread “out of stock” label can lead to bad decisions, especially when you’re monitoring competitors weekly or daily.
This is why data quality is not a small detail. In fact, Gartner has reported that poor data quality costs organizations at least $12.9 million per year on average. That number matters as web scraping creates “raw” data first, and raw data often needs validation.
So, make sure to check if the company validates data fields like price, currency, availability, and timestamps.
2. Scalability and Volume
A small scraping project is easy. But the real test is what happens when you need 10x more pages, more countries, and more update frequency. If a provider struggles at scale, your data starts arriving late, incomplete, and inconsistent.
For this, ask yourself:
How many pages or products do you need tracked?
Do you need daily updates, hourly updates, or near real-time?
Can they add new competitors quickly without rebuilding everything?
3. Freshness and Update Frequency
Competitive data has an expiry date. This means if your competitor changes prices today and you see it next week, that insight is already too late.
It’s also why many data teams lose time maintaining pipelines. Even a report by Wakefield Research found that the average data engineer spends 44% of their time maintaining data pipelines.
In this case, your key questions should be:
How often can you refresh data?
Do they offer scheduling and automation?
What happens when a target site changes?
4. Pricing Clarity and True Value
Cheap scraping can get expensive if you’re constantly fixing messy data or dealing with broken runs. A higher-priced provider can be worth it if they deliver clean data output, stable updates, and reliable support.
So, before choosing, ask:
Are there extra charges for proxies, CAPTCHA, rendering, or support?
Is pricing based on requests, pages, records, or datasets?
Can you get a sample dataset to check the quality?
Pro Tip: Before you commit, ask for a sample dataset from one competitor site you care about. You’ll instantly see data quality, formatting, and whether the provider understands your needs. |
Let Ficstar Handle Your Web Scraping Needs
By now, one thing should be clear.
There is no shortage of web scraping companies in 2026. However, that is also what makes it overwhelming. You don’t want to choose the wrong provider that leaves you with broken scrapers or data you cannot trust.
That is why we recommend Ficstar as your official web scraping partner for competitive data in 2026.
Instead of forcing you to deal with tools and technical setup, Ficstar works with you as a data partner. You tell them what markets, products, or competitors you want to track, and they take care of everything else.
FAQs
1. What type of data can I collect with web scraping?
Web scraping lets you collect many types of public online data, including product prices, reviews, stock availability, real estate data, job postings, and more. This data is often used for competitor tracking, market research, lead generation, and pricing analysis to help businesses make smarter decisions.
2. Do I need coding skills to use web scraping companies?
In most cases, no. Many web scraping companies offer fully managed services or no-code tools that let you get data without writing any code. You simply tell them what data you need, and they handle the technical work, data collection, and delivery for you.
3. What happens if a website blocks scraping?
Professional web scraping companies use tools like proxy networks, browser automation, and IP rotation to reduce blocks. If a site changes or blocks access, the provider updates their system to keep data flowing. This is one reason why using a professional service is better than doing it alone.