txt, excel, sql or custom api
Any Delivery way
pay after checking the result
No upfront payments
build exactly to your project
Custom solution
login protected, Dynamic Content
Any Source
Leave the Web Scraping to us.
We deliver the data, you make informed decisions. It's that easy!
We deliver the data, you make informed decisions. It's that easy!
No Code, just Data. We do all heavy lifting
No server setup
No more data freight,
we get it right:
transform chaos
into light!
up to 500 Million Pages Daily
High-scale
get data in 24h
Free Sample
Our team will ensure that all subsequent runs are running well and that your data us delivered as scheduled with the least disruption
Hassle-free maintenance
Once you've approved the sample data, we will start scaling and performing the full run and deliver the data in the agreed time frame
Start data collection
Send you a sample dataset before moving on a full scale crawl
Prepare data sample
How We Work
Discuss the specifics of your web data needs and the KPIs you would like to have in order to ensure successfull project execution
Initial Consultation
Predictable pricing based on requirements and usage
Easy communication channel to report data issues
Fully concierge experience from start to finish
No setup fees, No code, No learning curve
Data quality for management and reporting
Support for captchas, dynamic content, pagination, etc.
Advantages
Why choose Us Over Hiring In-House Developer
Navigating the legal aspects of web scraping can be challenging. Our services are well-versed in data privacy regulations and can help you stay compliant with relevant laws. Using an inexperienced developer may inadvertently expose your business to legal risks.
Compliance and Legalities
Hiring a developer can be expensive, especially if you require ongoing web scraping tasks. Our services offer cost-effective solutions tailored to your specific needs. You pay for the data you need, without the overhead of hiring and maintaining an in-house developer.
Cost-Effectiveness
Web scraping services are designed for efficiency. We can quickly set up and execute scraping tasks, delivering results in a fraction of the time it might take a developer to build and fine-tune scraping scripts.
Speed
and Efficiency
and Efficiency
We provide ongoing support and maintenance for your scraping tasks. If a website's structure changes or anti-scraping measures are updated, we adapt to these challenges and ensure your data flow remains uninterrupted.
Support
and Maintenance
and Maintenance
Our web scraping services are provided by a team of experts with years of experience in data extraction. We have honed our skills in navigating the complexities of websites, handling anti-scraping measures, and ensuring data quality. With a developer, you might encounter a learning curve and potential delays in achieving your goals.
Expertise
and Experience
and Experience
As your data needs grow, so does the complexity of web scraping.
We offer scalable solutions that can adapt to your evolving requirements. This flexibility ensures that you can access the data you need, even as your business expands.
Scalability
We prioritize data quality and consistency. Our scraping services include data cleansing and validation processes to ensure that the information you receive is accurate and reliable. Developers may not always have the same level of data quality expertise.
Data Quality Assurance
By outsourcing web scraping to us, you can free up your internal resources to focus on your core business activities. This allows you to concentrate on what you do best, while we handle the technical aspects of data extraction.
Focus on Your Core Business
How we can help you leverage web scraping to grow your business
Facebook, Instagram, Twitter, Pinterest, or any other platform. Gather social media data from the profiles that matter most to your business
Social
Media Profiles
Media Profiles
Accelerate your sourcing process with quality data on potential candidates, job listings, salary levels, trends by location, and more. Save time and make better hiring decisions
Recruitment
Scraping real estate data allows you to better evaluate property value, assess rental yields, forecast market direction, and identify investment opportunities sooner.Get any data point you need from multiple data sources
Real
Estate Data
Estate Data
Whether you're creating an article, report, whitepaper, or running a research project, we'll deliver you the necessary data, while you can focus on what you do best.
Sales
Data Analysis
Data Analysis
Save tons of time on gathering market data before you start building a new product or enter a new market, gather product reviews for sentiment analysis, and see where the untapped market opportunities are.
Market
Research
Research
Get data from eCommerce websites on product ratings and reviews, prices, availability, descriptions, images, and more.Gather insights that will give you an edge on your competitors.
Competitive Intelligence
for eCommerce
for eCommerce
Stay on top of price changes that your competitors make, know the trends behind them, and set your own prices to stay competitive.
Price
Monitoring
Monitoring
Get high-quality lists of targeted prospects for outreach campaigns. Enrich them with additional data points such as social profiles and company info for extra context.
Sales
Leads
Leads
Frequently Asked Questions
Is payment collected before or after delivery?
We only collect payment after we have delivered your data, and you are sufficiently satisfied with the output.
What format will my data be delivered in?
Data will be available in Excel or CSV, depending on user preference.
What does the price depend on?
Website complexity and the amount of data you need scraped. The more complex a website is and the more data you need, the more the project will cost.
When will I get my data?
It depends on the requirements of your project - the more complex the websites are and the more data you need, the more time it takes to scrape them. Simple projects can be delivered even within 2-3 days, more complex ones can take up to 2 weeks.
I need the data to be scraped on a custom schedule - can you do that?
Of course. How often the data will be scraped is completely up to you - be it daily, weekly, monthly, or any other schedule.
I need more data points - can you scrape them?
Sure, we can get other data points for both sellers and products - just let us know what you need!
What our customers say about working with us
Quite punctual in his observations and very professional. Very communicative, always in the guide to fulfill his work fully. Good job!
We could not have asked for a better or faster solution for a fairer price!
We could not have asked for a better or faster solution for a fairer price!
Michael Lee
Chief Marketing Officer
The web scraping services provided by DataScrape Solutions exceeded our expectations. Those guys were really good at grabbing a ton of data fast and accurate.
Plus, they knew their stuff, were always in touch, and cool to work with. I would recommend its services to anyone in need of web scraping service
Plus, they knew their stuff, were always in touch, and cool to work with. I would recommend its services to anyone in need of web scraping service
Jane Smith
Chief Operations Officer
Delivered exactly what we wanted on time, on budget. Great communication, would definitely work again.
They went beyond just delivering us the data, but making sure we had what we needed to manage it also.
They went beyond just delivering us the data, but making sure we had what we needed to manage it also.
Mark Johnson
CEO
Excellent company to work with. Willing to do whatever it takes to drive the outcome desired.
Zolymar Lopez
Marketing Officer
Cases
Social Network Insights for Strategic Decision-Making
Objective
A marketing firm seeks to leverage social media insights to enhance their campaigns and engagement strategies across Instagram, Twitter, and Facebook. The goal is to understand user sentiments, track competitors, and optimize content for better audience interaction.
Technical Parameters
We propose the development of a comprehensive social media analytics solution with a focus on Instagram, Twitter, and Facebook. The system will collect and analyze the following types of data.
Conclusion
By implementing this social media insights solution, the marketing firm gains a strategic advantage through a deep understanding of audience sentiments, competitor movements, and content performance. The ability to adapt quickly to changing trends and preferences enhances the overall effectiveness of their social media campaigns, ultimately leading to increased brand awareness and engagement.
Extraction of sentiments from user comments and posts to gauge the audience’s emotional response. The volume of sentiment data collected per day is estimated to be around 1 million data points.
Monitoring competitor activities, engagement rates, and content strategies. The system will scrape data on competitor posts, followers, and engagement, resulting in approximately 500,000 data points per day.
Analysis of post performance, including likes, shares, and comments, to refine content strategies. The system will collect data on post interactions, generating approximately 2 million data points per day.
1. User Sentiments:
2. Competitor Tracking:
3. Content Optimization:
Optimization of Pricing and Assortment in the Electronics Market
Objective
Technical Parameters: We are developing a web scraper focused on extracting data on prices and assortment from popular electronics retailers such as Amazon, Best Buy, and Walmart. The data will include:
Technical Parameters
We propose the development of a comprehensive social media analytics solution with a focus on Instagram, Twitter, and Facebook. The system will collect and analyze the following types of data.
Conclusion
The implementation of this project will empower the client to enhance competitiveness by making informed decisions based on real-time data. Automated market monitoring and analysis of user reviews will be pivotal in achieving business objectives and consolidating leadership in the electronics market.
- Continuous monitoring of prices for specific products enables the determination of optimal pricing strategies.
- Instant notifications of price reductions by competitors allow for quick reactions and adaptation of pricing.
- Analysis of the availability and release of new products helps the company maintain a relevant and competitive product offering.
- Utilizing reviews and ratings to identify popular products and shape the assortment accordingly
- Systematic analysis of reviews and ratings provides insights into what consumers value in products.
- Enables the company to create more targeted marketing strategies and improve service quality.
1. Optimization of Pricing:
2. Assortment Management:
3. Analysis of User Preferences:
Enhancing Decision-Making
Through Car Auction Site Data Analysis
Through Car Auction Site Data Analysis
Objective
An automotive dealership is aiming to improve its inventory management and pricing strategies by leveraging insights from various car auction sites. The goal is to stay competitive, optimize purchasing decisions, and maximize profitability.
Technical Parameters
We propose the development of a tailored web scraping solution targeting prominent car auction sites such as Copart, Manheim, and IAA.
The system will collect and analyze the following types of data:
Conclusion
By implementing this web scraping solution, the automotive dealership gains a competitive edge in the dynamic car auction market. Real-time insights into vehicle listings, bidding history, and market trends enable the company to make informed decisions, optimize inventory, and implement pricing strategies that lead to increased profitability and customer satisfaction.
Scraping detailed information about vehicles listed for auction, including make, model, year, mileage, and condition. The expected volume is around 50,000 listings per day across the selected auction sites.
Extracting data on bidding history, including bid amounts, bidder information, and timestamps. This data is crucial for understanding market demand and pricing trends, with an estimated volume of 100,000 bidding records per day.
Collecting images and condition reports to assess the physical state of vehicles. This includes details on any damages or modifications. The volume is anticipated to be approximately 20,000 images and reports per day.
1. Vehicle Listings:
2. Bidding History:
3. Vehicle Conditions and Images:
Data-Driven Decision Making
for Government Policy Analysis
for Government Policy Analysis
Objective
A public policy research institute aims to enhance its data-driven decision-making capabilities by extracting and analyzing relevant information from various government websites. The goal is to facilitate evidence-based policy research, monitor legislative changes, and streamline data retrieval processes.
Technical Parameters
We propose the development of a customized web scraping solution targeting government websites such as official legislative databases, public records repositories, and statistical agencies. The system will collect and analyze the following types of data:
Conclusion
By implementing this social media insights solution, the marketing firm gains a strategic advantage through a deep understanding of audience sentiments, competitor movements, and content performance. The ability to adapt quickly to changing trends and preferences enhances the overall effectiveness of their social media campaigns, ultimately leading to increased brand awareness and engagement.
- Scraping details of proposed, enacted, and amended legislation, including bill titles, sponsors, status, and key dates. The volume is estimated to be around 5,000 legislative documents per day.
- Sources: Congress.gov, Govinfo.gov, THOMAS
- Extracting public records such as court decisions, regulatory filings, and official reports. This includes data on legal cases, administrative rulings, and government publications, with an estimated volume of 10,000 records per day.
- Sources: Public Access to Court Electronic Records (PACER), Federal Register, USA.gov
- Collecting statistical data released by government agencies, covering areas such as economic indicators, demographic information, and public health statistics. The expected volume is approximately 2,000 data points per day.
- Sources: Bureau of Labor Statistics, U.S. Census Bureau, Centers for Disease Control and Prevention (CDC)
1. User Sentiments:
2. Public Records:
3. Statistical Information:
Customer Sentiment
Analysis Across Diverse Platforms
Analysis Across Diverse Platforms
Objective
A retail brand is committed to understanding and improving customer satisfaction by aggregating and analyzing customer reviews from various online platforms. The aim is to gain insights into customer sentiments, identify areas for improvement, and enhance overall customer experience.
Technical Parameters
We propose the development of a comprehensive web scraping solution targeting customer reviews from prominent online platforms. The system will collect and analyze customer feedback from the following sources:
Conclusion
This web scraping solution empowers the retail brand with a deep understanding of customer sentiments across diverse online platforms. Real-time access to customer reviews, sentiment analysis, and competitor benchmarking enable the brand to make informed decisions, enhance product quality, and tailor strategies for a more satisfying customer experience.
- Source: Amazon
- Volume: Approximately 10,000 customer reviews per day.
- Source: Google
- Volume: Estimated to be around 5,000 customer reviews per day.
- Source: Yelp
- Volume: Collecting data from approximately 3,000 customer reviews per day.
1. Amazon Customer Reviews:
2. Google Business Reviews:
3. Yelp Reviews:
- Source: Trustpilot
- Volume: Aggregating data from approximately 2,000 customer reviews per day.
4. Trustpilot Reviews:
Dynamic Loan and Mortgage
Optimization through Bank Rate Analysis
Optimization through Bank Rate Analysis
Objective
A fintech startup specializing in loan and mortgage services aims to refine its offerings by conducting real-time analysis of current interest rates and terms offered by various banks. The goal is to stay competitive, optimize lending operations, and provide customers with the most favorable financial solutions.
Technical Parameters: We propose the development of a sophisticated web scraping solution that targets financial and real estate data. The system will collect and analyze data from the following additional sources, specifically focusing on the loan and mortgage rates of major banks:
Technical Parameters: We propose the development of a sophisticated web scraping solution that targets financial and real estate data. The system will collect and analyze data from the following additional sources, specifically focusing on the loan and mortgage rates of major banks:
Technical Parameters
We propose the development of a customized web scraping solution targeting government websites such as official legislative databases, public records repositories, and statistical agencies. The system will collect and analyze the following types of data:
Conclusion
By implementing this social media insights solution, the marketing firm gains a strategic advantage through a deep understanding of audience sentiments, competitor movements, and content performance. The ability to adapt quickly to changing trends and preferences enhances the overall effectiveness of their social media campaigns, ultimately leading to increased brand awareness and engagement.
- Source: Chase Bank
- Data Types: Interest rates, loan terms, and eligibility criteria.
- Volume: Regular updates to analyze offerings from Chase Bank.
- Source: Bank of America
- Data Types: Mortgage rates, loan types, and relevant terms.
- Volume: Periodic extraction for comprehensive rate analysis.
- Source: Wells Fargo
- Data Types: Interest rates, loan options, and qualification requirements.
- Volume: Regular updates for detailed comparative analysis.
1. Chase Bank Loan Rates:
2. Bank of America Mortgage Rates:
3. Wells Fargo Loan Rates:
- Source: Citibank
- Data Types: Mortgage rates, terms, and special offers.
- Volume: Continuous monitoring for competitive benchmarking.
- Source: JPMorgan Chase
- Data Types: Mortgage rates, loan product details, and eligibility criteria.
- Volume: Regular extraction for real-time rate comparisons.
- Source: US Bank
- Data Types: Interest rates, loan terms, and lending conditions.
- Volume: Consistent updates for thorough analysis of US Bank's offerings.
4. Citibank Mortgage Rates:
5. JP Morgan Chase Mortgage Rates:
6. US Bank Loan Rates:
Top Cases
- 5,5 billion users profiles
- 120 billions follower relations
- 120 millions locations
- 700k verified accounts profile data
Instagram
- 3 billion users profiles
- 80 billions follower relations
- 900k verified accounts profile data
Twitter
- 5,5 billion users reviews
- 130 millions locations
Google Maps
- 9m artists, 1,6m verified artists
- 5m playlists
- 40m tracks
Spotify
Price
- Get sample data for free
- Fixed price, we will not change it after starting the scraping process
- Pay after checking the result
Key points about our prices
Data extraction service starts from
$299
- Complexity of web sources
- Frequency of data extraction
- Maintenance of crawlers
- Volume of data required
- Post-processing requirements
The pricing
of your data projects are influenced by the following factors
of your data projects are influenced by the following factors
Tell us more about the data you need
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