txt, excel, sql or custom api

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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!

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

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

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

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

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!

Ask a Question

What our customers say about working with us

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

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

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

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

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 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

Request more 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

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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

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Complexity of web sources
Frequency of data extraction
Maintenance of crawlers
Volume of data required
Post-processing requirements

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of your data projects are influenced by the following factors

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No more data freight, we get it right:transform chaosinto light!

No more data freight,
we get it right:
transform chaos
into light!