Data Scraping
Making data sing.Chaos into brilliant insights.
Tough Websites?
- Behind logins
- Pagination
- Dynamic websites
- Load more buttons
- Scrolling data
- Hidden APIs
Rapid Data
- 100,000+ weekly data
- Scheduled data - like clockwork
- 24hrs for smaller datasets
Website Types
- Directories
- E-commerce
- Events
- Restaurants
- Social media
- Anything else
Delivered Your Way
- .json
- .csv
- .xlsx
- Straight to a DB
*MOBILE APP SCRAPING AVAILABLE
Data Scraping
What:
Directories are websites that organise businesses amongst various categories. Categories can be based on locations, industries, size, or activities. Directory scraping involves collecting the information listed on directory websites. For example, a scraper might extract all the names, phone numbers, and email addresses from a directory of local businesses. Data is provided in a structured Excel spreadsheet format, making it easier to analyse and use. At DataGro.io, we specialise in accessing difficult data. Whether it is pagination, hidden API’s, or login screens, we scrape and deliver from all directory websites.
Why:
- Data Collection: Scraping directories is an efficient way to gather large amounts of data that can be used for various purposes, such as market research, lead generation, or building a database of contacts.
- Competitive Analysis: Companies might scrape directories to analyse competitors, understand market saturation, or identify potential business opportunities.
- Lead Generation: By scraping directories, businesses can collect leads, including emails and phone numbers, which can then be used in targeted marketing campaigns.
Practical Applications:
- Real Estate Agencies: Scraping property directories to track available listings and price trends.
- Recruitment Firms: Collecting data on professionals from career directories to match them with job opportunities.
Case Study: How we scraped business directories for a client
What:
E-commerce websites contain large lists of products. Some are focussed on niche industries such as plumbing, electrical, or sports. Others cover a wide range of overlapping categories. Due to the large amount of data to be extracted and the need for accuracy, it makes sense to employ scraping to extract data from e-commerce websites. For example, a scraper might collect product details, prices, customer reviews, and stock levels from online stores. The data is typically provided in structured Excel formats like CSV, JSON, or XML, making it easier to analyse and integrate with business strategies. At DataGro.io, we specialise in accessing difficult e-commerce data. From interface alterations to anti-scraping tech and cloaking, we ensure successful scraping and delivery of data from all e-commerce platforms
Why:
- Price Monitoring: Scraping allows businesses to monitor competitors’ prices in real-time, helping them adjust their pricing strategies to remain competitive.
- Market Research: Companies can gather data on products, trends, and customer preferences to inform product development and marketing strategies.
- Inventory Management: By tracking stock levels on competitor sites, businesses can optimise their inventory and anticipate market demands.
- Customer Sentiment: Scraping customer reviews helps businesses understand consumer opinions and improve their products or services.
Practical Applications:
- Price Comparison Websites: Aggregating prices from multiple e-commerce sites to help consumers find the best deals.
- Dynamic Pricing Engines: Adjusting product prices automatically based on competitor pricing data.
What:
With tight margins and fluctuating prices, the restaurant industry is cut-throat. It’s no wonder businesses employ restaurant scraping to gain an edge. Restaurant owners are extracting competitor menu data to create innovative menus and exclusive deals that set them apart. Understanding the industry pricing for various items can help develop a competitive pricing strategy. A scraper might collect information such as restaurant names, addresses, menus, item modifiers, reviews, and ratings. At DataGro.io, we specialise in accessing difficult restaurant website and restaurant app data. Following a particularly tricky 50 state scrape involving a pizza chain that no one else could access, our name is still whispered in awe.
Why:
- Menu Aggregation: Businesses can compile menus from multiple restaurants to create a comprehensive food delivery or restaurant discovery platform.
- Competitive Analysis: Scraping data on competitor menus, pricing, and customer reviews helps restaurants refine their offerings and pricing strategies.
- Customer Sentiment: Scraping reviews and ratings allows businesses to understand customer preferences and improve their service or menu items.
Practical Applications:
- Restaurant Discovery Platforms: Aggregating restaurant information from various sources to help users find dining options based on location, cuisine, or price.
- Food Delivery Services: Scraping menu and pricing data to offer a wide range of delivery options from multiple restaurants.
- Review Analysis Tools: Collecting and analysing customer feedback to identify popular dishes and areas for improvement.
- Market Intelligence: Using scraped data to monitor trends in the restaurant industry, such as emerging cuisines or popular dining areas.
What:
Social media scraping is the process of collecting data from social media platforms such as TikTok, Instagram, Facebook, Twitter/X, and the like. Social media data is currency and customer trends are roads to profit. Social media scraping involves collecting large scale data from social media platforms. a scraper might extract posts, comments, user profiles, hashtags, and engagement metrics such as likes or shares. At DataGro.io, we specialise in accessing social media data. One of our recent projects was based around real time Twitter/X sports betting. Learn more here.
Why:
- Sentiment Analysis: Scraping social media allows businesses to gauge public opinion on their brand, products, or services by analysing posts and comments.
- Trend Monitoring: Companies can track trending topics, hashtags, and influencers to stay ahead of market trends and adapt their marketing strategies accordingly.
- Competitive Analysis: Monitoring competitors’ social media activity helps businesses understand their strategies, customer engagement, and public perception.
- Lead Generation: By analysing user interactions and profiles, businesses can identify potential customers and target them with personalised marketing campaigns.
Practical Applications:
- Brand Monitoring Tools: Aggregating mentions of a brand across social media platforms to track reputation and customer sentiment.
- Influencer Marketing: Scraping data to identify and evaluate potential influencers for marketing collaborations based on their reach and engagement.
- Content Creation: Using scraped data to understand what content resonates with audiences, allowing for more effective and targeted content creation.
- Market Research: Analysing social media data to understand consumer behaviour, preferences, and emerging trends in various industries.
What:
Google accounts for around 92% of all search traffic. In terms of web traffic, a significant percentage of all internet traffic flows through Google’s various services including Google Maps. Google’s dominance positions it as one of the most visited websites globally, with billions of users relying on its platforms daily. Google scraping involves extracting data from Google search results or services like Google Maps, Google Reviews, or Google Shopping. For example, a scraper might collect information such as search rankings, business listings, reviews, or product prices. This information is used by an array of professionals, from SEO specialists and marketers, to data scientists and analysts. The data procured through this method is considered raw and is highly valuable for making data-driven decisions. At DataGro.io, we specialise in accessing difficult Google Search and Maps data. Whether it is circumventing IP Blocking, or getting through Captcha, and other technical challenges. We scrape and deliver all the Google data you need.
Why:
- SEO Analysis: Scraping Google search results helps businesses monitor their website rankings, understand keyword performance, and analyse competitors’ SEO strategies.
- Local Business Data: Scraping Google Maps allows businesses to gather data on competitors, customer reviews, and locations for market analysis.
- Price Monitoring: Scraping Google Shopping enables companies to track product prices and availability, helping them adjust pricing strategies or identify opportunities.
- News Aggregation: Scraping Google News provides businesses with timely updates on industry trends, competitor activities, and global events.
Practical Applications:
- SEO Tools: Developing tools that track website rankings, keyword performance, and backlinks by scraping Google search results.
- Local Marketing: Aggregating data from Google Maps to identify high-demand areas, competitor presence, and customer reviews for targeted marketing.
- E-commerce Price Comparison: Scraping Google Shopping to compare product prices across different sellers and offer consumers the best deals.
- News Monitoring Services: Using scraped data from Google News to stay updated on industry news, trends, and competitor activities.
- Academic and Market Research: Scraping Google search results, Google Scholar, or Google Trends to gather data for academic studies, market analysis, or consumer behaviour research. This helps researchers identify patterns, track trends, and gather relevant information across various fields.
Case Study: How we scraped Google and Social media for a client
With over 10 years experience, we at DataGro.io are the scraping specialists. If data is out there and available, we have the expertise to access, scrape and enrich it.
DataGro.io offers comprehensive solutions, including automated scraping across various platforms. Delivering clean, structured data directly to your inbox.
Our bespoke services, combined with expertise in Google and mobile app scraping, make us a go-to for efficient and reliable data extraction. We’ve worked with some very big companies, lots of small companies, and everyone in between.
Popular Questions
What data can you scrape?
Think of us as digital ninjas – we can grab almost anything online.
We specialise in extracting a wide range of data.
Whether it’s data hidden behind login screens, embedded within dynamic pages, or concealed behind interactive elements like pop-ups and click features, we have the expertise to access and retrieve it.
Before we start, we conduct a thorough test of the site to ensure we can meet your needs while adhering to ethical guidelines – only extracting publicly available data, no hacking involved.
We’ve probably mentioned this before but it’s worth shouting about, we can extract data from mobile apps too!
How much data can be scraped?
There’s no limit to the amount of data we can scrape for you.
Our capabilities range from scraping just a few necessary data points to handling extensive projects involving millions of rows.
Our team of data scraping specialists is equipped to turn around large volumes of data swiftly, even handling regular projects that involve scraping over a million rows of data.
How long does data scraping take?
The timeframe for a data scraping project can vary but often starts from as little as 24 hours.
The duration depends on several factors including the volume of data you need, the number of data fields being extracted, and the specific structure of each website we work with.
We provide customised quotes based on the complexity of each project to give you a clear timeline.
How much does it cost?
Pricing for our data scraping services is based on a fixed-cost agreement, ensuring you have a clear understanding of the charges upfront.
The cost is determined by the volume of data and the structure of the website from which the data is being extracted.
Once we understand your project’s requirements, we provide a detailed quote, ensuring transparency and clarity in pricing.
Website scoping and scraping feasibility is completely free. Drop us an email: datascraping@datagro.io
DATA SCRAPING ● DATA ANALYSIS ● EXCEL EXPERTISE ● DATA ENRICHMENT ● BUSINESS FINDER ● CONTACT FINDER ● SEARCH RESULTS EXTRACTOR ●
Contact
Talk to us about our services
Book a call here: calendly.com/datagro/phonecall