Best Web Scraping Datasets, Databases & APIs

Find the right Web Scraping Data: Search, preview & buy data securely via Datarade.
39 Results

Web Scraping, Web Automation and Business List building Service

by B2B Email Databases
Our web data scraping/web crawling service helps you turn the web data into actionable insights in the ... We also agree to furnish for a variety of web data scraping projects of any type or nature.
Available for 249 countries
15K records
1 years of historical data
100% quality
Starts at
$250$225 / per small we...
10% Datarade discount
Free sample available

Scrape LinkedIn Company Data using Web Scraping Having Global Coverage

by X-Byte
2021 data. ... 2021 data.
Available for 249 countries
57 million
Pricing available upon request
Free sample available
5.0(1)

Web Scraping and Machine learning Services by PREDIK Data-Driven

by Predik Data-driven
How to get data for Machine Learning Projects using Web Scraping? ... Make data gathering easier for any custom web scraping project on country and city-level that handles
Available for 176 countries
10M records
10 years of historical data
95% records accuracy
Pricing available upon request

Custom Web Data Services | Data scraping | Data extraction (Product Data, Business Data, Lead generation

by Wersel Brand Analytics
Custom made web data sets and data services according to your specific requirements. ... Key benefits of your Data Product: Real-time data, Global Coverage, Scalable.
Available for 64 countries
10K Records
12 months of historical data
99% Quality
Pricing available upon request

Custom Data Scraping with Validation and Cleansing

by Agnibase
We provide lists with: E-commerce Product Data information, Business Contact Data, Leads Contact Data ... platforms, and other sources Exemplary data fields for different datasets: Product data (Price, Name
Available for 240 countries
10K records
30 days of historical data
Pricing available upon request
10% Datarade discount

Linkedin Company Data extracted via web scraping with global coverage

by Datahut
The data is from 2017. ... The Linkedin Company data covers the company data from Linkedin of about 9 million profiles.
Available for 240 countries
Pricing available upon request

Skuuudle | Price Intelligence | Competitor Monitoring | Price Scraping

by Skuuudle
We have over 15 years of experience in price scraping, product matching, and data delivery. ... We scrape over 4.2 billion data points each month.
Available for 240 countries
Available Pricing:
One-off purchase
Monthly License
Yearly License

Oxylabs Web Data Services & Custom Made Datasets Worldwide (inc. Ecommerce, SEO, Finance Data)

by Oxylabs
Custom made web data sets and data services according to your specific requirements. ... Key benefits of your Data Product: Real-time data, Global Coverage, Scalable.
Available for 240 countries
Pricing available upon request

Dexi | Automated Web Data Capture | Competitor Monitoring

by Dexi.io
A systematic competitor monitoring process fed with web data provides a powerful advantage on competitor ... data reports to outmanoeuvre your competitors’ strategies.
Available for 249 countries
100% Data quality
Pricing available upon request
Free sample available

Best Twitter Data Scraper | Extract Tweets From Twitter | X-Byte Enterprise Crawling

by X-Byte
Examples: Climate change until:2020-01-01 since:2019-01-01 Web scraping until:2020-06-30 since:2019-01 ... Best Twitter Data Scraper.
Available for 249 countries
Pricing available upon request
Free sample available
datarade.ai - X-Byte profile banner
X-Byte
Based in USA
X-Byte
World’s Leading Web Scraping Services Provider USA, UK, Europe, Australia, Germany, Canada, Denmark We Offer Best Python based Web Data Extraction, Mobile ap...
datarade.ai - Predik Data-driven profile banner
Predik Data-driven
Based in Costa Rica
Predik Data-driven
We are experts in the collection, extraction, management and analysis of large volumes of all types of data, from alternative and complex sources to traditio...
Data
Updated & consistent
Expertise
Latam, US, Asia Markets
Quality
Strict & precise controls
datarade.ai - IPinfo profile banner
IPinfo
Based in USA
IPinfo
IPinfo is an IP data provider specializing in IP geolocation, ASN, IP to company, IP to carrier, IP ranges, hosted domains, and other data types. IPinfo A...
46 billion
API requests per month
Great team
doing big things.
100K+
businesses use IPinfo services
datarade.ai - Rocks & Gold profile banner
Rocks & Gold
Based in Poland
Rocks & Gold
Rocks and Gold identifies B2B companies in buying mode based on the history of hiring dynamics, providing users with tools for smart filtering, labeling, dat...
Relevance
Real-Time alerts
Easy Use
native CRM integrations
Robust
25k+ companies updated daily
datarade.ai - Coresignal profile banner
Coresignal
Based in USA
Coresignal
With our offering of 618M professional profiles and 86M company records businesses are guaranteed to find the data to achieve their goals. Furthermore, what ...
20
Data Sources
261M
Records Updated Monthly
618M
Professional profiles
datarade.ai - B2B Email Databases profile banner
B2B Email Databases
Based in India
B2B Email Databases
We offer custom B2B Email List Building is one of our core services. We're specialized in building Business List, Telemarketing List, Targeted Mailing List, ...
Coverage
Worldwide
Pricing
Flexible
Updates
On Demand

The Ultimate Guide to Web Scraping Data 2022

Learn about web scraping data analytics, sources, and collection.

What is Web Scraping Data?

Web scraping data is information that is extracted from the web/internet. Web scraping data covers hundreds, millions, or even billions of data points from the internet’s endless set of pages. It includes product specifications, consumer reviews and feedback on the specific website. This data is presented in HTML format. Depending on the design, web scraping data can be as simple as a name and address in some instances, or as complex as high dimensional weather and seed germination data.

How is Web Scraping Data collected?

  1. Human copy-and-paste: This is the most basic method to gather web scraping data. It covers copying and pasting data from a web and putting it into a text/document file. This manual method is useful when some websites block computer automation and web scraping technology, although it’s not scalable.
  2. Software: There are many software tools available that can be used to collect web-scraping data. The various tools include scraper APIs and octopuses.
  3. DOM Parsing: In order to dynamically change or examine a web page, client-side scripts parse the contents of the web page into a DOM tree. Web scraping data can be collected by installing a program into the web browser and then retrieving the data from the tree.
  4. HTTP Programming: Using socket programming and posting HTTP calls is another way to collect dynamic as well as static web scraping data.

What is Web Scraping software?

Web scraping software is a tool used by web scrapers to collect data from websites. Web scrapers can navigate the Internet directly using web scraping tools. Web scraping software is used to retrieve unstructured data from a web page. The data is then translated into a standardized format that can be loaded into a commercial web scraping dataset to be distributed via data marketplaces like Datarade. The intent of the data can be varied, sometimes tools are used to scrape product prices and details from e-commerce pages for real-time web scraping data. Some software may also be used to scrape individual background checks.

How to use Excel for Web Scraping?

To build an Excel Web Query, the first move is to copy the URL that you want to download the data from.
• Go to Excel now and open a workbook that includes a blank worksheet.
• Go to Data From Web
• After you select From the Web, you will be returned to the Fresh Web Query.
• In the Address bar, type the URL for the web page and press the Go button.
Selecting data is the second step.
• You will be able to see a yellow box with a black arrow right at the top left of any table on the website in the Latest Site Question dialog.
The third stage is to store worksheet data.
• When the list of tables to import has been done, click on the Import button to save the data to the worksheet. Via a web scraping data vendor, this stored data can be listed on the Excel sheet for data web scraping analysis.

How to get Web Scraping Data using Python?

Web scraping is a method for dynamically accessing and collecting vast volumes of information from a website, which can save a massive amount of time and work to be used in data web scraping analysis. To collect web scraping data using python, you need to follow the following simple steps:

• Find the URL you’re trying to scrape
• Inspect the page
• Find the details that you want to extract
• Write down the code
• Run the code and collect the data
• Store your data in the appropriate format

When you run the web scraping code, a request is sent to the link you listed. The server sends the data as a response to queries and allows you to read the HTML or XML page. The code then scans the HTML or XML page, identifies and extracts the data.

What is R in Web Scraping?

R is a language for mathematical computation and graphics. Statisticians and data miners use R a lot because of its emerging statistical tools and its emphasis on web-based data scraping analysis. Web scraping with R is of course, scientific and intermediate programming. Adequate comprehension of R is important for web scraping, so historical web scraping data is readily accessible. One factor why R is such a favorite is the standard of plots that can be figured out like mathematical symbols and formulae, wherever possible. R also provides a wide range of functions and packages that can perform data mining activities for the purpose of commercial web scraping datasets. R modules used for data collection processes include rvest, RCrawler, etc.

What is API scraping?

API scraping allows you to view data for the purpose of data web scraping analysis or commercial web scraping dataset applications, from which an API may not be accessible to access the data you require, or access to the API may be too restrictive or costly. You can encounter issues with just about every API (public or private):

  • DDOS prevention: Once you begin hitting the API with 1,000 requests per second, nearly any production API would block your IP address.
  • Standard Rate Limiting and Throttling: Most APIs can restrict a certain duration to either your API requests depending on your IP or your API key.

What are the attributes of Web Scraping Data?

The major attributes of web scraping data are:

  1. Web contact scraping data: This is the type of web scraping data that extracts contact information of users through online, e-commerce, web and social media portals. This type of data contains information regarding users email ID, phone number, and address.
  2. Web price scraping data: This is the type of web scraping data that extracts price information of different products through e-commerce and online retail sites.
  3. Web content and news scraping data: This is the type of web scraping data that extracts news/content about the economy of different regions and industries through online news sites, blog posts, and social media sites.

What is Web Scraping Data used for?

Web scraping data is used in the following:

Price Monitoring

  • Dynamic pricing and income optimization
  • Competitor analysis
  • Product course analysis
  • Investment choice
  • Brand and strategy compliance

Market Research

  • Business trend analysis
  • Business pricing
  • Optimizing limit of entry
  • Competitor analysis

Sentiment Analysis

  • Finance decision making
  • Product analysis
  • Brand and business monitoring
  • Product building
  • Government regulation

News & Content Monitoring

  • Online public opinion analysis
  • Political analysis
  • Investment decisions

Is Web Scraping part of data science?

Web scraping is a valuable capability for any data scientist to have in their toolbox. Web scraping can be used to gather data on items for sale, user posts, images, and almost everything else that is useful on the web. Web scraping is carried out for the purpose of listing these intelligence on data marketplaces for data web scraping analysis, or for users to purchase web scraping data. Data scientists can think of web scraping as a welcome addition to their skill set if they want to be dynamic and take on more cross-functional roles to help grow the business using data-driven decisions. The technical expertise of web scraping is not intended to replace, but rather enhance, their analytical skills for the analysis of real-time web scraping data that a data scientist should possess.

How can a user assess the quality of Web Scraping Data?

Web scraping data quality can be classified into data completeness, data precision, data power and data consistency.

  • Data Completeness: A data set with the least amount of missing features can be considered complete web scraping data.
  • Data Precision: Precision is the level of details that are shown in a web scraping dataset.
  • Data Accuracy: The stats compiled in a web scraping dataset must hold up in comparison to other datasets.
  • Data Consistency: Data consistency is the lack of conflicting information in a web scraping database.

Evaluation of the quality of web scraping data

Data quality is assessed using different evaluation techniques by various users:

  • The first level of evaluation is done by the data provider. This is based on data quality analysis using technical verification procedures.
  • The second level of data quality evaluation is on the side of the data buyer, and involves research including asking for a web scraping data sample and reading provider reviews.

How to make sure you get secure Web Scraping Data?

To get secure web scraping data you need to purchase web scraping data from legitimate web scraping data vendors, who have both real-time web scraping data and historical web scraping data. The cost of these datasets varies, and can also be purchased with a web scraping data subscription. Web scraping data vendors get their secure data by working with and getting software from verified organizations. These organizations use geo-facing, which means that they scrape data from sites that are only exposed within the desired geographic locations. This may simply involve using a VPN link during the web scraping procedure.

Where can I buy Web Scraping Data?

Data providers and vendors listed on Datarade sell Web Scraping Data products and samples. Popular Web Scraping Data products and datasets available on our platform are Web Scraping, Web Automation and Business List building Service by B2B Email Databases, Scrape LinkedIn Company Data using Web Scraping Having Global Coverage by X-Byte, and Web Scraping and Machine learning Services by PREDIK Data-Driven by Predik Data-driven.

How can I get Web Scraping Data?

You can get Web Scraping Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Web Scraping Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Web Scraping Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Web Scraping Data?

Web Scraping Data is similar to Semantic Website Data, News Data, IP Address Data, Web Traffic Data, and Clickstream Data. These data categories are commonly used for Sentiment Analysis and Web Traffic Analytics.

What are the most common use cases for Web Scraping Data?

The top use cases for Web Scraping Data are Sentiment Analysis and Web Traffic Analytics.

Translations for this page

Datos de web scraping (ES)