Use web scraping is
cutting-edge solutions
When the API is not available for data collection, you have to use the “parser” of the web page. This is when code is recognized in automatic or semi-automatic mode and data is obtained from necessary fields. To bypass the pages of sites, there is a software that is usually called a “crawler”. Web scraping is the process of collecting data from the websites of the crawler.
Use web scraping is
Cheap
Web scraping will take little maintenance for some time. This helps to accurately plan the budget and saves a lot of time. Web scraping performs daily manual work in a few hours efficiently and economically.
Easy to implement
Web parsing services will deploy a mechanism to extract data and collect it from the entire domain. This means that a huge amount of data can be extracted in just a single investment.
Accuracy
Errors in data extraction can lead to serious problems, so it is important to extract data correctly. Accuracy plays a major role, especially in financial industries such as sales, prices, real estate, or any financial data. Web site scraping allows for automated and accurate data analysis.
Data management
Web scraping allows you to download and manage data in spreadsheets or databases on your local computer. This method has eliminated the idea of copy and paste as it takes up most of the time.
Scraping is used for
Data collection for market research
Competitors analysis
Extract contact information
Product cards filling
Job or employee search
Self-parsing
Machine Learning
With the data you extract, you can research the market, monitor competitors and their actions, work on your business, and build successful strategies. Parser obtains information from a variety of data analytics providers and market research companies. Then it collects the data in one place for analysis.
With the data you extract, you can research the market, monitor competitors and their actions, work on your business, and build successful strategies. Parser obtains information from a variety of data analytics providers and market research companies. Then it collects the data in one place for analysis.2
With the data you extract, you can research the market, monitor competitors and their actions, work on your business, and build successful strategies. Parser obtains information from a variety of data analytics providers and market research companies. Then it collects the data in one place for analysis.3
With the data you extract, you can research the market, monitor competitors and their actions, work on your business, and build successful strategies. Parser obtains information from a variety of data analytics providers and market research companies. Then it collects the data in one place for analysis.4
With the data you extract, you can research the market, monitor competitors and their actions, work on your business, and build successful strategies. Parser obtains information from a variety of data analytics providers and market research companies. Then it collects the data in one place for analysis.5
With the data you extract, you can research the market, monitor competitors and their actions, work on your business, and build successful strategies. Parser obtains information from a variety of data analytics providers and market research companies. Then it collects the data in one place for analysis.6
With the data you extract, you can research the market, monitor competitors and their actions, work on your business, and build successful strategies. Parser obtains information from a variety of data analytics providers and market research companies. Then it collects the data in one place for analysis.7
Web scraping process
- 1
Determine the target website for the information collection
- 2
Collect the URLs of the pages you want to retrieve data from
- 3
Next, query the URLs to retrieve the HTML code of the page
- 4
Scraping to find data in HTML
- 5
Saving the data in JSON, CSV, or other structured formats
ScrapeIt: smooth data gathering experience
We have a browser extension called ScrapeIt that requires no installation and is easy to use. It will supply direct access to structured data collected from different sources and can provide updated information automatically. This scraper is capable of collecting web data at any time and saving the results in XLSX and JSON formats.
Parsing serves for:
- price research
- assortment analysis
- stock tracking
- content production
(images, videos, texts, etc.)
Secure web scraping
Random intervals between requests
Use a random delay of 2 to 10 seconds to avoid blocking. If you send requests too often, scanning the site will be like a network attack.
Check the robots.txt file. Sometimes you can find the Crawl-delay option there which tells you how many seconds to wait between requests so as not to damage the server.
User Agent
The User-Agent is an HTTP header that tells website information about your browser. Without configuring the User-Agent, your crawler is easy to detect. Sites sometimes block user agent requests from unknown browsers. You can change or randomize the User-Agent so that you don’t get blocked.
Honeypot traps
Honeypot is a fake link that is present in HTML code. During site analysis honeypot can redirect to empty and useless bait pages. So check if the CSS properties “display: none”, “visibility: hidden” “color: #fff;” are set for the link.
CAPTCHA bypass
Some websites systematically ask you to confirm that you are not a robot using a captcha. Usually, captchas are only displayed for suspicious IP addresses. Proxies can help to solve this problem. In other cases use the automatic CAPTCHA solver.
Using a headless-browser
Some sites track web fonts, extensions, cookies, digital prints. Sometimes they embed a JavaScript code that only opens the page after it is launched. This determines whether a request is received from your browser. The headless-browser is used to bypass such resources. It copies the behavior of the real browser and supports program management.
Proxy
You can deceive the web server and make it think that requests come from different places. To do this, use a proxy.
Free proxies are not always suitable for this purpose: they are slow and unreliable. Try to create your proxy network on the server. Or you can use proxy server providers like Luminati, Oxylabs, etc.
Web scraping legality
Parsing and scraping websites are legal if the implementation does not violate the statutory prohibitions. In any case, you can parse your website without problems.
The commercial use of the collected data is still limited. That is, companies are restricted by copyright in the use of data obtained by parsing for commercial purposes.
For example, a search robot will be allowed to search for data, but it will not be able to re-publish it on its site because the data is protected by copyright.
Data cannot be collected from sites that require authentication. Users agree to the privacy policy of the site before logging on. These terms usually prohibit automatic data collection.
Anyway, for startups, this is a cheap and effective way to collect data without partnership. Large companies parse websites for their benefit but do not want other companies to use bots against them.
