How to Evaluate Data Parsing Services

The World Wide Web - the entire world and its countless wonders are at your fingertips. But how do you access all the necessary data to make an informed decision? Who will do it for you? Data parsing service providers. If you do a quick and simple Google search: data parsing service providers - it will yield over 379,000,000 results related to this.

While there is a strong wave of outsourcing data parsing projects, the more challenging task is knowing how to evaluate this mountain of parsing services. What makes one company better than another? How will one fit your requirements? Hence, it becomes very important to analyze the features that act as differentiators between different web service providers.

Evaluate Data Parsing Services

There is almost no information on how to choose parsing services. Let's crack this 'code' to understand what questions to ask and what to look for when you engage data parsing services from websites. This will serve as a guide for every project you undertake.

A). Collection Frequency: Data Extraction and Timing

While scripts crawl websites to extract data for a specific date or time period, as time progresses, this data becomes outdated. It needs to be maintained and replenished with new and fresh data lists. The right data parsing service provider decides whether new data matches or contradicts the old data. Then it makes appropriate assessments.

B). Technical Expertise

The main reason why parsing services are usually outsourced is the required level of technical expertise. Thus, it is obvious that one of the most defining characteristics of a data parsing service provider is the level of technical expertise it possesses and the value it can bring to the extracted data.

The ability to convert unstructured data into a structured, ready-to-use format in a short time makes web data parsing an excellent solution.

When searching for a service provider, inquire about the team's reliability. Check if they have experience in SQL or other database development, database creation and administration, integrating multiple data sources, and performing ETL processes in various tools.

C). Custom Data Sample

Based on the above, some premium parsing services offer you custom data. They are taken from new data (and past data that is relevant; usually a combination of the two) and can be one of the most reliable data consolidations.

These services are not only software-based. They usually offer exclusive market reports before the data is collected for your project. In fact, you can detail your individual requirements, and preliminary research is conducted based on that.

D). Customization Level and Scale

You can always get a single optimized service as needed. In this case, you need to prepare a project plan describing all your data requirements, filtering criteria, shortlisting templates, preferred format, etc. Based on this, the data collection work will begin.

Determine your requirements - whether you need services on a trial basis or you are looking for long-term collaboration. Most ready-made parsing tools can meet your short-term needs, but if you are looking for an enterprise solution, you should turn to service providers. The level of customization and complexity required for a mature organization can hardly be satisfied by a parsing tool.

E). Real-Time Parsing

The world we live in and its pace of development are such that data obtained yesterday may already be considered 'old' today. Its expiration date passes in the blink of an eye. If the data you are looking for is very time-sensitive, you can use periodic web data parsing services. This is usually a contract package for regular service delivery: weekly, monthly, or even daily. After each scraping session, you will receive the data in your preferred format - csv/xls/json or API.

F). Customer Support Service

What distinguishes any good service from a great one is its customer support. Consistent support is an extremely powerful but often overlooked factor. Delivering beyond promises, prompt responses, quick problem resolution: these little things can play such a big role and become a huge differentiator. Companies are not averse to paying a bit more for excellent customer support. You should feel that you are not being cheated. Most web scraping services have realized this and raised their prices, of course, for data-backed reasons.

Checklist for Evaluating a Parsing Service

In addition to the above, there is a whole series of questions you should ask before settling on a data parsing service provider. Here are some:

• Is their parsing infrastructure scalable? Can it meet your requirements ranging from ten websites per day to a million websites?
• How fast can their software perform crawling? Can it range from one page per second to 5,000 pages per second?
• How flexible is the pricing? Is the cost per page cheaper when collecting thousands of pages? Or does it not decrease proportionally?
• Can their parsing technology handle obstacles like CAPTCHA?
• Can their data parsing technology handle complex sites with AJAX and JavaScript?
• Do they use public/hybrid or private cloud? Do they use cloud computing at all?
• Do they have automated data quality checks?
• How often are the checks performed?
• How often do they review and update these tests accordingly to ensure they are aligned with changes and adapt well?
• What technologies, methods, and algorithms are used in the data quality assessment process?
• How well and quickly do they respond to your requests and changes in requirements?
• Do they have experts in your industry or working knowledge of the context in which data is collected?
• And most importantly, how do they compare in price with their closest competitors? What is the value of the data that can be obtained from them?

While everything we have said is by no means exhaustive, it is a very reliable starting point when you are spoiled for choice. Moreover, by asking the right questions, you can keep web parsing service providers (as well as web development service providers in general) in check and not let them take advantage of you.

We are confident you will enjoy reading about what parsing is and why it is needed for business.