Web scraping: 6 game advantages for sales teams
A complete introduction to web scraping for sale. Learn what web scraping is and how it can improve your B2B sales operations in six ways.
The technique of mechanically obtaining information from a webpage is known as web scraping.
But how does webpage scraping function in practice? What is the purpose of web scraping? And why does it seem to be the starting point for so many sales teams?
Web scraping has become a popular method for swiftly gathering high-quality information on prospects.
It's no surprise, given how much a LinkedIn Scraper can help salespeople. For example, you can:
Build a super targeted list of prospects
In your ABM strategy, identify and enhance critical accounts.
Identify trading signals to time your reach (EBM - Event-Based Marketing)
Web Scraping Is Getting More Popular
In recent years, SDRs have had to adopt a full-funnel approach to gain a competitive advantage. They are more engaged in sourcing and enrichment as well as inbound marketing and content development.
Automation and scraping technologies have risen in popularity as a result.
For the sales team, using web scraping includes:
Extensive automation of data collection
Unlocking data sources that add value to your business
Based on the evidence, make educated judgments.
For sales teams, there are six major advantages of web scraping.
#1. Make a list of target companies
To create a list of leads, first, create a usable ICP (Ideal Customer Profile). This aids you in determining the most suitable data source for obtaining information about your target audience.
LinkedIn Data Extractor is capable of extracting practically any sort of business data from the LinkedIn website. It's possible to find addresses, phone numbers, e-mail addresses, and the number of employees.
You should try to figure out what data sources are tracking the website.
To create a list of companies, extract data from sources such as:
LinkedIn Sales Navigator: Obviously because it's almost the holy grail of leading gene channels. You may generate a limited yet tailored list of firms using powerful filters.
For conventional companies and markets, Google Maps is a rich mine of data. Assume you're looking for carpenters, plumbers, and other tradespeople. Google Maps is one place where you can find phone numbers and information for these types of destinations.
Business names, phone numbers, locations, and websites are listed in the Yellow Pages directory. Create a list of target firms by filtering by industry and geography.
Hundreds of addresses in the chosen specialty can be found in directories for specialized sectors. Scraping these sorts of directories is typically a quick win, depending on the quality and volume of data.
#2. Determine who makes decisions in each target account.
So, do you know which companies to target, but which employees to contact?
Here you want to strengthen your existing data with additional knowledge (i.e. enrich the database).
This may be done in a number of different ways. One option is to use LinkedIn to augment your B2B data.
To scale this process, you can use LinkedIn Sale Navigator Extractor to manage multiple LinkedIn accounts and extract data.
For example, one member of the sales team can manage 20+ LinkedIn profiles in order to generate and improve as many leads as feasible.
Do you want to give it a shot? Get a free trial of LinkedIn Sale Navigator Extractor today.
Start a free trial of LinkedIn Sale Navigator Extractor
Another option is to alternately send cold emails and message sequences to LinkedIn:
Keep in mind that quality trumps quantity.
You might think that scraping is all about getting as much volume as possible, but that's not necessarily the case.
A small campaign of 200 highly qualified leads is always superior to a large campaign of thousands of unqualified leads.
#3. Recognize trading signals that lead to opportunities
When you provide customized messages to people depending on their activity, this is known as event-based marketing.
This method boosts marketing initiatives' capacity, speed, and quality. There is a slew of new EBM tools and procedures on the horizon.
"Event" is the crucial term here: it relates to how the user interacts with the website. We can correlate it with the user's identity since it's stored as an attribute.
This is true for individuals, but the same rationale can be applied to the businesses we are pursuing.
Use LinkedIn Web Scraping Software to track and capture signals that indicate it's a good time to contact a prospect. It's also an excellent method for prioritizing changes.
So, what type of trading indications can web scraping track?
Examples:
Company growth: By tracking advanced Search Navigator search filters such as “company size” or “department employee growth”
Hire Companies: To find companies hiring for specific roles, use Indeed and LinkedIn
Negative Reviews: This is a great way to lure unhappy customers away from the competition.
Fundraising Notice: Please contact us when the time is appropriate. A profitable business will almost certainly hire more personnel and expand its operations.
#4. Enrich and evaluate prospective CRM customers
The vetting of potential clients and the identification of ICPs are also part of the web scraping process.
Update your CRM with new information so you can rate prospects and assess their potential.
Create a larger image of the business. Contact information, social networking links, breaking news, and product updates are all available. All of this information will assist you in better comprehending your objective.
Make patterns to figure out how employee email addresses are structured. Business addresses usually have the structure firstname.lastname@companyname.com. By finding a pattern, you can find the email address of your target contacts. Hunter, an email search engine, may assist you with this.
Find out what software tools companies are using. For best results combine your scraper tool.
#5. Keep your leads data up to date
Let's talk about data quality for a moment.
For data to be useful to sales and marketing teams, it needs to be updated regularly.
Maintaining data quality is, unfortunately, a huge concern for businesses today.
Employees usually stay for two years on average.
Consider a table with 1000 rows: more than 5% of the rows will be out of date after a month. It's 10% after two months, and so forth.
So you can see that the data is quickly becoming out of date. You'd have to manually examine your data every month to keep it up to date. Alternatively, scraping and automation can be used to update the database.
The second is, of course, a straightforward answer. Web scraping can help you battle stale data in this situation.
Some examples:
#6. You can truly use the data because it is of high quality.
As we have explained, data quality depends on updating sales and marketing data.
However, keep in mind that data is only helpful if it is accessible through the tools you use.
In all systems, it must be the same. CRM software, marketing automation software, back office, reporting tools, accounting systems, and so on are all examples of this type of software.
Let's put it this way: Data must be available and usable. Otherwise, it is useless.
We're interested, but in our opinion, LinkedIn Sale Navigator Extractor is one of the best solutions to this problem. As we've seen, data enrichment spans the full data ecosystem of a firm, and it shouldn't stop at CRM software.
Remember this:
It isn't just about gathering as much information as possible. It all comes down to gathering accurate and actionable data so you can reach and convert more prospects. At Ahmad Software Technologies, our objective is to make B2B data available and implement it.
