Finding B2B leads is easy; finding the right ones is a pain. If you’re drowning in a spreadsheet of random company names and half-filled LinkedIn profiles, you’re not alone. This guide is for salespeople, business owners, and marketers who want to cut through the noise and focus on accounts that might actually buy, not just “look interesting.”
We’ll walk through using ScrapeLi—a tool that pulls data from LinkedIn—to build a real, prioritized list of high-value B2B accounts. You’ll get honest advice on what’s possible, what’s not, and how to avoid wasting time on useless data.
Step 1: Get Clear on What “High Value” Means (For Real)
Before you start scraping, you need a definition for “high value.” Otherwise, you’ll end up with a Frankenstein list of companies that don’t fit together.
Cut through the fluff:
- Don’t just say “enterprise” or “big accounts.” Be specific.
- Is it company size? Industry? Geography? Tech stack? Funding stage?
- Are you after fast wins or long-term whales?
- Who actually buys—the CMO, CTO, or some other title?
Pro tip:
Make a quick one-pager describing your ideal accounts. Share it with your team (or just yourself) so you don’t get sidetracked.
Step 2: Build a Target List on LinkedIn
ScrapeLi pulls its data from LinkedIn, so that’s where you’ll start. The better your LinkedIn search, the better your results.
How to Set Up LinkedIn Searches That Don’t Suck
- Use LinkedIn Sales Navigator if you can. The filters are much more powerful.
- Filter by:
- Industry (be careful—LinkedIn’s categories are broad)
- Company headcount (don’t trust the numbers blindly, but it’s a start)
- Geography (be specific—“United States” is huge)
- Keywords in title, company, or description
- Technologies used (sometimes available via Sales Navigator or third-party plugins)
- Save your search. You’ll need the search URL for ScrapeLi.
What to ignore:
Don’t obsess over every possible filter. Start narrow, then widen if you’re not getting enough results.
Step 3: Scrape Data with ScrapeLi
Now it’s time to pull the data. ScrapeLi isn’t magic—it just automates the grunt work. Here’s how to use it without getting your LinkedIn account flagged or pulling junk data.
Getting Set Up
- Go to ScrapeLi and sign up.
- Install any browser extension or desktop app required (they have guides—follow them).
- Paste your saved LinkedIn search URL into ScrapeLi.
What to Watch Out For
- Rate limits: Don’t blast LinkedIn with 10,000 requests in a day. Start slow (a few hundred profiles per day is usually fine).
- Data quality: Not every field will be filled. Expect missing emails, sketchy job titles, and companies with no website.
- Duplicates: ScrapeLi tries to filter them, but check your final CSV for repeats.
Quick Checks Before Moving On
- Spot-check a few rows. If you’re getting lots of “Student at University of…” or companies outside your target, tighten your LinkedIn filters and scrape again.
- Save your data in CSV or Excel format.
Step 4: Clean and Enrich Your Data
A raw scrape is messy. If you want to find high-value accounts, you’ll have to do some cleaning.
Here’s what’s worth doing and what’s not:
What’s Worth Cleaning
- Company names: Standardize so “Google LLC” and “Google” don’t show up as separate rows.
- Remove freelancers, students, and irrelevant profiles.
- Verify websites: A lot of “companies” are just LinkedIn placeholders with no real business.
What’s Usually Not Worth It
- Obsessing over job titles being perfectly matched (“VP Marketing” vs. “Vice President of Marketing”).
- Manually looking up every single company—focus on the top portion first.
Enrichment (Optional, but Useful)
If you want more data (like funding, tech stack, or revenue), you can:
- Use a service like Clearbit, Apollo, or SimilarWeb to add columns.
- Manually pull in data for your top 50 accounts if you don’t want to pay for enrichment tools.
Pro tip:
Don’t get bogged down in enrichment for the whole list. Focus on the top 10-20%—the ones you’ll actually contact.
Step 5: Score and Prioritize Accounts
Here’s where most people overcomplicate things. Your goal is to focus, not build a 20-column scoring model you’ll never use.
Keep Scoring Simple
- Assign 1-3 points each for:
- Company size (does it fit your target?)
- Industry match
- Location match
- Decision maker present
- Any other “must-have” features (e.g., using a certain tech)
Add up the points. Sort your spreadsheet. That’s your priority list.
What Not to Do
- Don’t use AI scoring tools unless you really understand what they’re doing.
- Don’t try to automate “gut feel.” You know your market better than any spreadsheet.
Example
| Company | Size Score | Industry Score | Location Score | Decision Maker | Total | | ------- | ---------- | -------------- | -------------- | -------------- | ----- | | Acme Inc | 3 | 2 | 3 | 3 | 11 | | Beta LLC | 2 | 3 | 2 | 2 | 9 |
Focus on the top scorers. That’s where your outreach starts.
Step 6: Rinse and Repeat—But Smarter
You’ll never get the perfect list on your first try. That’s normal.
- After a few weeks, look at which accounts are actually engaging.
- Adjust your filters and scoring based on what’s working.
- Scrape, clean, score, and repeat. Each round gets you closer to the accounts that matter.
Real talk:
Most “high value” accounts are obvious in hindsight. The trick is to move fast, test, and keep your process simple enough to actually use.
Honest FAQs About ScrapeLi and B2B Account Scoring
Is ScrapeLi the only tool I need?
No. It’s good for pulling data from LinkedIn, but you’ll still need tools for enrichment, outreach, and CRM.
Will LinkedIn ban me for scraping?
There’s always a risk. ScrapeLi works to minimize it, but use it carefully and don’t go crazy with volumes.
Can I automate the whole process?
You can automate scraping and basic scoring, but the best results come from reviewing the top accounts yourself.
Is buying a list easier?
It’s faster, but you’ll get a lot of junk. If quality matters, build your own.
Wrapping Up: Don’t Overthink It
Finding and prioritizing high-value B2B accounts with ScrapeLi is straightforward if you keep things simple. Define your target, build a focused list, check your data, and score accounts based on what actually matters to you—not what some vendor says. Iterate, tweak, and don’t let perfection slow you down. The best leads are usually hiding in plain sight—you just need a reliable process (and a bit of patience) to find them.