Browser7

Use Cases / Lead Generation

Lead Generation

Sales teams and agencies use web scraping to build prospect lists from public sources - job boards, business directories, company websites, and industry listings. Instead of manually browsing and copying data, you can collect thousands of leads in the time it takes to write the parsing code.

Where to find leads

Job boards

Companies that are hiring are often growing and buying. LinkedIn Jobs, Indeed, and Glassdoor list companies along with the roles they are filling. A company hiring three sales reps is probably expanding their revenue team - that is a signal for SaaS vendors, consultancies, and service providers.

Business directories

Google Maps, Yelp, and industry-specific directories list businesses with their name, address, phone number, website, and sometimes revenue or employee count. These are publicly available data points that can be collected and filtered into targeted prospect lists.

Company websites

Once you have a list of target companies, you can scrape their websites for additional context - what products they sell, what technology they use, how many locations they have, and whether they have a specific need your product addresses.

Review platforms

Trustpilot, G2, and Capterra list companies along with their reviews, ratings, and customer feedback. Companies with poor reviews of a competitor's product might be ready to switch - a useful signal for sales outreach.

Find companies that are hiring

This example scrapes LinkedIn's public job search to find companies that are hiring for a specific role. The results include company names and locations - useful for building a targeted prospect list.

from browser7 import Browser7
from bs4 import BeautifulSoup

client = Browser7(api_key="b7_your_api_key")

result = client.render(
    "https://www.linkedin.com/jobs/search/?keywords=hiring+manager",
    country_code="US",
)

soup = BeautifulSoup(result.html, "html.parser")

for card in soup.select("div.base-card")[:10]:
    title = card.select_one("h3.base-search-card__title")
    company = card.select_one("h4.base-search-card__subtitle")
    location = card.select_one("span.job-search-card__location")

    print({
        "title": title.get_text(strip=True) if title else None,
        "company": company.get_text(strip=True) if company else None,
        "location": location.get_text(strip=True) if location else None,
    })

CSS selectors may change if the site updates their page structure. See our LinkedIn scraping guide for the latest verified selectors and additional examples.

Data points for lead qualification

Raw company names are just the starting point. The more context you collect, the better you can qualify and prioritize leads:

Company basics

  • Company name and website
  • Industry and description
  • Location and office count
  • Employee count (where available)

Hiring signals

  • Open roles and departments
  • Job posting frequency
  • Seniority of open positions
  • Growth indicators (new offices, teams)

Technology signals

  • Tech stack mentioned in job posts
  • Tools listed on career pages
  • Integration partners on website
  • Technology review site profiles

Reputation data

  • Review scores and trends
  • Customer complaints and themes
  • Competitor comparisons
  • Social media presence

Why Browser7 works well for lead generation

Access protected sources

The most valuable lead sources - LinkedIn, Google Maps, industry directories - have strong anti-bot protection. Browser7's residential proxies and real browser rendering get through these defenses without custom workarounds.

Target specific markets

If you sell to businesses in a specific country or region, geo-targeting ensures you see the same search results and directory listings that local users see. A US-targeted search from a US IP returns different results than the same search from a European IP.

Cost-effective for one-time campaigns

Lead generation is often a burst activity - build a list, run a campaign, then build another list later. Browser7's pay-as-you-go pricing means you pay for the scraping when you need it and nothing when you do not. No monthly subscription to maintain between campaigns.

What this costs

Every page costs $0.01. A LinkedIn job search page shows 25 results per page, so 100 pages gives you up to 2,500 company leads for $1. Even after deduplication, that is a cost per lead that is hard to beat with any other method.

Related guides

Try it yourself

100 free renders - enough to test lead generation from any source, no payment required.