B2B Lead Generation with Web Scraping
Automatically collect qualified B2B leads from branch maps, LinkedIn, and directories. No more cold acquisition, but data-driven outreach.
Request a scraperFrom cold acquisition to automated lead generation
B2B lead generation is time-consuming. Manually searching for companies in branch maps, noting contact details, and following up takes hours per week. With web scraping, you fully automate this: a scraper collects company information, contact details, and relevant characteristics from online sources.
We deliver the collected data as CSV, in your CRM (via API), or directly in Google Sheets. Your sales team gets a qualified list of companies that meet your criteria: industry, region, size, website technology.
Channify builds custom B2B lead generation scrapers that comply with GDPR. We scrape only public company data, no personal data.
Where do we get B2B leads from
Branch maps and directories
Chamber of Commerce, branch maps, association member lists. Filter by industry, region, and company size.
Learn moreWebsite technology detection
Detect which e-commerce or CMS platform a company uses. Ideal for B2B sales targeting specific technologies (e.g., Shopify owners).
Learn moreContact details extraction
General contact details (info@, phone, website) from public sources. No personal email addresses.
Learn moreCompany characteristics
Number of employees, revenue range, founding year, location. Qualify leads before you approach them.
Learn moreCRM integration
Delivery directly into HubSpot, Pipedrive, Salesforce, or Google Sheets via API. No more manual import.
Learn moreGDPR-compliant
We scrape only public company data. No personal data, no login bypasses, full GDPR compliance.
Learn moreFrom scraper to qualified lead list
Determine lead criteria
Which companies are you looking for? Industry, region, size, technology used. We translate this into scrape parameters.
Build scraper
We build the scraper that searches the chosen sources and collects company data according to your criteria.
Deliver data
We deliver the leads as CSV or directly in your CRM. Including company characteristics for qualification.
Ongoing or one-time
One-time scrape for a campaign, or ongoing monitoring for new leads that meet your criteria.
Frequently asked questions about B2B lead generation scraping
Is B2B lead generation with scraping GDPR-proof?
Yes, if done correctly. We scrape only public company data (Chamber of Commerce data, website information, general contact details). We don't scrape personal data (no personal email addresses or phone numbers of individuals). The collected data is B2B company information, on which GDPR is less strict.
How many leads can I collect?
That depends on the source and your criteria. A scrape of a branch map can yield hundreds to thousands of companies. We advise on the best sources for your target audience and can combine multiple sources.
What does B2B lead generation with scraping cost?
A one-time scrape starts from €395. Ongoing monitoring (new leads weekly) costs €495-€1,500 one-time plus €99-€299/month. Costs depend on the number of sources, complexity, and desired delivery frequency.
Can I import leads directly into my CRM?
Yes. We can connect the scraper to HubSpot, Pipedrive, Salesforce, ActiveCampaign, or other CRMs via API. New leads are automatically added. Google Sheets integration is also possible.
Can I also scrape email addresses?
We scrape only general company contact details (info@, contact@) that are publicly displayed on the website. We don't scrape personal email addresses of individuals, as this is GDPR-sensitive. For personal contact details, we refer to tools like Apollo or Hunter.
How do I prevent getting duplicate leads?
The scraper can apply deduplication based on company name, website, or Chamber of Commerce number. For ongoing monitoring, we compare new results with previous scrapes and deliver only new leads.
Ready to automate your sales pipeline?
Tell Edwin which companies you're looking for and from which sources. You'll receive a scraper setup and a sample list.
Request a scraper Or try the package finderReady to explore?
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