We extract company profiles, domain associations, industry classifications, and public directories from Snov.io. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Company Profiles objects from snov.io. All fields typed and schema-versioned.
"company_name": "Acme Corp", "domain": "acme.com", "industry": "Software", "size": "51-200", "hq_location": "San Francisco, CA", "founded_year": 2015
| # | company_name | domain | industry | size | founded_year | hq_location |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Domain Intelligence objects from snov.io. All fields typed and schema-versioned.
"domain": "acme.com", "is_catchall": false, "email_format_pattern": "{first}.{last}", "public_emails_count": 142, "mx_records": "['aspmx.l.google.com']", "hosting_provider": "AWS"
| # | domain | is_catchall | email_format_pattern | public_emails_count | mx_records | a_records |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Employee Directory objects from snov.io. All fields typed and schema-versioned.
"full_name": "Jane Doe", "job_title": "VP of Engineering", "department": "Engineering", "seniority": "VP", "company_domain": "acme.com", "location": "New York"
| # | full_name | first_name | last_name | job_title | department | seniority |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Tech Stack Data objects from snov.io. All fields typed and schema-versioned.
"domain": "acme.com", "technology_name": "HubSpot", "category": "Marketing Automation", "active_status": true, "vendor": "HubSpot Inc.", "confidence_score": 0.98
| # | domain | technology_name | category | implementation_date | active_status | script_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Industry Classification objects from snov.io. All fields typed and schema-versioned.
"domain": "acme.com", "primary_industry": "Information Technology", "keywords": "['SaaS', 'Cloud', 'Analytics']", "business_model": "B2B", "b2b_b2c": "B2B", "target_audience": "Enterprise"
| # | domain | primary_industry | sub_categories | naics_code | sic_code | keywords |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Snov.io scraper handles every layer of the public directory: company profiles, domain intelligence, and tech stack classifications - with session management and anti-bot circumvention built in.
Extract company name, domain, employee count, HQ location, and founding year directly from Snov.io directory pages.
Capture MX records, A records, hosting providers, and catch-all status for targeted domains.
Identify software and infrastructure tools associated with a domain based on Snov.io classifications.
Extract job titles, seniority levels, departments, and geographic locations for public employee listings.
Collect associated LinkedIn, Twitter, and Facebook profile URLs for companies and key personnel.
Extract primary industry tags, keywords, and business model classifications to normalise your CRM data.
Capture the most common email format patterns (e.g., first.last) associated with a specific domain.
Submit lists of thousands of domains for automated enrichment against the Snov.io database.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide domain lists, industry filters, or company names. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and CAPTCHA handling for snov.io.
Schema validation, null-rate checks, and sample data reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
B2B directories invest heavily in scraping detection. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
Snov.io limits request rates per IP and monitors browser fingerprints. We use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass rate limits safely.
B2B directories often cap pagination visibility. We use search filters, alphabetical slicing, and sub-category traversal to extract the full corpus without hitting pagination walls.
Directory layouts change frequently to disrupt scrapers. We use multiple CSS and XPath fallbacks so a minor layout change does not break your data pipeline overnight.
For large domain lists, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs - reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes and coverage drops, ensuring SLA uptime is contractual, not aspirational.
Sales teams enrich domain lists with company size, industry, and tech stack data to score inbound leads.
RevOps teams calculate total addressable market by filtering companies based on industry and employee headcount.
Track competitor growth trajectories by monitoring employee headcount changes and departmental hiring trends.
Marketing teams build account-based marketing lists by identifying domains using specific competitor technologies.
Venture capital firms track company growth, tech adoption rates, and executive changes to identify investment opportunities.
Operations teams automatically fill missing fields in Salesforce or HubSpot to maintain data hygiene.
"Snov.io provides a massive index of B2B domains and company profiles - but building a reliable pipeline to sync that intelligence into your CRM requires dedicated infrastructure."
Most teams underestimate the investment required: reliable directory scraping requires residential proxies, strict rate-limit adherence, CAPTCHA handling, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on revenue operations - not proxy rotation.
Everything supported by our snov.io scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and retry logic. Playwright manages JavaScript execution and browser fingerprinting to bypass basic bot protection.
We route requests through ISP-grade residential proxies to distribute load and prevent IP-based rate limiting from directory firewalls.
Pipelines run on scalable cloud infrastructure. Airflow handles scheduling and dependency management, ensuring data is delivered on time.
Data delivered to where your team already works — no new tooling required.
About snov.io scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated company profiles and domain data. We do not extract personal data hidden behind authentication walls or violate GDPR. Clients should review Snov.io ToS and consult legal counsel for specific use cases.
No. Verified individual email addresses on Snov.io require account credits and are gated behind authentication. We extract public domain intelligence, company profiles, and inferred email patterns.
We use residential ISP proxies, browser fingerprint spoofing, and request timing modelled on human behaviour. We monitor for 429/CAPTCHA rate spikes in real time and trigger pool rotation automatically.
Yes. You can provide a CSV of domains, and we will configure the pipeline to query Snov.io specifically for those targets, returning the enriched company and tech stack data.
Data is extracted in real time during the pipeline run, reflecting the current state of the Snov.io directory at the moment of extraction.
Our minimum engagement typically starts at processing 10,000 domains or company profiles on a weekly delivery schedule. Contact us with your specific volume requirements for a precise quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off domain enrichment dump or a continuous sync for your CRM - we scope, build, and operate the pipeline. Tell us what you need.
