We extract domain search results, email patterns, professional profiles, and author mappings from Hunter.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 Domain Search objects from hunter.io. All fields typed and schema-versioned.
"domain": "stripe.com", "organization_name": "Stripe", "industry": "Financial Services", "pattern": "{first}.{last}@stripe.com", "total_emails": 4892, "generic_emails": 45, "personal_emails": 4847, "scraped_at": "2026-05-12T09:14:00Z"
| # | domain | organization_name | industry | headcount | country | pattern |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Professional Profiles objects from hunter.io. All fields typed and schema-versioned.
"email": "j.doe@stripe.com", "first_name": "John", "last_name": "Doe", "position": "Senior Software Engineer", "department": "Engineering", "linkedin_url": "linkedin.com/in/johndoe", "confidence_score": 98, "verification_status": "valid"
| # | first_name | last_name | position | department | linkedin_url | |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Email Verification objects from hunter.io. All fields typed and schema-versioned.
"email": "contact@stripe.com", "status": "valid", "score": 100, "regexp_valid": true, "disposable": false, "webmail": false, "mx_records": true, "smtp_check": true
| # | status | result | score | regexp_valid | gibberish | |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Author Finder objects from hunter.io. All fields typed and schema-versioned.
"article_url": "techcrunch.com/article-123", "author_name": "Jane Smith", "email": "jane@techcrunch.com", "domain": "techcrunch.com", "confidence": 94, "twitter_handle": "@janesmith", "publication_name": "TechCrunch"
| # | article_url | author_name | domain | confidence | twitter_handle | |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Company Metadata objects from hunter.io. All fields typed and schema-versioned.
"domain": "stripe.com", "company_name": "Stripe", "description": "Financial infrastructure platform for the internet.", "physical_address": "South San Francisco, California", "founding_year": 2010, "technologies_used": "['React', 'Ruby', 'PostgreSQL']"
| # | domain | company_name | description | logo_url | facebook_url | instagram_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Hunter.io scraper captures domain-level patterns, professional profiles, and verification statuses. We manage rate limits, IP bans, and pagination to deliver structured contact data.
Extract total email counts, generic vs personal email ratios, and primary email patterns for any target domain.
Capture first name, last name, position, department, and associated social media links for discovered email addresses.
Record confidence scores, MX record checks, and SMTP verification results for individual email targets.
Map article URLs to author names and verified email addresses across digital publications and blogs.
Filter and extract contacts by department categories like Engineering, Marketing, Sales, or Executive leadership.
Extract LinkedIn and Twitter profile URLs associated with professional email addresses.
Log Hunter.io confidence scores to filter out low-probability contact vectors before downstream CRM ingestion.
Navigate deep domain results automatically to extract the full catalogue of available contacts, not just the first page.
Distribute requests across residential proxy pools to avoid IP bans and strict API throttling mechanisms.
Brief in. Clean data out.
Provide domain lists, company names, or article URLs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and CAPTCHA handling for hunter.io.
Schema validation, null-rate checks, and sample contact verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Contact databases invest heavily in scraping detection. Here is how we stay resilient.
Hunter.io uses strict bot mitigation. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass Cloudflare challenges.
Strict IP tracking blocks aggressive extraction. We distribute requests across thousands of residential IPs with randomised timing delays to mimic organic user search patterns.
Search results load dynamically via JavaScript. We use Playwright to execute client-side rendering, ensuring we capture data that headless HTTP clients miss.
Extracting thousands of contacts from large domains requires complex state management. Our pipeline maintains session continuity across deep pagination layers.
For large domain lists, we maintain a hash index of last-seen values. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Sales teams extract domain-specific contact lists to build targeted outbound email campaigns.
Revenue operations teams enrich existing account records with verified email patterns and department contacts.
HR and recruitment teams map organisational structures and headcounts based on extracted professional profiles.
Researchers extract author contact information from digital publications to conduct surveys and interviews.
Marketing teams build media lists by extracting journalist and editor emails via the Author Finder.
Security teams use email patterns and confidence scores to verify user identities during onboarding.
"Hunter.io aggregates professional contact data across millions of domains, but extracting that graph at scale requires bypassing strict rate limits and bot protections."
Most teams underestimate the investment required: reliable Hunter.io extraction requires residential proxies, session token management, CAPTCHA handling, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our hunter.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 handles JavaScript rendering and interaction flows.
We maintain pools of residential ISP proxies. Rotation happens per-request to prevent rate limit triggers.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About hunter.io scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available professional data is generally permissible. DataFlirt targets only public domain search results and unauthenticated profile data. We do not circumvent authentication walls to access private lead lists. Clients should consult legal counsel for specific GDPR and CCPA compliance regarding B2B contact data usage.
We use residential ISP proxies and request timing modelled on human behaviour. We monitor for rate limit responses in real time and trigger IP pool rotation automatically.
We extract domain email patterns, total contact counts, professional profiles including names and positions, verification statuses, confidence scores, and associated social media URLs.
Data is extracted in real time during the pipeline run. Full domain list refreshes complete within agreed SLA windows depending on the volume of target domains.
Our smallest packages start at a defined list of 5,000 domains. For larger catalogues, we price based on volume and delivery frequency.
Yes. We provide a sample run of up to 100 domains as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off domain list extraction or continuous monitoring of target accounts. Tell us what you need.
