We extract verified emails, direct dials, firmographics, and organisational charts from Seamless.Ai. 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 Contact Profiles objects from seamless.ai. All fields typed and schema-versioned.
"profile_id": "CNT_8492018", "first_name": "Arjun", "last_name": "Mehta", "job_title": "VP of Engineering", "seniority_level": "VP", "department": "Engineering"
| # | profile_id | first_name | last_name | job_title | seniority_level | department |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Company Firmographics objects from seamless.ai. All fields typed and schema-versioned.
"company_id": "CMP_99210", "company_name": "FinTech Solutions Ltd", "website_url": "fintechsolutions.example.com", "industry": "Financial Services", "employee_count": "501-1000", "revenue_range": "$50M-$100M"
| # | company_id | company_name | website_url | industry | employee_count | revenue_range |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Contact Info objects from seamless.ai. All fields typed and schema-versioned.
"profile_id": "CNT_8492018", "primary_email": "arjun.m@fintechsolutions.example.com", "email_validation_status": "Verified", "direct_dial": "+1-415-555-0198", "mobile_phone": "+1-415-555-0199", "hq_phone": "+1-415-555-0000"
| # | profile_id | primary_email | secondary_email | email_validation_status | direct_dial | mobile_phone |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Social & Web objects from seamless.ai. All fields typed and schema-versioned.
"profile_id": "CNT_8492018", "linkedin_profile": "linkedin.com/in/arjunmehta", "twitter_profile": "twitter.com/arjunm", "github_profile": "github.com/arjunm-eng", "personal_website": "arjunmehta.example.com", "company_blog": "fintechsolutions.example.com/blog"
| # | profile_id | linkedin_profile | twitter_profile | facebook_profile | github_profile | personal_website |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from seamless.ai. All fields typed and schema-versioned.
"search_query": "VP Engineering Financial Services", "job_title_filter": "VP Engineering", "industry_filter": "Financial Services", "result_position": 14, "profile_id": "CNT_8492018", "scraped_at": "2026-05-12T09:14:33Z"
| # | search_query | job_title_filter | industry_filter | result_position | profile_id | company_id |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles the dynamic search interfaces, pagination, and data enrichment layers of Seamless.Ai with JavaScript rendering, session management, and rate-limit circumvention built in.
Extract verified emails, direct dials, and mobile numbers tied to specific decision-makers.
Capture company size, revenue estimates, industry classifications, and HQ locations.
Automate complex queries using title, industry, and location filters to build targeted lists.
Deep crawl search results across thousands of pages without hitting display limits.
Capture bounce risk indicators and validation scores natively provided by the platform.
Extract the software and tools used by target companies to refine your outreach.
Gather LinkedIn, Twitter, and GitHub URLs for multi-channel sales cadences.
Map reporting structures and department headcounts within large enterprise accounts.
Run one-off bulk exports or configure continuous pipelines to catch job changes.
Brief in. Clean data out.
Provide target accounts, ICP criteria, or specific search URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for seamless.ai.
Schema validation, null-rate checks, and sample data review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
B2B data platforms invest heavily in scraping detection. Here is how we stay resilient and why teams choose managed infrastructure over DIY.
We route requests through residential ISP proxies with realistic browser fingerprints and full cookie session management to avoid IP bans.
Seamless.Ai relies heavily on React. We run full Playwright browser sessions to execute JavaScript and hydrate data tables.
We distribute requests across hundreds of concurrent sessions to stay strictly under the platform's API rate limits.
Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline overnight.
Every run emits structured logs to our observability stack. We alert on null-rate spikes and coverage drops automatically.
SDR teams use extracted direct dials and verified emails to feed their outreach tools at scale.
RevOps teams scrape entire industry categories to map their Total Addressable Market accurately.
Marketing operations automatically append missing phone numbers and titles to existing Salesforce records.
Recruiters build passive candidate lists by targeting specific seniority levels and technical skills.
Strategy teams monitor competitor headcounts and departmental growth over time.
Growth teams map all decision-makers within target enterprise accounts to launch coordinated ad campaigns.
"Seamless.Ai holds a massive repository of B2B contact intelligence, but extracting it at scale requires dedicated infrastructure and session management."
Most teams underestimate the investment required: reliable B2B directory scraping requires residential proxies, full JavaScript rendering, 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 seamless.ai 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 deduplication. Playwright handles JavaScript rendering and interaction flows.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required.
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 seamless.ai scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly accessible B2B contact data is generally permissible, but extracting gated data behind a login requires adherence to terms of service. Clients must provide their own access credentials if targeting authenticated views and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions, and request timing modelled on human behaviour. We distribute load across multiple sessions to stay within acceptable limits.
Data is extracted in real-time based on your pipeline schedule. Continuous pipelines ensure you capture the latest job titles and verified contact details as they update on the platform.
Our smallest packages start at a defined list of 10,000 target accounts or specific search criteria. Contact us with your use case for a scoped quote.
Absolutely. We provide a sample run of up to 500 profiles as part of the pre-engagement scoping process so you can validate data quality before signing any contract.
Yes. We bypass standard display limits by programmatically adjusting search filters to slice large result sets into smaller, fully extractable chunks.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off list export or a continuous enrichment feed across thousands of accounts, we scope, build, and operate the pipeline. Tell us what you need.
