Extract candidate profiles, work histories, skill graphs, and company directories from SignalHire. Delivered as clean JSON, CSV, or Parquet to your warehouse.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Candidate Profiles objects from signalhire.com. All fields typed and schema-versioned.
"profile_id": "sh_9823471", "full_name": "Arjun Patel", "current_title": "Senior Software Engineer", "current_company": "TechCorp India", "location": "Bengaluru, Karnataka", "industry": "Information Technology", "connection_count": 500, "profile_url": "https://www.signalhire.com/profiles/arjun-patel-9823471"
| # | profile_id | full_name | current_title | current_company | location | industry |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Work History objects from signalhire.com. All fields typed and schema-versioned.
"profile_id": "sh_9823471", "company_name": "TechCorp India", "title": "Senior Software Engineer", "start_date": "2021-04-01", "end_date": "present", "duration_months": 38, "location": "Bengaluru"
| # | profile_id | company_name | title | start_date | end_date | duration_months |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Education objects from signalhire.com. All fields typed and schema-versioned.
"profile_id": "sh_9823471", "institution_name": "Visvesvaraya Technological University", "degree": "Bachelor of Engineering", "field_of_study": "Computer Science", "start_year": "2015", "end_year": "2019", "activities": "Coding Club President"
| # | profile_id | institution_name | degree | field_of_study | start_year | end_year |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Company Data objects from signalhire.com. All fields typed and schema-versioned.
"company_id": "comp_44512", "company_name": "TechCorp India", "website": "techcorp.in", "industry": "Information Technology", "employee_count_range": "1001-5000", "headquarters": "Bengaluru, Karnataka", "founded_year": "2010"
| # | company_id | company_name | website | industry | employee_count_range | headquarters |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Skills objects from signalhire.com. All fields typed and schema-versioned.
"profile_id": "sh_9823471", "skill_name": "Python", "endorsement_count": 42, "category": "Programming Languages", "primary_skill": true, "verified": false, "years_experience": 5
| # | profile_id | skill_name | endorsement_count | category | primary_skill | years_experience |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our SignalHire scraper handles complex search pagination, profile rendering, and anti-bot mitigation to deliver structured professional data at volume.
Extract names, titles, locations, summaries, and social links from public candidate profiles.
Map corporate structures, employee counts, headquarters, and industry classifications.
Capture chronological employment records, titles, durations, and role descriptions.
Extract degrees, institutions, study fields, and graduation years for candidate profiling.
Compile technical and soft skills listed on profiles to build searchable talent pools.
Collect associated public social URLs provided within the SignalHire profile.
Paginate through SignalHire search results based on specific job titles, locations, or companies.
Extract lists of current and past employees for specific target organisations.
Monitor specific profiles for job changes, promotions, or location updates over time.
Brief in. Clean data out.
Provide target companies, job titles, locations, or specific SignalHire profile URLs.
We configure extraction logic, proxy rotation, and CAPTCHA handling for signalhire.com.
Schema validation, null-rate checks, and data normalisation before full launch.
Clean structured data pushed to your warehouse or object storage on schedule.
SignalHire restricts high-volume profile viewing. We manage session rotation and IP distribution to maintain continuous extraction.
SignalHire limits profile views per IP. We distribute requests across a global pool of residential proxies to maintain low request rates per node.
We simulate real browser sessions with accurate headers, user agents, and TLS fingerprints to avoid automated detection triggers.
SignalHire updates its frontend structure. We use multi-layered selectors to ensure data extraction continues even when CSS classes change.
For ongoing monitoring, we hash profile states and only extract full records when changes are detected, reducing bandwidth and processing time.
Pipelines emit telemetry to Grafana. We monitor success rates and trigger automatic interventions if extraction yields drop.
Recruitment agencies build internal databases of passive candidates mapped by skill, location, and experience.
Applicant tracking systems enrich partial candidate profiles with full work histories and educational backgrounds.
Sales teams map target accounts, identifying decision-makers and their career trajectories.
Consultancies analyse talent migration between competitors and identify emerging skill clusters in specific regions.
Organisations track competitor hiring velocity and department expansion through employee headcount changes.
Private equity firms evaluate executive team backgrounds and engineering talent quality before acquisitions.
"SignalHire contains millions of professional profiles and company structures, but extracting this graph requires distributed infrastructure."
Building a reliable pipeline for SignalHire means handling aggressive rate limits, CAPTCHA walls, and frequent DOM changes. DataFlirt manages the proxies, sessions, and extraction logic so you receive clean data without maintaining infrastructure.
Everything supported by our signalhire.com 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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About signalhire.com scraping, legality, and pipeline operations.
Ask us directly →We extract publicly visible data including candidate names, job titles, work histories, educational backgrounds, skills, and company metadata. We do not bypass authentication to extract gated contact information like private emails or phone numbers without client-provided API credits.
We use a distributed network of residential proxies and manage session cookies to distribute request volume. This prevents IP bans and ensures continuous data extraction at scale.
Yes. We can configure delta pipelines that monitor a specific list of profiles or companies, returning data only when a candidate updates their current role or location.
We extract public social links visible on the profile. For gated emails and phone numbers, SignalHire requires paid credits. If you provide an authenticated account or API key, we can integrate that retrieval into the pipeline.
Data is highly normalised. Work histories and educational backgrounds are delivered as nested arrays in JSON, or flattened into relational tables for CSV and Parquet formats.
For standard profile extraction based on search URLs, pipelines can be deployed within 48 hours. Delivery cadence can be set to daily, weekly, or monthly depending on your requirements.
Yes. We offer a sample extraction of up to 500 profiles based on your target criteria to validate schema fit and data quality before formal engagement.
20-minute scoping call. Pilot dataset within the week. Production within two. From targeted company alumni lists to bulk talent extraction, we build and operate the pipeline. Tell us your requirements.
