DataForB2B

DataForB2B is a people and company search API powering live data from public sources across LinkedIn, GitHub, job boards, and web sources.

От сообществаРаботаетНужен API-ключГлобальныйБесплатноТолько чтение

Что умеет

  • Search Natural Language: Search using natural language. The LLM backend interprets your query and generates filters automatically. Examples: - "Software engineers in Paris with 5+ years of experience"
  • Enrich Profile: Enrich a professional profile with detailed data, emails, or GitHub. Supports batch enrichment with comma-separated identifiers. Args: profile_identifier: professional profile identifi
  • Enrich Company: Enrich a company with full data from public sources. Args: company_identifier: company identifier: - universal_name (slug): e.g. "google" - URL: https://linkedin.com/company/google - e

Какие данные видит

Нужен ли аккаунт

Нужен API-ключ из настроек сервиса

DataForB2B is a people and company search API powering live data from public sources across LinkedIn, GitHub, job boards, and web sources. Search by job title, company size, tech stack, funding stage, hiring signals, or past experience across 60+ filters with verified email enrichment. GDPR and CCPA compliant.

Список инструментов сервера (4)

Технические названия из tools/list. Нужны только разработчикам.

search_natural_language Search using natural language. The LLM backend interprets your query and generates filters automatically. Examples: - "Software engineers in Paris with 5+ years of experience" - "AI startups in France that raised Series A" - "Marketing managers at companies with 50-200 employees in the US" Args: query: Natural language search query (min 3 chars). category: "people" or "company". enrich_live: True for fresh live data, False for cached DB data. page: Page number (starting at 1). page_size: Results per page (default 25, max 100).
enrich_profile Enrich a professional profile with detailed data, emails, or GitHub. Supports batch enrichment with comma-separated identifiers. Args: profile_identifier: professional profile identifier. Supports: - URL: https://linkedin.com/in/john-doe - public_id: john-doe - encoded ID: prof_xxx - Batch: "prof_xxx1,prof_xxx2,prof_xxx3" enrich_profile: Get full profile details (default True). enrich_work_email: Find professional/work email. enrich_personal_email: Find personal email. enrich_github: Find GitHub profile.
enrich_company Enrich a company with full data from public sources. Args: company_identifier: company identifier: - universal_name (slug): e.g. "google" - URL: https://linkedin.com/company/google - encoded ID: org_xxx
search_lookalike Find similar people or companies using AI-powered vector similarity. Provide either `profile` (for people) or `company` (for companies), not both. Args: profile: professional profile URL, public_id, or member_identity to find similar people. company: company profile URL or universal_name to find similar companies. country: ISO country code to filter results (e.g. "FR", "US"). location: Location text filter (e.g. "Paris", "San Francisco Bay Area"). enrich_live: True for fresh live data, False for cached DB data. count: Number of results (1-100). offset: Pagination offset.