B2B Data | Global Technographic Data | Sourced from HTML, Java Scripts & Jobs | 1B+ Records
收藏Databricks2026-01-01 收录
下载链接:
https://marketplace.databricks.com/details/78d585e5-751d-4baa-b89e-8b7685bfbbf6/PredictLeads_B2B-Data-Global-Technographic-Data-Sourced-from-HTML,-Java-Scripts-&-Jobs-1B+-Records
下载链接
链接失效反馈官方服务:
资源简介:
PredictLeads Global Technographic Dataset delivers in-depth insights into technology adoption across millions of companies worldwide. Our dataset, sourced from HTML, JavaScript, and job postings, enables B2B sales, marketing, and data enrichment teams to refine targeting, enhance lead scoring, and optimize outreach strategies. By tracking 48,000+ technologies across 99M+ websites, businesses can uncover market trends, assess competitor technology stacks, and personalize their approach.
Use Cases:
✅ Enhance CRM Data – Enrich company records with detailed real-time technology insights.
✅ Targeted Sales Outreach – Identify prospects based on their tech stack and personalize outreach.
✅ Competitor & Market Analysis – Gain insights into competitor technology adoption and industry trends.
✅ Lead Scoring & Prioritization – Rank potential customers based on adopted technologies.
✅ Personalized Marketing – Craft highly relevant campaigns based on technology adoption trends.
API Attributes & Structure:
- id (string, UUID) – Unique identifier for each technology detection.
- first_seen_at (ISO 8601 date-time) – Timestamp when the technology was first detected on the company's website.
- last_seen_at (ISO 8601 date-time) – Most recent timestamp when the technology was last observed.
- behind_firewall (boolean) – Indicates whether the technology is protected behind a firewall.
- score (float, 0–1) – Confidence score for the detection accuracy.
- company (object) – The company using the detected technology, including:
- - id (UUID) – Unique company identifier.
- - domain (string) – Company website domain.
- - company_name (string) – Company's official name.
- - ticker (string, nullable) – Stock ticker (if publicly listed).
- technology (object) – Information on the detected technology, including:
- - id (UUID) – Unique technology identifier.
- - name (string) – Technology name (e.g., Salesforce, HubSpot, AWS).
- seen_on_job_openings (boolean) – True/False flag indicating if the technology is - mentioned in job postings.
- seen_on_subpages (array of objects) – List of company subpages where the technology was detected.
📌 PredictLeads Technographic Data is trusted by enterprises and B2B professionals for accurate, real-time technology intelligence, enabling smarter prospecting, data-driven marketing, and competitive analysis
PredictLeads Technology Detections Dataset
https://docs.predictleads.com/v3/guide/technology_detections_dataset
提供机构:
PredictLeads



