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Overview

LinkedIn is one of the most challenging platforms for data acquisition — anti-bot systems, frequent layout changes, and aggressive rate limits make traditional approaches unreliable. WraithBytes solves this with isolated execution environments and self-healing parsers. Each request runs in a fresh, isolated environment built with Rust and Go. This architecture eliminates shared state, enables instant horizontal scaling, and delivers consistent 3-8 second response times.

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Available Parsers

Profile

Personal info, experience, education, skills, posts

Company

Industry, size, locations, specialties

Jobs

Job listings with search filters

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How to Fetch LinkedIn Data

All LinkedIn data is acquired through the universal fetch endpoint. The parser is automatically selected based on the URL:
URL PatternParser
linkedin.com/in/usernameProfile
linkedin.com/company/nameCompany
linkedin.com/jobs/searchJobs

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Example: Fetch a Profile

curl -X POST https://web-acq.wraithbytes.com/api/v1/internet/fetch/ \
  -H "Authorization: Bearer $WRAITHBYTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://www.linkedin.com/in/username"}'

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Authentication

All requests require Bearer token authentication: 
Authorization: Bearer YOUR_API_KEY

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Rate Limits

No rate limits — unlimited concurrent requests supported.

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Data Characteristics

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Encoding

  • UTF-8 for all text fields
  • Supports international characters

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Timestamps

  • Format: ISO 8601 (YYYY-MM-DDTHH:mm:ssZ)
  • Timezone: UTC

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Date Fields

  • Profile/Company dates: YYYY-MM or YYYY format
  • Metadata timestamps: ISO 8601

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Nullability

  • Most fields can be null if not present on LinkedIn
  • Always present: core identifiers and timestamps

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Data Freshness

  • Data is acquired on-demand (real-time)
  • scraped_at timestamp indicates when data was retrieved
  • Recommend re-fetching periodically for current data