twtData VS Sorsa API

• Easy Data Extraction
  twtData allows users to easily extract Twitter/X data such as followers, following lists, and tweet details without needing to write code or use the Twitter API directly, making it accessible to non-technical users.
• CSV Export Format
  Data is exported in CSV format, which is universally compatible with spreadsheet tools like Excel and Google Sheets, making it easy to analyze and manipulate the data.
• No API Setup Required
  Users don't need to set up Twitter API credentials or deal with developer accounts. twtData handles the API integration, saving significant time and technical effort.
• Pay-Per-Use Pricing
  The service offers a pay-per-use model rather than requiring expensive monthly subscriptions, which can be cost-effective for users who only need data occasionally.
• Useful for Marketing and Research
  The tool is valuable for marketers, researchers, and analysts who need Twitter audience data for competitor analysis, influencer marketing, lead generation, and social media research.

• Comprehensive Resume Parsing
  Sorsa API offers robust resume/CV parsing capabilities that can extract structured data from various document formats, making it easier to process candidate information automatically.
• Easy Integration
  The API is designed with a RESTful architecture, making it straightforward to integrate into existing applications, applicant tracking systems, and HR platforms with minimal development effort.
• Structured Data Output
  The API returns parsed resume data in well-organized JSON format, providing structured fields such as work experience, education, skills, and contact information that can be readily used in downstream applications.
• Multi-format Support
  Sorsa API supports multiple file formats for resume uploads including PDF, DOCX, and other common document types, providing flexibility in handling various candidate submissions.
• Developer-Friendly Documentation
  The API provides clear documentation and endpoints that help developers quickly understand how to implement and use the service effectively in their projects.

Possible disadvantages

• Limited Public Awareness
  Sorsa API is relatively lesser-known compared to established resume parsing competitors like Sovren, Affinda, or Textkernel, which may raise concerns about long-term reliability and community support.
• Uncertain Pricing Transparency
  Pricing details and tier structures may not be immediately clear or publicly available, making it difficult for potential users to evaluate cost-effectiveness before committing to the service.
• Limited Language Support
  The API may have limitations in parsing resumes written in non-English languages or handling multilingual documents compared to more established parsing solutions with broader language coverage.
• Accuracy Concerns with Complex Layouts
  Like many resume parsing APIs, Sorsa may struggle with unconventional resume formats, complex layouts, tables, or heavily designed resumes, potentially leading to incomplete or inaccurate data extraction.
• Limited Third-Party Integrations
  Compared to larger competitors, Sorsa API may offer fewer pre-built integrations with popular ATS platforms, CRM systems, and other HR technology tools, requiring more custom development work.

Tracking twtData since Mar 2023.

• Find Jobs on Twitter: How I Built a Hiring Scraper

  # scraper.py Import os Import requests API_KEY = os.environ["SORSA_API_KEY"] BASE_URL = "https://api.sorsa.io/v3" Def search_tweets(query: str, order: str = "latest"): """Hit Sorsa /search-tweets and return the tweet list.""" ... - Source: dev.to / 6 months ago