Sorsa is a fast, reliable REST API that provides structured, read-only access to public X (Twitter) data. Built as an affordable alternative to the official X API, it offers 38 endpoints covering everything developers need: user profiles, tweet timelines, search, comments, quotes, retweets, follower and following lists, community data, and engagement verification. Where the official X API charges $5,000/month for 1 million tweets and enforces a slow approval process, Sorsa delivers the same data at up to 50x lower cost with a 3-minute setup. No OAuth flows, no developer approval queue, no complex credit systems. Just an API key and clean JSON responses. Rate limits are set at 20 requests per second across all plans, making Sorsa practical for real-time workloads: social listening pipelines, brand monitoring dashboards, sentiment analysis for trading, and automated campaign verification. Batch endpoints allow fetching up to 100 tweets or profiles in a single request, reducing both cost and latency for high-volume workflows. The API is used by backend developers, data engineers, AI teams, growth marketers, Web3 analysts, trading firms, and indie hackers. It integrates with Python, JavaScript, and any language supporting HTTP, and connects easily to no-code tools like Make, Zapier, and n8n, as well as data warehouses like BigQuery, Snowflake, and PostgreSQL. Sorsa also includes a set of verification endpoints for confirming campaign participation (follows, retweets, comments, community membership), and a proprietary influence scoring system built for crypto and Web3 use cases. Documentation is structured for both humans and LLMs, enabling one-shot integration with AI agents and tools like Claude, GPT-4o, and Cursor. Plans start at $49/month. Uptime stands at 99.9% since launch in 2022.
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.
I don't have verified information about Sorsa API (api.sorsa.io) in my knowledge base, so I can't confirm its quality, features, or reliability. I'd recommend researching it directly through official documentation, user reviews, and independent testing before adoption.
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Check the traffic stats of Sorsa API on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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Check the "Domain Authority" of Sorsa API on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Sorsa API on Reddit. This can help you find out how popualr the product is and what people think about it.
# 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.""" response = requests.post( f"{BASE_URL}/search-tweets", headers={"ApiKey": API_KEY}, json={"query": query, "order": order}, timeout=15, ) ... - Source: dev.to / 3 months ago
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