Api Data Extractor
Extract, transform, and load data from REST and GraphQL APIs with authentication and pagination
What You Can Do
You can pull structured data from any REST or GraphQL endpoint, automatically managing authentication (API keys, OAuth, Basic Auth), pagination across multiple pages, rate limit compliance, and transient failure retries. Claude transforms raw API responses into normalized, schema-validated datasets deduplicated and formatted for immediate downstream analysis or storage.
Features
automatically detects and handles both API types
supports API keys, OAuth tokens, Basic Auth, and custom headers
manages cursor-based, offset, and page-number pagination schemes
respects API quotas and implements exponential backoff retries
validates extracted data against your predefined data schemas
gracefully handles 429, 503, timeout, and network errors
flattens nested structures, renames fields, converts types, deduplicates
reports success rates, row counts, and failed requests with diagnostics
Example Output
Example 1: REST API extraction with pagination
Extracted 2,847 user records from /api/v1/users endpoint
- Applied pagination: 20 records/page × 143 pages
- Schema validation: 100% success (0 failures)
- Deduplicated: 12 duplicate entries removed
- Output: users_2024-01-15.json (2.3 MB)
Example 2: GraphQL transformation
Query: { users { id name email posts { id title } } }
Extracted 1,543 users with nested posts flattened
Transformation applied:
- Nested posts array → separate user_posts table
- email field renamed to contact_email
- created_at timestamp → ISO 8601 format
Output: users.csv (143 KB), user_posts.csv (856 KB)
Example 3: Rate-limited API with retries
Stripe API extraction (100 req/sec limit)
- Initial attempt: 3,200 requests over 45 seconds
- Rate limit hit: 429 responses at request 1,847
- Backoff retry: resumed after 30s delay
- Final success: 5,120 transaction records extracted
- Duration: 2 min 15 sec (with intelligent delays)
What's Included
- api-data-extractor SKILL.md: instruction file with activation signals and best practices
- REST API template: pre-built configuration for common REST endpoints with pagination patterns
- GraphQL query template: example queries and response transformation logic
- Authentication config checklist: secure credential handling patterns for API keys, OAuth, tokens
- Error handling reference: retry strategies, rate limit detection, and failure logging
- Schema validation framework: JSON schema templates for validating extracted datasets
Who It's For
- Backend engineers — building data pipelines and ETL workflows
- Data engineers — extracting datasets from SaaS APIs for warehouses
- API integration specialists — connecting third-party services and syncing data
- Product analysts — pulling user and usage data from analytics or business APIs
- DevOps/Site reliability engineers — automating data collection for monitoring and reporting
Best For
- Multi-page data extraction — handling pagination at scale
- Rate-limited API integrations — respecting quotas and implementing backoff logic
- Data transformation workflows — normalizing and flattening nested API responses
- Schema validation pipelines — ensuring data quality before storage or analysis
- Error-resilient batch jobs — recovering from transient failures and retrying intelligently
You might also like
This skill enables you to automatically audit your websites against compliance standards and detect deviations from expected baselines. You can track regulatory requirements, identify policy violations, and generate compliance reports with actionable remediation steps. Monitor multiple sites simultaneously and maintain detailed audit trails for compliance documentation.
Analyze chemical processes systematically to identify hazards, assess risks, and generate safety recommendations. You can perform HAZOP analyses, evaluate compliance with industry standards, conduct root-cause analysis of incidents, and develop emergency response procedures. The skill guides you through structured safety reviews that reduce the likelihood of accidents and regulatory violations.
You'll develop systematic approaches to injectable formulation design, from API selection through sterilization strategy. Claude helps you troubleshoot failed batches by analyzing root causes, recommends regulatory pathways (505(b)(2), ANDA, NDA), and provides science-backed solutions for stability, compatibility, and manufacturability challenges.
You can conduct comprehensive hazard analyses for chemical processes using industry-standard methodologies like HAZOP and LOPA. The skill helps you assess risks quantitatively, identify control gaps, design engineered safeguards, and generate formal documentation for regulatory compliance and process safety management.
Claude analyzes your code diffs and generates standardized commit messages that follow the Conventional Commits specification. The skill automatically determines the correct commit type, scope, and description based on the changes you've made, ensuring your messages are parseable by automation tools while remaining human-readable for code reviewers.
You can transform raw text into structured, labeled datasets for machine learning, analysis, and research. This skill performs named entity recognition, sentiment classification, part-of-speech tagging, and dependency parsing—generating consistent, validated annotations at scale. Use it to prepare corpora, extract entities, classify documents, or perform linguistic analysis without manual annotation.
This skill automates the creation of production-ready deployment validation checklists, infrastructure-as-code templates, and incident response runbooks tailored to your ML stack. You get comprehensive pre-deployment checks covering model validation, data pipeline integrity, infrastructure readiness, and monitoring setup—all customized for your specific models and cloud provider. The skill generates executable runbooks that teams can follow during incidents, including rollback procedures, failover strategies, and diagnostic commands.
Rapidly analyze firmware logs and diagnose hardware issues that cause device failures, connectivity problems, and performance degradation. You'll identify root causes from stack traces, crash dumps, and sensor data, then generate specific optimization recommendations. This skill transforms raw device logs into actionable debugging plans that reduce time-to-resolution from hours to minutes.