Crawl, scrape, extract, enrich, transform, query, validate, and orchestrate with Arrow, DataFusion, DuckDB, Parquet, durable workflows, AI-built spiders, lineage, quality gates, and a complete production API.
Seed URLs / APIs / files
-> Crawl frontier + browser rendering + proxy strategy
-> AI spider builder / selector discovery / repair / factory batches
-> Typed datasets + artifacts + schema registry
-> ETL parse/load/compress/fetch -> Parquet + Arrow RecordBatches
-> DataFusion Arrow SQL + DuckDB hybrid query + exports
-> Durable workflow templates + pipeline DAGs + schedules
-> Quality gates + dedup + taxonomy + decontamination
-> Lineage graph + governance + observability + downstream apps
Register Parquet paths, query Arrow-native DataFusion tables, run hybrid DuckDB SQL, inspect schemas/stats, and export results.
Reusable workflow templates, operation discovery, validation, durable runs, schedule control, worker progress, status updates, and lineage emission.
AI spider build, selector suggestions, test previews, repair, health, import/export, spider factory, crawl jobs, frontiers, and proxy pools.
Every endpoint grouped by domain — all 383 operations from the generated OpenAPI contract, with representative routes.
DataFusion Arrow SQL, DuckDB views, hybrid query, table registration, schema introspection, stats, and exports.
Parse JSON/CSV, write Parquet batches, load tables, compress/decompress files, fetch remote artifacts, and run ETL pipelines.
Create, validate, run, monitor, cancel, and discover operations for reusable durable workflows.
DAG pipelines, schedule start/stop/status, step execution, run progress/status, cancellation, and lineage registration.
AI build, field suggestion, repair, factory batches, CRUD, tests, health, imports, and exports.
Crawl jobs, strategies, frontier stats, pause/resume/cancel, proxy inventory, and stealth settings.
Typed dataset CRUD, rows, imports, exports, and statistics for extraction and enrichment outputs.
Assets, edges, upstream/downstream graph, consent records, and provenance across crawls, ETL, pipelines, and exports.
Heuristic filters, deduplication, profiles, scoring, taxonomy classification, benchmark decontamination, and quality gates.
Healthcare price transparency search, comparison, discrepancy detection, MRF/TiC ingestion, reference imports, and view refresh.
Events, sessions, traces, metrics, funnels, dashboards, destinations, projects, and OpenTelemetry ingestion.
Use REST/OpenAPI directly or call CrawlKit from agent tools, including the CrawlKit Pi extension for local agent workflows.
# Register Parquet as a DataFusion table
curl -X POST https://api.crawlkit.app/api/v1/query/register-table \
-H "Authorization: Bearer ck_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"table_name":"crawl_pages","parquet_path":"s3://crawlkit/tenant/pages/*.parquet"}'
# Query through the Arrow-native engine
curl -X POST https://api.crawlkit.app/api/v1/query/arrow \
-H "Authorization: Bearer ck_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"sql":"select status, count(*) from crawl_pages group by status","limit":100}'
# Build a spider from a representative URL
curl -X POST https://api.crawlkit.app/api/v1/spiders/build \
-H "Authorization: Bearer ck_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"target_url":"https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html","desired_fields":["title","price","availability"],"test_after_build":true}'
Machines should start at /llms.txt and /openapi.json. Humans can start with Arrow + DataFusion, Workflows, or Spiders.