The Best Webcrawler API Alternatives in 2026

UnDatasIO transforms unstructured documents into data assets for AI applications, including document parsing.

Firecrawl provides a web data API for searching, scraping, and accessing information from web sources.

LlamaIndex processes documents for AI applications and provides developer documentation and integrations.

Flow AI provides data-agent infrastructure with a catalog and typed plans for building analytical agents over data products.

LiteLLM provides a way to call more than 100 language models through an OpenAI-compatible interface.

Fiber presents a simple approach to distributed computing for AI workloads.

Gymnasium provides a standard API for single agent reinforcement learning environments and related utilities.

Notte provides cloud browser infrastructure and web automation for AI and coding agents.

DeepLake provides multimodal data infrastructure for AI agents, including retrieval and training.

E2B provides an open-source secure environment with tools for enterprise agents.

Gradio creates web interfaces for machine learning models in Python so developers can share interactive demos and apps.

Hopsworks provides a feature store and MLOps platform for building and operating production machine learning systems.

Chutes provides serverless compute for deploying, running, and scaling AI models through its platform and API.

Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.

Keras provides a deep learning API for building and training machine learning models.

Feature Stores for ML shares information and knowledge about feature stores and their role in machine learning pipelines.

MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

This repository contains utilities intended for use with Llama models.

The colibri-core NLP tool and library works with n-grams, skipgrams, and other linguistic patterns.

Butterfree provides tools for building feature stores and transforming raw data.

Chunk Tuner benchmarks document chunking strategies for RAG and recommends a configuration through a CLI, Python library, or MCP server.

PromptSite provides prompt version management for tracking, experimentation, and debugging LLM prompts.

DEAP provides a Python framework for prototyping evolutionary computation algorithms and testing new ideas.

OpenLLMetry provides OpenTelemetry-based observability for generative AI and large language model applications.