Home/Compare/Scrapling vs Agent-Reach

Comparison

Scrapling vs Agent-Reach

Verdict

Pick Scrapling when license: Scrapling is BSD-3-Clause, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, Scrapling is BSD-3-Clause.

Markdown twin · Scrapling alternatives · Agent-Reach alternatives

GraphCanon updated today

Scrapling logo

Scrapling

D4Vinci/Scrapling

69kpushed Jul 8, 2026
vs
Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

55kpushed Jul 10, 2026

Trust & integrity

SignalScraplingAgent-Reach
Maintenance
Very active (2d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No MCP manifest
As of today · mcp_manifest
No MCP manifest
As of today · mcp_manifest

Tagline

Scrapling
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
Agent-Reach
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

Stars

Scrapling
69k
Agent-Reach
55k

Forks

Scrapling
6.8k
Agent-Reach
4.5k

Open issues

Scrapling
3
Agent-Reach
144

Language

Scrapling
Python
Agent-Reach
Python

Adopt for

Scrapling
-
Agent-Reach
-

Persona

Scrapling
-
Agent-Reach
-

Runtime

Scrapling
-
Agent-Reach
-

License

Scrapling
BSD-3-Clause
Agent-Reach
MIT

Last pushed

Scrapling
Jul 8, 2026
Agent-Reach
Jul 10, 2026

Categories

Scrapling
Data & Retrieval, Developer Tools
Agent-Reach
AI Agents, Developer Tools, LLM Frameworks

Trust and health

Days since push

Scrapling
2d
Agent-Reach
0d

Open issues (now)

Scrapling
3
Agent-Reach
144

Full report

Scrapling
Trust report
Agent-Reach
Trust report

Choose Scrapling if…

  • License: Scrapling is BSD-3-Clause, Agent-Reach is MIT.
  • Tags unique to Scrapling: ai, ai-scraping, crawler, crawling.
  • Also covers Data & Retrieval.

When NOT to use Scrapling

  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

Choose Agent-Reach if…

  • License: Agent-Reach is MIT, Scrapling is BSD-3-Clause.
  • Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, bilibili.
  • Also covers AI Agents, LLM Frameworks.

When NOT to use Agent-Reach

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Scrapling 69k · Agent-Reach 55k (synced Jul 11, 2026).

Common questions

What is the difference between Scrapling and Agent-Reach?
Scrapling: 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!. Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. See the comparison table for live GitHub stats and shared categories.
When should I choose Scrapling over Agent-Reach?
Choose Scrapling over Agent-Reach when License: Scrapling is BSD-3-Clause, Agent-Reach is MIT; Tags unique to Scrapling: ai, ai-scraping, crawler, crawling; Also covers Data & Retrieval.
When should I choose Agent-Reach over Scrapling?
Choose Agent-Reach over Scrapling when License: Agent-Reach is MIT, Scrapling is BSD-3-Clause; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, bilibili; Also covers AI Agents, LLM Frameworks.
When should I avoid Scrapling?
Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
When should I avoid Agent-Reach?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is Scrapling or Agent-Reach more popular on GitHub?
Scrapling has more GitHub stars (69,097 vs 54,715). Stars measure visibility, not whether either tool fits your constraints.
Are Scrapling and Agent-Reach open source?
Yes - both are open-source projects on GitHub (Scrapling: BSD-3-Clause, Agent-Reach: MIT).
Where can I find alternatives to Scrapling or Agent-Reach?
GraphCanon lists graph-backed alternatives at Scrapling alternatives and Agent-Reach alternatives (Scrapling markdown twin, Agent-Reach markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, Scrapling or Agent-Reach?
Scrapling: Very active. Agent-Reach: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for Scrapling and Agent-Reach?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Scrapling trust report; Agent-Reach trust report.