Last updated September 16, 2026
Reviewed by AstronovAI Editorial Team

ScrapeGraphAI vs Linkup

Compare positioning, pricing, scores, trial status, strengths, limitations, and best-fit use cases before choosing the right AI tool.

View comparison table Read takeaway
S

ScrapeGraphAI

64 Score 0.0 Rating Freemium Pricing

AI web data extraction platform with API, SDKs, crawls, search, and monitoring

L

Linkup

57 Score 0.0 Rating Paid Pricing

Production web search, extraction, and research API for AI systems

Best decision mode No single winner
Score signal 64 vs 57 close score signal
Pricing models Freemium vs Paid
Comparison type Similar category
Best reasons to choose

ScrapeGraphAI

  • Public credit-based pricing
  • REST API v2 is directly documented
  • MIT-licensed SDKs and open-source framework
Best reasons to choose

Linkup

  • Clear usage-based public pricing
  • Designed for production AI workloads
  • Enterprise private-index and BYOC options
Decision guidance

Who should choose each tool?

Use this section as a fast buyer-fit shortcut before reading the full comparison table.

Choose ScrapeGraphAI if...

You need support for Developers building lawful web extraction and monitoring. Its listed pricing model is Freemium, and its main profile use is Create an account and API key, confirm lawful access to target sites, choose the appropriate service and formats, respect robots and rate limits, val….

Choose Linkup if...

You need support for Developers and enterprises grounding agents in current and cited web data. Its listed pricing model is Paid, and its main profile use is Create an API account, choose Fetch, Search, or Research, call Linkup from Python, Node.js, cURL, an OpenAI wrapper, or an agent framework, tune sour….

Side-by-side profile data

Comparison table

Compare the most important decision fields without opening multiple tabs.

Pricing
Freemium
Paid
Free trial
Yes
Yes
Rating
0.0
0.0
AI score
64
57
Best fit
Developers building lawful web extraction, monitoring, and agent data pipelines
Developers and enterprises grounding agents in current, cited web data
Use case
Create an account and API key, confirm lawful access to target sites, choose the appropriate service and formats, respect robots and rate limits, validate extracted data, and avoid collecting prohibited or sensitive information.
Create an API account, choose Fetch, Search, or Research, call Linkup from Python, Node.js, cURL, an OpenAI wrapper, or an agent framework, tune sources and freshness, and use returned citations or structured results inside agents, copilots, and research pipelines.
Pros
  • Public credit-based pricing
  • REST API v2 is directly documented
  • MIT-licensed SDKs and open-source framework
  • Clear usage-based public pricing
  • Designed for production AI workloads
  • Enterprise private-index and BYOC options
Cons
  • Free credits are one-time in the live pricing page
  • Anti-bot and stealth modes consume additional credits
  • Research requests can take several minutes
  • Costs increase with depth and result complexity

ScrapeGraphAI vs Linkup Comparison

This page compares ScrapeGraphAI and Linkup using verified profile fields from AstronovAI, including use case, pricing model, trial status, strengths, limitations, ratings, and score signals.

Both tools share a similar category context, so the comparison focuses on practical differences in positioning, feature fit, and adoption criteria.

Comparison Methodology

AstronovAI compares tools using verified profile fields such as category, primary use case, pricing model, trial status, ratings, pros, cons, and editorial review status.

Pricing

We show the listed pricing model and avoid treating unknown fields as confirmed offers.

Use Case Fit

We compare the main use case and target context of each tool before assigning any recommendation.

Profile Quality

Tools must pass content verification checks before they appear in public comparisons.

Score Signal

Scores are treated as one signal, not as a replacement for feature and use-case review.

Editorial takeaway

Which tool is the better fit?

No universal winner — choose by use case

The score signals are close or the tools serve different workflows, so this comparison is designed to match each product to the right job instead of forcing a single winner.

ScrapeGraphAI Developers building lawful web extraction, monitoring, and and agent data pipelines
Linkup Developers and enterprises grounding agents in current, cited web data, and AI application developers

Review pricing, trial status, use cases, strengths, limitations, and profile details before choosing, especially when the tools serve different workflows.

Answers

Frequently Asked Questions

Should I choose ScrapeGraphAI or Linkup؟

Choose based on your workflow:

  • ScrapeGraphAI: Developers building lawful web extraction, monitoring, and and agent data pipelines
  • Linkup: Developers and enterprises grounding agents in current, cited web data, and AI application developers
What separates these tools from each other?

The main difference is positioning: each tool is evaluated against its primary use case, pricing model, trial status, ratings, strengths, and limitations.

  • ScrapeGraphAI: Developers building lawful web extraction and monitoring
  • Linkup: Developers and enterprises grounding agents in current and cited web data
Which profile should I review first?

Start with the tool whose primary use case matches your immediate goal, then check limitations and pricing before signup or procurement.

Are free plans or trials guaranteed?

No. Trial and plan information can change, so the comparison table uses the latest verified profile fields available in AstronovAI and should be checked against the vendor page before purchase.

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