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ScrapeAtlas Review 2026: API Pricing, Credits & Limits

Bring public social data into applications with coverage checks

Checked this monthResearch BasedFreemiumDeveloper Tools

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The decision

Should you choose ScrapeAtlas?

Test a narrow endpoint with the starter credits and measure usable records before purchasing.

Best for

Developers building public-data workflows; Analysts able to validate source coverage.

Choose something else if

Private-account data access; Buyers expecting a complete social-listening dashboard

Evidence

Verified research · rating withheld

Pricing checked

From $19 · Nov 10, 2026

Free access is available, with limits.

100 starter credits once per account; no credit card required.

DiscoverAI may earn a commission if you sign up or buy through our ScrapeAtlas affiliate link, at no additional cost to you. This relationship does not determine our verdict.

Community choice

Recommend ScrapeAtlas

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ScrapeAtlas is a candidate for developers who need public source data across platforms and can handle incomplete responses. Validate the exact endpoint and accepted-record cost before scaling.

Checked November 10, 2026: one-time USD packs: Starter $19/10,000 credits, Growth $89/50,000, Scale $249/200,000. 100 starter credits, once per account, no card. Credits do not expire. Successful partial and valid empty responses can be charged; some endpoints cost two credits.

Documentation review only; ratings withheld. DiscoverAI may earn a commission if you sign up or buy through our ScrapeAtlas affiliate link, at no additional cost to you. This relationship does not determine our verdict.

Personal Recommendation

Test a narrow endpoint with the starter credits and measure usable records before purchasing.

Try the recommendation

See whether ScrapeAtlas belongs in your stack

Test a narrow endpoint with the starter credits and measure usable records before purchasing.

DiscoverAI may earn a commission if you sign up or buy through our ScrapeAtlas affiliate link, at no additional cost to you. This relationship does not determine our verdict.

Evidence status

Rating withheld

Research Based
Last reviewed
Nov 10, 2026
Last updated
Nov 10, 2026

Editorial Review Framework

How ScrapeAtlas scores

Recently Updated
DiscoverAI has not published a documented evaluation that supports numerical scoring for this profile. Use the buyer guidance and primary sources, then run the suggested test in your own workflow.

Recommended For

  • Developers building public-data workflows
  • Analysts able to validate source coverage

Not Recommended For

  • Private-account data access
  • Buyers expecting a complete social-listening dashboard

Recommended Because…

Test a narrow endpoint with the starter credits and measure usable records before purchasing.

Research-based guidance is not converted into a numerical rating until a documented evaluation supports the score.

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0/7 checks complete
  1. Confirm the tool meets every must-have workflow and stakeholder requirement.

    Review starting point: Developers building public-data workflows; Analysts able to validate source coverage

  2. Run the same representative work you would use in production; do not score a polished demo.

    Review starting point: Complete three to five representative tasks with known acceptable outcomes and compare them with your current process.

  3. Calculate the effective cost per accepted result, including usage, review, corrections, and required add-ons.

    Review starting point: Checked November 10, 2026: one-time USD packs: Starter $19/10,000 credits, Growth $89/50,000, Scale $249/200,000. 100 starter credits, once per account, no card. Credits do not expire. Successful partial and valid empty responses can be charged; some endpoints cost two credits.

  4. Define an acceptance threshold, test known answers and edge cases, and record every correction.

    Review starting point: Editorial quality signals: features 0.0/5. Validate these signals in your own work.

  5. Verify what data enters the product, who can access it, how long it is retained, and whether it trains models.

    Review starting point: Use approved low-risk data first. Check roles, consent, deletion, subprocessors, model-training settings, and the contract—not only the marketing page.

  6. Test the real handoffs, permissions, failure states, and export path your team depends on.

    Review starting point: ScrapeAtlas integration requirements are not fully structured in this review; list every required system and test each connection.

  7. Record training, governance, reliability, accessibility, ownership, and change-management risks before rollout.

    Review starting point: Partial and empty results can consume credits; Coverage depends on source and endpoint; MCP compatibility needs confirmation

Open Decision Workspace

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Product interface evidence

Visual evidence statusWhat we verified without a screenshot

Evaluation

Research-based

Price posture

From $19/month

Reviewed

2026-11-10

No authentic product screenshot is published for this review. DiscoverAI does not use generated interface images as product evidence.

Pricing

Freemium
Free access
100 starter credits once per account; no credit card required.
Paid entry
From $19
Billing and plan model
One-time usage credit packs
Material limits
Checked November 10, 2026: one-time USD packs: Starter $19/10,000 credits, Growth $89/50,000, Scale $249/200,000. 100 starter credits, once per account, no card. Credits do not expire. Successful partial and valid empty responses can be charged; some endpoints cost two credits.

Editorial freshness

Checked this month

Pricing and material product claims were checked November 10, 2026.

Pros & Cons

Pros

  • One API for multiple public-data sources
  • One-time credit packs without expiry
  • Explicit partial-result coverage

Cons

  • Partial and empty results can consume credits
  • Coverage depends on source and endpoint
  • MCP compatibility needs confirmation

Best For

Developers building public-data workflowsAnalysts able to validate source coverage

Community evidence

How verified users put ScrapeAtlas to work

Structured, editor-moderated experience—not star ratings. This complements our independent review and never changes its score.

No approved community evidence yet. Be the first verified user to contribute.

Key Features

  • Structured JSON
  • REST API
  • Coverage and status fields
  • MCP preview
  • CLI

Integrations

    FAQs

    What is ScrapeAtlas?

    A public-data retrieval API returning structured JSON for applications, research workflows and AI agents. It is not itself a guarantee of complete data or accurate AI analysis.

    Is ScrapeAtlas free?

    The official offer lists 100 starter credits once per account, with no credit card. This is an initial grant, not a recurring monthly allowance.

    How much does ScrapeAtlas cost?

    One-time packs are $19 for 10,000 credits, $89 for 50,000 and $249 for 200,000, checked November 10, 2026. There is no monthly commitment; verify checkout before purchase.

    Do partial results use credits?

    Yes. The provider charges successful partial responses and valid empty collections. Pagination adds requests; check the endpoint rate and response accounting.

    Does it work with every MCP client?

    Do not assume so. The public MCP page describes a preview requiring Streamable HTTP and custom authorization headers, while the privacy policy also describes OAuth assistant connections. Confirm your exact client with the provider.

    Did DiscoverAI test ScrapeAtlas?

    No. This is official-documentation research dated November 10, 2026. No account, API, purchase, support or deletion tests were performed; ratings are withheld.

    Does DiscoverAI earn commission?

    DiscoverAI may earn a commission if you sign up or buy through our ScrapeAtlas affiliate link, at no additional cost to you. This relationship does not determine our verdict.

    Keep Deciding

    Where to go next

    Material changes only

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