Title: Engineering Alert: Handling Breaking Changes in Etherscan APIs (July 2026

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3 May 2026
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For years, Etherscan has been the backbone of Ethereum data indexing. However, a significant shift is coming. Effective July 1, 2026, Etherscan is implementing breaking changes to its Free Tier API constraints.
If your dApp, indexer, or analytics tool relies on Etherscan, you need to refactor your data-fetching logic now to avoid service disruptions.

1. The Pagination Crunch: 10k to 1k Record Limit

The most critical update is the reduction of the maximum records returned per request. The limit is dropping from 10,000 to 1,000 records for Free tier users.
Technical Impact:
Standard fetch requests for high-velocity addresses (like CEX hot wallets or popular DeFi protocols) will now return incomplete datasets if your offset was previously set to any value above 1,000.
Affected Endpoints:

  • Account Module: txlisttxlistinternaltokentxtokennfttxtoken1155tx.
  • Logs & Others: getLogsgetWithdrawals, and Token Holder Lists.

Action Required: Implement Aggressive Pagination
You must refactor your fetch loops. If you were pulling 10,000 records in one call, you must now execute 10 sequential (or throttled) calls.

2. Endpoint Migration: Block Range Internal Tx to Pro Tier

The endpoint Get Internal Transactions by Block Range is moving behind a Pro Plan paywall.
Technical Impact:
Requests to this endpoint using a Free Tier API key will return a 403 Forbidden or a specific tier-limit error starting July 2026.
Mitigation Strategies:

  • Tier Upgrade: The most straightforward fix for enterprise-grade applications.
  • Granular Querying: Instead of querying by block range, you may need to fetch internal transactions by specific Transaction Hash (txhash), though this increases the number of API calls significantly.

3. Managing Rate Limits (Throttling)

The Free Tier maintains a limit of 5 requests per second (RPS). Since you now need more requests to fetch the same amount of data, you are significantly more likely to hit 429 Too Many Requests errors. Implement an Exponential Backoff to ensure stability.

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