[{"data":1,"prerenderedAt":1050},["ShallowReactive",2],{"blog-post-en-json-best-practices":3,"surround-\u002Fen\u002Fblog\u002Fjson-best-practices":1043},{"id":4,"title":5,"author":6,"body":7,"category":1019,"date":1020,"description":1021,"draft":1022,"extension":1023,"h1":1024,"image":1025,"lastmod":1020,"locales":1026,"meta":1029,"navigation":855,"path":1030,"promo":1031,"seo":1035,"stem":1036,"tags":1037,"__hash__":1042},"blog\u002Fen\u002Fblog\u002Fjson-best-practices.md","JSON Best Practices in Real Projects: API Design, Performance, and Security","BulkPicTools Team",{"type":8,"value":9,"toc":976},"minimark",[10,14,27,35,47,50,55,60,63,68,79,84,90,93,122,126,132,138,141,147,150,154,160,187,190,202,204,208,212,215,235,238,252,259,263,266,272,274,282,284,300,304,306,360,362,370,372,376,380,383,389,391,399,402,414,418,421,429,432,444,447,455,459,462,468,470,478,480,484,488,491,510,513,519,521,531,535,538,556,559,567,570,574,577,614,616,621,623,627,631,634,642,644,652,656,659,665,668,670,674,678,685,693,695,700,704,707,713,715,723,725,729,733,736,742,745,753,755,769,773,775,780,782,790,792,800,804,806,814,816,824,826,834,836,840,844,882,886,923,927,948,950,954,968],[11,12,13],"p",{},"In most web projects, JSON has become the de facto standard for data exchange. But \"using JSON\" and \"using JSON well\" are two different things:",[15,16,17,21,24],"ul",{},[18,19,20],"li",{},"Inconsistent response structures make frontend code hard to maintain;",[18,22,23],{},"Large JSON payloads cause page freezes and API timeouts;",[18,25,26],{},"Sensitive information accidentally ends up in responses, creating security risks.",[11,28,29,30,34],{},"This article covers ",[31,32,33],"strong",{},"API design, performance optimization, and security practices"," for using JSON in real-world projects, summarizing standards, anti-patterns, and checklists to help you build more robust frontend–backend systems.",[36,37,38],"blockquote",{},[11,39,40,41,46],{},"If you're designing or refactoring APIs, you can paste example JSON into the ",[42,43,45],"a",{"href":44},"\u002F","JSON Editor"," on the homepage to adjust the structure while instantly checking format and validity.",[48,49],"hr",{},[51,52,54],"h2",{"id":53},"_1-standardizing-api-response-structures","1. Standardizing API Response Structures",[56,57,59],"h3",{"id":58},"_11-recommended-base-structure","1.1 Recommended Base Structure",[11,61,62],{},"For most business endpoints, use a consistent top-level structure, for example:",[11,64,65],{},[31,66,67],{},"Success response:",[69,70,76],"pre",{"className":71,"code":73,"language":74,"meta":75},[72],"language-json","{\n  \"success\": true,\n  \"data\": {\n    \"id\": 12345,\n    \"name\": \"Alice\",\n    \"email\": \"alice@example.com\"\n  },\n  \"meta\": {\n    \"requestId\": \"req_abc123\",\n    \"version\": \"v1\"\n  }\n}\n","json","",[77,78,73],"code",{"__ignoreMap":75},[11,80,81],{},[31,82,83],{},"Error response:",[69,85,88],{"className":86,"code":87,"language":74,"meta":75},[72],"{\n  \"success\": false,\n  \"error\": {\n    \"code\": \"USER_NOT_FOUND\",\n    \"message\": \"User with ID 12345 not found\",\n    \"details\": {\n      \"userId\": 12345\n    }\n  },\n  \"meta\": {\n    \"requestId\": \"req_xyz789\",\n    \"version\": \"v1\"\n  }\n}\n",[77,89,87],{"__ignoreMap":75},[11,91,92],{},"Benefits:",[15,94,95,102,116],{},[18,96,97,98,101],{},"The frontend only needs to check the ",[77,99,100],{},"success"," field to distinguish success vs. error.",[18,103,104,105,108,109,112,113,115],{},"Separating ",[77,106,107],{},"data"," and ",[77,110,111],{},"error"," avoids accessing non-existent ",[77,114,107],{}," on errors.",[18,117,118,121],{},[77,119,120],{},"meta"," can hold trace IDs, versions, etc., for logging and monitoring.",[56,123,125],{"id":124},"_12-list-endpoints-and-pagination-structure","1.2 List Endpoints and Pagination Structure",[11,127,128,129,131],{},"For list endpoints, use an array in ",[77,130,107],{}," with a consistent pagination structure:",[69,133,136],{"className":134,"code":135,"language":74,"meta":75},[72],"{\n  \"success\": true,\n  \"data\": [\n    { \"id\": 1, \"title\": \"JSON Guide\" },\n    { \"id\": 2, \"title\": \"API Design Tips\" }\n  ],\n  \"pagination\": {\n    \"page\": 1,\n    \"pageSize\": 20,\n    \"total\": 58,\n    \"totalPages\": 3\n  }\n}\n",[77,137,135],{"__ignoreMap":75},[11,139,140],{},"Or cursor-based pagination (better for large datasets):",[69,142,145],{"className":143,"code":144,"language":74,"meta":75},[72],"{\n  \"success\": true,\n  \"data\": [\n    { \"id\": 101, \"title\": \"...\" },\n    { \"id\": 102, \"title\": \"...\" }\n  ],\n  \"cursor\": {\n    \"next\": \"eyJpZCI6MTAyfQ==\",\n    \"prev\": \"eyJpZCI6MTAxfQ==\"\n  }\n}\n",[77,146,144],{"__ignoreMap":75},[11,148,149],{},"The frontend can then encapsulate unified list components and pagination logic.",[56,151,153],{"id":152},"_13-error-code-design-recommendations","1.3 Error Code Design Recommendations",[11,155,156,157,159],{},"In the ",[77,158,111],{}," object, include at least:",[15,161,162,175,181],{},[18,163,164,166,167,170,171,174],{},[77,165,77],{},": Machine-readable error code, e.g., ",[77,168,169],{},"USER_NOT_FOUND",", ",[77,172,173],{},"INVALID_JSON",".",[18,176,177,180],{},[77,178,179],{},"message",": Human-readable description, suitable for UI display.",[18,182,183,186],{},[77,184,185],{},"details"," (optional): Structured details for finer-grained handling or logging.",[11,188,189],{},"Avoid:",[15,191,192,199],{},[18,193,194,195,198],{},"Returning only a string: ",[77,196,197],{},"\"User not found\"",", making it hard for the frontend to distinguish error types.",[18,200,201],{},"Exposing full stack traces to the client (security risk).",[48,203],{},[51,205,207],{"id":206},"_2-field-naming-and-type-conventions","2. Field Naming and Type Conventions",[56,209,211],{"id":210},"_21-naming-style-camelcase-vs-snake_case","2.1 Naming Style: camelCase vs snake_case",[11,213,214],{},"Two common naming styles in JSON:",[15,216,217,226],{},[18,218,219,220,170,223],{},"camelCase: ",[77,221,222],{},"userId",[77,224,225],{},"createdAt",[18,227,228,229,170,232],{},"snake_case: ",[77,230,231],{},"user_id",[77,233,234],{},"created_at",[11,236,237],{},"Recommendations:",[15,239,240,246,249],{},[18,241,242,245],{},[31,243,244],{},"Standardize on one style"," within a project and team.",[18,247,248],{},"If your frontend is primarily JavaScript\u002FTypeScript, camelCase is usually more natural.",[18,250,251],{},"If your backend heavily uses frameworks that default to snake_case (e.g., Django), normalize at the serialization layer.",[11,253,254,255,258],{},"The key is: ",[31,256,257],{},"keep public APIs consistent",", avoid mixing styles within the same endpoint.",[56,260,262],{"id":261},"_22-dates-and-times-use-iso-8601-consistently","2.2 Dates and Times: Use ISO 8601 Consistently",[11,264,265],{},"Recommend using ISO 8601 strings for all date\u002Ftime fields:",[69,267,270],{"className":268,"code":269,"language":74,"meta":75},[72],"{\n  \"createdAt\": \"2026-08-25T08:00:00Z\",\n  \"updatedAt\": \"2026-08-25T08:30:00+08:00\"\n}\n",[77,271,269],{"__ignoreMap":75},[11,273,92],{},[15,275,276,279],{},[18,277,278],{},"Language-agnostic, with mature parsing libraries in almost every language.",[18,280,281],{},"Explicit timezone information avoids \"local time vs UTC\" ambiguity.",[11,283,189],{},[15,285,286,293],{},[18,287,288,289,292],{},"Using numeric timestamps (",[77,290,291],{},"1724572800",") without specifying units (seconds\u002Fmilliseconds).",[18,294,295,296,299],{},"Using custom formats (",[77,297,298],{},"\"2026\u002F08\u002F25 08:00\"","), increasing frontend parsing overhead.",[56,301,303],{"id":302},"_23-using-null-empty-objects-and-empty-arrays","2.3 Using null, Empty Objects, and Empty Arrays",[11,305,237],{},[15,307,308,321,330],{},[18,309,310,311,314,315],{},"For \"missing\" scalar fields, use ",[77,312,313],{},"null",":\n",[69,316,319],{"className":317,"code":318,"language":74,"meta":75},[72],"{\n  \"phone\": null\n}\n",[77,320,318],{"__ignoreMap":75},[18,322,323,324],{},"For \"empty lists\", use empty arrays:\n",[69,325,328],{"className":326,"code":327,"language":74,"meta":75},[72],"{\n  \"orders\": []\n}\n",[77,329,327],{"__ignoreMap":75},[18,331,332,333,355,356,359],{},"For \"missing objects\", two common strategies:\n",[15,334,335,346],{},[18,336,337,338,314,340],{},"Return ",[77,339,313],{},[69,341,344],{"className":342,"code":343,"language":74,"meta":75},[72],"{\n  \"profile\": null\n}\n",[77,345,343],{"__ignoreMap":75},[18,347,348,349],{},"Return an empty object:\n",[69,350,353],{"className":351,"code":352,"language":74,"meta":75},[72],"{\n  \"profile\": {}\n}\n",[77,354,352],{"__ignoreMap":75},"\nThe key is: ",[31,357,358],{},"standardize on one strategy"," within the project and document it.",[11,361,189],{},[15,363,364],{},[18,365,366,367,369],{},"Sometimes returning ",[77,368,313],{},", sometimes omitting the field entirely, forcing the frontend to handle multiple cases.",[48,371],{},[51,373,375],{"id":374},"_3-performance-related-practices","3. Performance-Related Practices",[56,377,379],{"id":378},"_31-return-only-necessary-fields","3.1 Return Only Necessary Fields",[11,381,382],{},"Return only the fields the frontend actually needs, instead of dumping entire tables:",[69,384,387],{"className":385,"code":386,"language":74,"meta":75},[72],"\u002F\u002F Avoid\n{\n  \"id\": 1,\n  \"name\": \"Alice\",\n  \"email\": \"alice@example.com\",\n  \"passwordHash\": \"...\",\n  \"internalFlags\": { ... },\n  \"createdAt\": \"...\",\n  \"updatedAt\": \"...\",\n  \"extraMeta\": { ... }\n}\n\n\u002F\u002F Recommended\n{\n  \"id\": 1,\n  \"name\": \"Alice\",\n  \"email\": \"alice@example.com\"\n}\n",[77,388,386],{"__ignoreMap":75},[11,390,92],{},[15,392,393,396],{},[18,394,395],{},"Reduces payload size and improves response time.",[18,397,398],{},"Lowers the risk of leaking sensitive information.",[11,400,401],{},"Implementation:",[15,403,404,407],{},[18,405,406],{},"Use DTO\u002FVO (Data Transfer Object \u002F View Object) layers on the backend to expose only necessary fields.",[18,408,409,410,413],{},"For complex objects, support a ",[77,411,412],{},"fields"," query parameter to let the frontend select fields (suitable for open APIs).",[56,415,417],{"id":416},"_32-large-lists-pagination-and-streaming","3.2 Large Lists: Pagination and Streaming",[11,419,420],{},"For potentially large lists:",[15,422,423,426],{},[18,424,425],{},"Always use pagination (page-based or cursor-based).",[18,427,428],{},"Avoid returning tens of thousands of records in one response.",[11,430,431],{},"Backend:",[15,433,434,441],{},[18,435,436,437,440],{},"Use database pagination (",[77,438,439],{},"LIMIT\u002FOFFSET"," or cursors).",[18,442,443],{},"For very large export endpoints, consider async jobs + file download instead of synchronous large JSON responses.",[11,445,446],{},"Frontend:",[15,448,449,452],{},[18,450,451],{},"Use virtual lists \u002F lazy loading to avoid rendering huge DOM trees at once.",[18,453,454],{},"For very large JSON, avoid heavy computation on the main thread; consider Web Workers.",[56,456,458],{"id":457},"_33-reduce-nesting-depth-and-redundancy","3.3 Reduce Nesting Depth and Redundancy",[11,460,461],{},"Excessive nesting and redundant fields increase parsing cost:",[69,463,466],{"className":464,"code":465,"language":74,"meta":75},[72],"\u002F\u002F Avoid: deep nesting + redundancy\n{\n  \"data\": {\n    \"user\": {\n      \"profile\": {\n        \"info\": {\n          \"name\": \"Alice\",\n          \"extra\": {\n            \"unusedField\": \"...\"\n          }\n        }\n      }\n    }\n  }\n}\n\n\u002F\u002F Recommended: flatter, only necessary structure\n{\n  \"data\": {\n    \"userId\": 1,\n    \"name\": \"Alice\"\n  }\n}\n",[77,467,465],{"__ignoreMap":75},[11,469,237],{},[15,471,472,475],{},[18,473,474],{},"Keep nesting depth around 3–5 levels.",[18,476,477],{},"Periodically review endpoint responses and remove unused fields.",[48,479],{},[51,481,483],{"id":482},"_4-security-related-practices","4. Security-Related Practices",[56,485,487],{"id":486},"_41-avoid-exposing-sensitive-information-in-json","4.1 Avoid Exposing Sensitive Information in JSON",[11,489,490],{},"Common but dangerous practices:",[15,492,493],{},[18,494,495,496],{},"Returning in responses:\n",[15,497,498,501,504,507],{},[18,499,500],{},"Passwords or password hashes",[18,502,503],{},"Internal keys, tokens",[18,505,506],{},"Full stack traces",[18,508,509],{},"Internal IDs, internal service URLs",[11,511,512],{},"Example (wrong):",[69,514,517],{"className":515,"code":516,"language":74,"meta":75},[72],"{\n  \"user\": {\n    \"id\": 1,\n    \"name\": \"Alice\",\n    \"passwordHash\": \"$2b$10$...\",\n    \"internalToken\": \"sk_live_...\"\n  }\n}\n",[77,518,516],{"__ignoreMap":75},[11,520,237],{},[15,522,523,526],{},[18,524,525],{},"Use dedicated \"public view\" objects that include only exposable fields.",[18,527,528,529,174],{},"For error responses, use generic messages; do not expose stack traces or internal details in ",[77,530,179],{},[56,532,534],{"id":533},"_42-validate-user-input-before-parsing","4.2 Validate User Input Before Parsing",[11,536,537],{},"For JSON data from users or third parties:",[15,539,540,543,546],{},[18,541,542],{},"Apply length limits (e.g., max 1MB).",[18,544,545],{},"Perform basic character validation (e.g., printable UTF-8 only).",[18,547,548,549,552,553,174],{},"Wrap ",[77,550,551],{},"JSON.parse"," in ",[77,554,555],{},"try...catch",[11,557,558],{},"Node.js example:",[69,560,565],{"className":561,"code":563,"language":564,"meta":75},[562],"language-js","function safeParseJson(text, maxSize = 1024 * 1024) {\n  if (typeof text !== 'string') {\n    throw new Error('Input must be a string');\n  }\n  if (text.length > maxSize) {\n    throw new Error('JSON too large');\n  }\n  try {\n    return JSON.parse(text);\n  } catch (e) {\n    throw new Error('Invalid JSON: ' + e.message);\n  }\n}\n","js",[77,566,563],{"__ignoreMap":75},[11,568,569],{},"For critical business data, further validate structure using JSON Schema \u002F Zod \u002F Joi.",[56,571,573],{"id":572},"_43-sanitize-sensitive-fields-in-logs","4.3 Sanitize Sensitive Fields in Logs",[11,575,576],{},"When logging request\u002Fresponse JSON on the server:",[15,578,579],{},[18,580,581,582],{},"Sanitize sensitive fields:\n",[15,583,584,593,601],{},[18,585,586,589,590],{},[77,587,588],{},"email",": ",[77,591,592],{},"ali***@example.com",[18,594,595,589,598],{},[77,596,597],{},"phone",[77,599,600],{},"138****1234",[18,602,603,606,607,610,611,174],{},[77,604,605],{},"token"," \u002F ",[77,608,609],{},"password",": either omit or log as ",[77,612,613],{},"***",[11,615,189],{},[15,617,618],{},[18,619,620],{},"Writing complete requests\u002Fresponses to logs as-is, especially when they contain authentication or payment information.",[48,622],{},[51,624,626],{"id":625},"_5-integrating-with-typescript-json-schema","5. Integrating with TypeScript \u002F JSON Schema",[56,628,630],{"id":629},"_51-define-api-types-with-typescript","5.1 Define API Types with TypeScript",[11,632,633],{},"In TypeScript projects, define explicit types for each endpoint:",[69,635,640],{"className":636,"code":638,"language":639,"meta":75},[637],"language-ts","interface GetUserResponse {\n  success: true;\n  data: {\n    id: number;\n    name: string;\n    email: string;\n  };\n  meta: {\n    requestId: string;\n    version: string;\n  };\n}\n\ninterface ApiError {\n  success: false;\n  error: {\n    code: string;\n    message: string;\n    details?: Record\u003Cstring, any>;\n  };\n  meta: {\n    requestId: string;\n    version: string;\n  };\n}\n\ntype GetUserResult = GetUserResponse | ApiError;\n","ts",[77,641,638],{"__ignoreMap":75},[11,643,92],{},[15,645,646,649],{},[18,647,648],{},"The compiler catches field name errors and type mismatches early.",[18,650,651],{},"Autocomplete improves developer productivity.",[56,653,655],{"id":654},"_52-use-json-schema-for-runtime-validation","5.2 Use JSON Schema for Runtime Validation",[11,657,658],{},"For third-party data or critical endpoints, define structure with JSON Schema and validate at runtime:",[69,660,663],{"className":661,"code":662,"language":74,"meta":75},[72],"{\n  \"$schema\": \"http:\u002F\u002Fjson-schema.org\u002Fdraft-07\u002Fschema#\",\n  \"type\": \"object\",\n  \"required\": [\"success\", \"data\", \"meta\"],\n  \"properties\": {\n    \"success\": { \"type\": \"boolean\" },\n    \"data\": { \"type\": \"object\" },\n    \"meta\": {\n      \"type\": \"object\",\n      \"required\": [\"requestId\", \"version\"],\n      \"properties\": {\n        \"requestId\": { \"type\": \"string\" },\n        \"version\": { \"type\": \"string\" }\n      }\n    }\n  }\n}\n",[77,664,662],{"__ignoreMap":75},[11,666,667],{},"With a validation library, you can intercept non-conforming responses at runtime and surface issues early.",[48,669],{},[51,671,673],{"id":672},"_6-json-in-configuration-and-logs","6. JSON in Configuration and Logs",[56,675,677],{"id":676},"_61-configuration-files-strict-json-or-jsonc","6.1 Configuration Files: Strict JSON or JSONC",[11,679,680,681,684],{},"For configuration files (e.g., ",[77,682,683],{},"config.json","):",[15,686,687,690],{},[18,688,689],{},"Prefer strict JSON, avoiding comments and trailing commas.",[18,691,692],{},"If comments are truly needed, use JSONC (JSON with comments), but ensure your parser supports it.",[11,694,189],{},[15,696,697],{},[18,698,699],{},"Mixing single quotes, comments, and trailing commas in configs, leading to inconsistent parsing across environments.",[56,701,703],{"id":702},"_62-field-conventions-for-structured-logs","6.2 Field Conventions for Structured Logs",[11,705,706],{},"For structured JSON logs, standardize field conventions, e.g.:",[69,708,711],{"className":709,"code":710,"language":74,"meta":75},[72],"{\n  \"timestamp\": \"2026-08-25T08:00:00Z\",\n  \"level\": \"info\",\n  \"service\": \"user-api\",\n  \"traceId\": \"req_abc123\",\n  \"userId\": 12345,\n  \"action\": \"get_user\",\n  \"status\": \"success\",\n  \"durationMs\": 42\n}\n",[77,712,710],{"__ignoreMap":75},[11,714,92],{},[15,716,717,720],{},[18,718,719],{},"Easier to query and aggregate in ELK \u002F Cloudflare Logs and similar systems.",[18,721,722],{},"Unified fields simplify alerts and dashboards.",[48,724],{},[51,726,728],{"id":727},"_7-common-anti-patterns","7. Common Anti-Patterns",[56,730,732],{"id":731},"_71-embedding-html-rich-text-in-json-without-clarification","7.1 Embedding HTML \u002F Rich Text in JSON Without Clarification",[11,734,735],{},"For example:",[69,737,740],{"className":738,"code":739,"language":74,"meta":75},[72],"{\n  \"content\": \"\u003Cp>Hello \u003Cstrong>world\u003C\u002Fstrong>\u003C\u002Fp>\"\n}\n",[77,741,739],{"__ignoreMap":75},[11,743,744],{},"Issues:",[15,746,747,750],{},[18,748,749],{},"If the frontend doesn't know this is HTML, it may render it as plain text.",[18,751,752],{},"XSS risk if inserted into the DOM without proper escaping\u002Ffiltering.",[11,754,237],{},[15,756,757,766],{},[18,758,759,760,170,763,174],{},"Use explicit field names like ",[77,761,762],{},"contentHtml",[77,764,765],{},"contentMarkdown",[18,767,768],{},"Frontend should decide whether to render as HTML based on the field name and apply proper escaping\u002Ffiltering.",[56,770,772],{"id":771},"_72-using-json-to-transfer-large-binaries","7.2 Using JSON to Transfer Large Binaries",[11,774,735],{},[15,776,777],{},[18,778,779],{},"Base64-encoding images or files and putting them in JSON fields.",[11,781,744],{},[15,783,784,787],{},[18,785,786],{},"Size bloat (base64 increases size by ~33%).",[18,788,789],{},"High parsing and transmission cost.",[11,791,237],{},[15,793,794,797],{},[18,795,796],{},"Use dedicated file upload endpoints and return file URLs or IDs.",[18,798,799],{},"Keep only metadata (URL, size, type) in JSON.",[56,801,803],{"id":802},"_73-returning-half-json-half-text-mixed-content","7.3 Returning \"Half JSON, Half Text\" Mixed Content",[11,805,735],{},[69,807,812],{"className":808,"code":810,"language":811,"meta":75},[809],"language-text","{\"success\":true}\n\u003C!-- debug info -->\n","text",[77,813,810],{"__ignoreMap":75},[11,815,744],{},[15,817,818,821],{},[18,819,820],{},"Cannot be parsed with standard JSON parsers.",[18,822,823],{},"May \"look fine\" during debugging but fail in production.",[11,825,237],{},[15,827,828,831],{},[18,829,830],{},"Use either pure JSON or pure HTML\u002Ftext, not mixed.",[18,832,833],{},"Output debug info via dedicated headers or logging systems, not appended to the response body.",[48,835],{},[51,837,839],{"id":838},"_8-checklist","8. Checklist",[56,841,843],{"id":842},"during-api-design","During API Design",[15,845,848,858,864,870,876],{"className":846},[847],"contains-task-list",[18,849,852,857],{"className":850},[851],"task-list-item",[853,854],"input",{"disabled":855,"type":856},true,"checkbox"," Are success\u002Ferror response structures standardized?",[18,859,861,863],{"className":860},[851],[853,862],{"disabled":855,"type":856}," Is there a unified error code convention?",[18,865,867,869],{"className":866},[851],[853,868],{"disabled":855,"type":856}," Are dates\u002Ftimes consistently using ISO 8601?",[18,871,873,875],{"className":872},[851],[853,874],{"disabled":855,"type":856}," Is field naming style (camelCase \u002F snake_case) consistent?",[18,877,879,881],{"className":878},[851],[853,880],{"disabled":855,"type":856}," Are sensitive fields avoided in responses?",[56,883,885],{"id":884},"during-frontend-parsing","During Frontend Parsing",[15,887,889,899,911,917],{"className":888},[847],[18,890,892,894,895,898],{"className":891},[851],[853,893],{"disabled":855,"type":856}," Do you check status code and ",[77,896,897],{},"Content-Type"," before parsing?",[18,900,902,904,905,907,908,910],{"className":901},[851],[853,903],{"disabled":855,"type":856}," Are all ",[77,906,551],{}," calls wrapped in ",[77,909,555],{},"?",[18,912,914,916],{"className":913},[851],[853,915],{"disabled":855,"type":856}," Is pagination\u002Flazy loading used for large JSON?",[18,918,920,922],{"className":919},[851],[853,921],{"disabled":855,"type":856}," Are third-party\u002Fuser inputs validated for length and structure?",[56,924,926],{"id":925},"logging-and-security","Logging and Security",[15,928,930,936,942],{"className":929},[847],[18,931,933,935],{"className":932},[851],[853,934],{"disabled":855,"type":856}," Are sensitive fields sanitized in logs?",[18,937,939,941],{"className":938},[851],[853,940],{"disabled":855,"type":856}," Are stack traces avoided in error responses?",[18,943,945,947],{"className":944},[851],[853,946],{"disabled":855,"type":856}," Are config files using strict JSON or controlled JSONC?",[48,949],{},[51,951,953],{"id":952},"summary","Summary",[15,955,956,959,962,965],{},[18,957,958],{},"In frontend–backend projects, \"using JSON well\" is not just about correct syntax; it's about API design, performance, and security.",[18,960,961],{},"Standardizing response structures, field conventions, and error codes significantly reduces frontend–backend collaboration costs.",[18,963,964],{},"Through field minimization, pagination, and streaming, you can effectively optimize performance issues caused by large JSON.",[18,966,967],{},"On the security side, avoiding sensitive data exposure, validating input, and sanitizing logs are basic but often overlooked practices.",[36,969,970],{},[11,971,972,973,975],{},"When designing and debugging APIs, you can paste example JSON into the ",[42,974,45],{"href":44}," to adjust structures while instantly checking format and validity, helping your team reach consensus faster.",{"title":75,"searchDepth":977,"depth":977,"links":978},2,[979,985,990,995,1000,1004,1008,1013,1018],{"id":53,"depth":977,"text":54,"children":980},[981,983,984],{"id":58,"depth":982,"text":59},3,{"id":124,"depth":982,"text":125},{"id":152,"depth":982,"text":153},{"id":206,"depth":977,"text":207,"children":986},[987,988,989],{"id":210,"depth":982,"text":211},{"id":261,"depth":982,"text":262},{"id":302,"depth":982,"text":303},{"id":374,"depth":977,"text":375,"children":991},[992,993,994],{"id":378,"depth":982,"text":379},{"id":416,"depth":982,"text":417},{"id":457,"depth":982,"text":458},{"id":482,"depth":977,"text":483,"children":996},[997,998,999],{"id":486,"depth":982,"text":487},{"id":533,"depth":982,"text":534},{"id":572,"depth":982,"text":573},{"id":625,"depth":977,"text":626,"children":1001},[1002,1003],{"id":629,"depth":982,"text":630},{"id":654,"depth":982,"text":655},{"id":672,"depth":977,"text":673,"children":1005},[1006,1007],{"id":676,"depth":982,"text":677},{"id":702,"depth":982,"text":703},{"id":727,"depth":977,"text":728,"children":1009},[1010,1011,1012],{"id":731,"depth":982,"text":732},{"id":771,"depth":982,"text":772},{"id":802,"depth":982,"text":803},{"id":838,"depth":977,"text":839,"children":1014},[1015,1016,1017],{"id":842,"depth":982,"text":843},{"id":884,"depth":982,"text":885},{"id":925,"depth":982,"text":926},{"id":952,"depth":977,"text":953},"json_tools","2026-08-25T00:00:00.000Z","A practical guide to using JSON in real projects, covering API design patterns, performance tips, security considerations, and common anti-patterns.",false,"md",null,"\u002Fblog\u002Fcover\u002Fen\u002Fjson-best-practices-cover.svg",[1027,1028],"en","zh-CN",{},"\u002Fen\u002Fblog\u002Fjson-best-practices",{"slug":1032,"text":1033,"btn":1034},"json-editor","🚀 Need to batch format or check JSON?","Open JSON Editor",{"title":5,"description":1021},"en\u002Fblog\u002Fjson-best-practices",[1038,45,1039,1040,1041],"JSON","API Design","Performance","Security","4bj8Q4T0OzJdG1mYSeLcjgIfpw6Fy7H3lLBPm_Z4iZA",[1044,1047],{"path":1045,"title":1046},"\u002Fzh\u002Fblog\u002Fjson-validation-syntax-vs-schema","JSON 校验详解：语法校验、JSON Schema 与业务规则的区别",{"path":1048,"title":1049},"\u002Fzh\u002Fblog\u002Fjson-best-practices","前后端项目中 JSON 的最佳实践：接口设计、性能与安全",1791273861921]