{"id":197,"date":"2026-10-04T05:27:20","date_gmt":"2026-10-04T05:27:20","guid":{"rendered":"https:\/\/easyextract.online\/blog\/how-to-convert-bson-to-json-and-csv\/"},"modified":"2026-10-07T17:02:35","modified_gmt":"2026-10-07T17:02:35","slug":"how-to-convert-bson-to-json-and-csv","status":"publish","type":"post","link":"https:\/\/easyextract.online\/blog\/how-to-convert-bson-to-json-and-csv\/","title":{"rendered":"How to Convert BSON Files to JSON and CSV: MongoDB Dump Guide"},"content":{"rendered":"<p><strong>To convert binary BSON files and MongoDB dumps into human-readable JSON arrays or CSV spreadsheets without installing MongoDB, parse the binary stream client-side, decode the 4-byte document length headers and type tags into Extended JSON objects, flatten nested subdocuments into dot-notation columns, and serialize the tabular matrix directly within browser memory.<\/strong><\/p>\n<p>Binary JSON (<code>.bson<\/code>) is the binary-encoded serialization format powering MongoDB. When administrators execute database backups using the standard <code>mongodump<\/code> command-line utility, collections export as binary <code>.bson<\/code> archives alongside <code>.metadata.json<\/code> index files. Because BSON stores data as compact machine-readable byte sequences rather than text, opening a <code>.bson<\/code> file in standard text editors displays garbled control characters and unreadable sequences.<\/p>\n<p>Converting these binary archives into standard RFC 8259 JSON arrays or RFC 4180 CSV tables is essential for database migrations, spreadsheet analysis in Excel, business intelligence reporting in Tableau, and data warehousing in Snowflake or PostgreSQL without maintaining an active database daemon.<\/p>\n<h2>Key Definitions: Binary JSON (BSON v1.1), ObjectId (12-Byte Hex), UTC Datetime, Int64 \/ Long, mongodump, and RFC 8259 JSON<\/h2>\n<p>Understanding binary document parsing requires familiarity with core data types and serialization standards:<\/p>\n<ul>\n<li><strong>Binary JSON (BSON v1.1):<\/strong> A binary serialization format defined at <a href=\"http:\/\/bsonspec.org\" target=\"_blank\" rel=\"noopener\">bsonspec.org<\/a>. BSON structures documents as ordered byte streams featuring a 4-byte total length prefix, 1-byte type markers, null-terminated field names, and length-prefixed values terminated by a final <code>0x00<\/code> byte.<\/li>\n<li><strong>ObjectId (12-Byte Hex):<\/strong> A 96-bit unique identifier used as MongoDB&#8217;s primary key (<code>_id<\/code>). It packs a 4-byte Unix timestamp, a 5-byte random value, and a 3-byte incrementing counter, displayed as a 24-character hex string (e.g. <code>507f1f77bcf86cd799439011<\/code>).<\/li>\n<li><strong>UTC Datetime (BSON Type <code>0x09<\/code>):<\/strong> A signed 64-bit integer representing milliseconds since the Unix epoch (1 January 1970 00:00:00 UTC).<\/li>\n<li><strong>Int64 \/ Long (BSON Type <code>0x12<\/code>):<\/strong> A signed 64-bit two&#8217;s complement integer, avoiding numeric precision loss present in standard JavaScript 64-bit floats beyond $2^{53} &#8211; 1$.<\/li>\n<li><strong>mongodump:<\/strong> The official MongoDB backup utility that extracts database collections as raw, unmodified binary BSON streams and index metadata.<\/li>\n<li><strong>RFC 8259 JSON:<\/strong> The IETF text interchange standard supporting basic types (strings, numbers, booleans, null, arrays, objects), lacking native date or binary primitives.<\/li>\n<\/ul>\n<h2>Why MongoDB Uses BSON Instead of Standard JSON: Traversal Speed, Type Preservation, and Indexing Overhead<\/h2>\n<p>MongoDB uses BSON instead of plain JSON across its storage engine and network protocols due to three core architectural advantages:<\/p>\n<ol>\n<li><strong>Fast $O(1)$ Seeking:<\/strong> Every BSON element and document begins with a 4-byte integer indicating its byte size. Parsers skip unneeded subdocuments or binary arrays instantly by advancing the byte offset, eliminating character-by-character lexical scanning.<\/li>\n<li><strong>Rich Type Preservation:<\/strong> Standard JSON represents all numbers identically and lacks native date, binary, or high-precision decimal primitives. BSON provides explicit byte tags for over 20 types, including Decimal128, UUIDs, raw byte buffers, and UTC timestamps.<\/li>\n<li><strong>On-Disk Indexing Efficiency:<\/strong> Null-terminated field names and fixed-width binary fields allow the WiredTiger engine to build compact B-tree indexes and perform direct buffer reads without CPU-intensive string conversions.<\/li>\n<\/ol>\n<h2>Step-by-Step: How to Decode BSON Files to JSON and CSV in Your Browser<\/h2>\n<p>Convert binary BSON collections and MongoDB dumps into JSON arrays or CSV tables locally using EasyExtract&#8217;s <a href=\"https:\/\/easyextract.online\/bson-extractor\/\">in-browser BSON to JSON and CSV converter<\/a>:<\/p>\n<ol class=\"steps\">\n<li><strong>Provide Your BSON File:<\/strong> Drag and drop your <code>.bson<\/code> file or collection dump into the upload zone, or paste hexadecimal byte strings.<\/li>\n<li><strong>Client-Side Binary Stream Decoding:<\/strong> The browser reads the binary buffer via <code>DataView<\/code>, verifying the 4-byte little-endian length header and parsing BSON type markers sequentially.<\/li>\n<li><strong>Extended JSON Normalisation:<\/strong> BSON types\u2014including 12-byte ObjectIds, 64-bit integers, and UTC datetimes\u2014are converted into human-readable Extended JSON representations.<\/li>\n<li><strong>Schema Union and Recursive Flattening:<\/strong> The engine scans all documents to build a master union schema, flattening nested child objects into dot-notation column paths (e.g. <code>user.address.city<\/code>).<\/li>\n<li><strong>Export and Download:<\/strong> Download an RFC 4180 compliant <code>.csv<\/code> spreadsheet with UTF-8 BOM encoding for Excel, or export a formatted <code>.json<\/code> array.<\/li>\n<\/ol>\n<h2>Inspecting mongodump Archive Collections and System Metadata Files<\/h2>\n<p>Executing a database backup with <code>mongodump --out=\/backups\/<\/code> generates a structured output directory:<\/p>\n<pre><code>\/backups\/production_db\/\n\u251c\u2500\u2500 customers.bson\n\u251c\u2500\u2500 customers.metadata.json\n\u251c\u2500\u2500 transactions.bson\n\u2514\u2500\u2500 transactions.metadata.json<\/code><\/pre>\n<p>Each pair serves a distinct architectural purpose:<\/p>\n<ul>\n<li><strong>The <code>.bson<\/code> Collection File:<\/strong> Stores sequential, concatenated binary documents. The parser reads the 4-byte length prefix of document $N$, extracts that byte slice, confirms the trailing <code>0x00<\/code> byte, and immediately parses document $N+1$.<\/li>\n<li><strong>The <code>.metadata.json<\/code> File:<\/strong> A plain RFC 8259 JSON file containing collection UUIDs, collation settings, and index specifications (unique constraints, compound keys, and TTL indexes) required to restore indexes.<\/li>\n<li><strong>Compressed Archives (<code>--archive<\/code> \/ <code>--gzip<\/code>):<\/strong> If <code>mongodump<\/code> outputs a single archive file, decompress the gzip stream using standard archive tools to extract individual <code>.bson<\/code> collection files for browser conversion.<\/li>\n<\/ul>\n<h2>Handling Complex BSON Data Types: Converting ObjectIds, Timestamps, Binary Buffers, and Subdocuments<\/h2>\n<p>Converting BSON to JSON and CSV requires mapping binary data types using MongoDB Extended JSON rules (Relaxed vs Canonical mode):<\/p>\n<table>\n<thead>\n<tr>\n<th>BSON Type<\/th>\n<th>Hex Code<\/th>\n<th>Canonical Extended JSON<\/th>\n<th>Relaxed Extended JSON<\/th>\n<th>Flattened CSV Output<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>ObjectId<\/strong><\/td>\n<td><code>0x07<\/code><\/td>\n<td><code>{\"$oid\": \"507f1f77bcf86cd799439011\"}<\/code><\/td>\n<td><code>\"507f1f77bcf86cd799439011\"<\/code><\/td>\n<td><code>507f1f77bcf86cd799439011<\/code><\/td>\n<\/tr>\n<tr>\n<td><strong>UTC Datetime<\/strong><\/td>\n<td><code>0x09<\/code><\/td>\n<td><code>{\"$date\": {\"$numberLong\": \"1791115200000\"}}<\/code><\/td>\n<td><code>\"2026-10-04T12:00:00.000Z\"<\/code><\/td>\n<td><code>2026-10-04T12:00:00.000Z<\/code><\/td>\n<\/tr>\n<tr>\n<td><strong>Int64 \/ Long<\/strong><\/td>\n<td><code>0x12<\/code><\/td>\n<td><code>{\"$numberLong\": \"9223372036854775807\"}<\/code><\/td>\n<td><code>9223372036854775807<\/code><\/td>\n<td><code>9223372036854775807<\/code><\/td>\n<\/tr>\n<tr>\n<td><strong>Binary \/ UUID<\/strong><\/td>\n<td><code>0x05<\/code><\/td>\n<td><code>{\"$binary\": {\"base64\": \"...\", \"subType\": \"04\"}}<\/code><\/td>\n<td><code>\"c3ab5d4e-12fa-4891-b3b1-5e6e87f54c12\"<\/code><\/td>\n<td><code>c3ab5d4e-12fa-4891-b3b1-5e6e87f54c12<\/code><\/td>\n<\/tr>\n<tr>\n<td><strong>Decimal128<\/strong><\/td>\n<td><code>0x13<\/code><\/td>\n<td><code>{\"$numberDecimal\": \"1299.99\"}<\/code><\/td>\n<td><code>\"1299.99\"<\/code><\/td>\n<td><code>1299.99<\/code><\/td>\n<\/tr>\n<tr>\n<td><strong>Subdocument<\/strong><\/td>\n<td><code>0x03<\/code><\/td>\n<td><code>{\"city\": \"London\", \"postcode\": \"SW1A\"}<\/code><\/td>\n<td><code>{\"city\": \"London\", \"postcode\": \"SW1A\"}<\/code><\/td>\n<td><code>address.city<\/code>, <code>address.postcode<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>When working with streaming datasets or API logs, you can also <a href=\"https:\/\/easyextract.online\/ndjson-extractor\/\">extract line-delimited NDJSON files<\/a> or use our specialized tools to <a href=\"https:\/\/easyextract.online\/json-table-extractor\/\">convert JSON to tabular CSV<\/a> formats.<\/p>\n<h2>BSON vs JSON vs Protobuf vs Avro: Serialization Format Comparison Table<\/h2>\n<p>The following table compares BSON against mainstream data interchange formats:<\/p>\n<table>\n<thead>\n<tr>\n<th>Feature<\/th>\n<th>BSON (v1.1)<\/th>\n<th>JSON (RFC 8259)<\/th>\n<th>Protocol Buffers (v3)<\/th>\n<th>Apache Avro<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Format Encoding<\/strong><\/td>\n<td>Binary length-prefixed<\/td>\n<td>UTF-8 text<\/td>\n<td>Packed binary varints<\/td>\n<td>Binary with sync blocks<\/td>\n<\/tr>\n<tr>\n<td><strong>Schema Nature<\/strong><\/td>\n<td>Self-describing dynamic<\/td>\n<td>Self-describing dynamic<\/td>\n<td>Strict external <code>.proto<\/code><\/td>\n<td>External JSON schema<\/td>\n<\/tr>\n<tr>\n<td><strong>Type Breadth<\/strong><\/td>\n<td>Rich (Dates, Int64, Decimal, UUID)<\/td>\n<td>Basic (String, Num, Bool, Null)<\/td>\n<td>Rich static typing<\/td>\n<td>Rich schema typing<\/td>\n<\/tr>\n<tr>\n<td><strong>Human Readable<\/strong><\/td>\n<td>No (Binary)<\/td>\n<td>Yes (Text)<\/td>\n<td>No (Binary)<\/td>\n<td>No (Binary)<\/td>\n<\/tr>\n<tr>\n<td><strong>Seeking \/ Skipping<\/strong><\/td>\n<td>Fast ($O(1)$ byte jump)<\/td>\n<td>Slow (Sequential scan)<\/td>\n<td>No (Sequential parse)<\/td>\n<td>Moderate (Block-level)<\/td>\n<\/tr>\n<tr>\n<td><strong>Field Overhead<\/strong><\/td>\n<td>Moderate (Field names stored)<\/td>\n<td>High (Repeated text keys)<\/td>\n<td>None (Integer field tags)<\/td>\n<td>None (Values only)<\/td>\n<\/tr>\n<tr>\n<td><strong>Primary Use Case<\/strong><\/td>\n<td>MongoDB &#038; document databases<\/td>\n<td>Web APIs &#038; configs<\/td>\n<td>Microservices (gRPC)<\/td>\n<td>Kafka &#038; big data lakes<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Exporting BSON Data to CSV Tables for PostgreSQL, Snowflake, and Excel Analysis<\/h2>\n<p>Migrating non-relational BSON collections into relational databases or spreadsheets requires structured tabular flattening:<\/p>\n<h3>1. Dynamic Union Schema Discovery<\/h3>\n<p>Document databases allow dynamic schemas where records contain heterogeneous fields. A conversion parser scans the entire collection stream to compile a master union of all unique keys before exporting CSV columns, preventing data loss from omitted fields.<\/p>\n<h3>2. Dot-Notation Column Flattening<\/h3>\n<p>Nested child objects unwind into relational headers using period notation:<\/p>\n<pre><code>\/\/ Decoded BSON Document\n{\n  \"_id\": \"651a2b3c4d5e6f7a8b9c0d1e\",\n  \"client\": { \"name\": \"Sarah Jenkins\", \"email\": \"sarah@example.com\" },\n  \"balance\": \"450.00\"\n}\n\n\/\/ Flattened CSV Output\n_id,client.name,client.email,balance\n651a2b3c4d5e6f7a8b9c0d1e,Sarah Jenkins,sarah@example.com,450.00<\/code><\/pre>\n<h3>3. Relational SQL Type Mapping<\/h3>\n<p>Flattened CSV columns map cleanly to standard SQL types during warehouse ingestion: <code>_id<\/code> to <code>VARCHAR(24)<\/code> or <code>UUID<\/code>, UTC dates to <code>TIMESTAMPTZ<\/code>, Int64 to <code>BIGINT<\/code>, and Decimal128 to <code>NUMERIC(18, 4)<\/code>. Learn more in our guide on <a href=\"https:\/\/easyextract.online\/blog\/how-to-convert-json-to-csv-table\/\">how to convert JSON to CSV table<\/a>.<\/p>\n<h2>Troubleshooting Corrupt BSON Streams and Unexpected EOF Byte Offsets<\/h2>\n<p>When parsing raw BSON files, resolve these five frequent stream errors:<\/p>\n<ul>\n<li><strong>Unexpected EOF \/ Truncated File:<\/strong> Triggered when a backup process terminates prematurely. The document header requests 4,096 bytes, but the stream ends earlier. Parsers recover preceding valid records and report the exact failure offset.<\/li>\n<li><strong>Invalid Length Prefix ($< 5$ Bytes):<\/strong> The minimum valid BSON document size is 5 bytes (4 bytes for the int32 length header plus 1 trailing null byte). Values below 5 indicate corrupt stream alignment.<\/li>\n<li><strong>Missing Null Terminator:<\/strong> Every document must end with a <code>0x00<\/code> byte. A non-zero value at the document boundary signifies offset corruption.<\/li>\n<li><strong>Invalid C-String UTF-8 Encoding:<\/strong> BSON key names must be null-terminated UTF-8 strings. Corrupted memory buffers containing non-UTF8 bytes fail standard string decoders.<\/li>\n<li><strong>Gzip Compression Headers:<\/strong> Dumps created with <code>mongodump --gzip<\/code> begin with gzip magic numbers (<code>0x1F 0x8B<\/code>). Decompress files before BSON decoding.<\/li>\n<\/ul>\n<h2>Privacy &#038; Security: Why Sensitive Production Database Backups Must Never Be Uploaded to Remote Converters<\/h2>\n<p>Production database backups extracted via <code>mongodump<\/code> represent an organisation&#8217;s most sensitive digital assets. Raw collection archives regularly contain unmasked personal data (PII), payment tokens, hashed passwords, internal credentials, and confidential audit logs.<\/p>\n<p>Uploading database archives to cloud-based converter websites introduces severe data breach risks. Remote services may retain files in server logs, cache temporary storage, or expose records to unauthorized inspection. Furthermore, transmitting unencrypted personal data across third-party web backends violates GDPR Article 32, HIPAA, and SOC 2 compliance mandates.<\/p>\n<p>EasyExtract uses a <strong>100% private, client-side browser architecture<\/strong>. All binary decoding, schema flattening, and CSV generation execute locally in your browser&#8217;s JavaScript memory. Zero bytes of your database dump are transmitted across the network, guaranteeing total confidentiality.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<div class=\"faq\">\n<details>\n<summary>What is a BSON file and how does it relate to MongoDB?<\/summary>\n<p>A BSON file is a binary-encoded representation of JSON documents. It is the native on-disk and wire format used by MongoDB. When you create backups using MongoDB&#8217;s official <code>mongodump<\/code> utility, the database exports collections as raw <code>.bson<\/code> files.<\/p>\n<\/details>\n<details>\n<summary>Can I open and view a BSON file directly in a standard text editor?<\/summary>\n<p>No. BSON is a binary format containing raw byte values, binary length headers, and type codes. Opening a <code>.bson<\/code> file in Notepad, VS Code, or TextEdit displays unreadable control characters, garbled text, and broken sequences. It must first be decoded to JSON or CSV.<\/p>\n<\/details>\n<details>\n<summary>How do I convert a MongoDB BSON dump without installing MongoDB tools?<\/summary>\n<p>You can decode BSON files directly in your web browser using EasyExtract&#8217;s in-browser BSON extractor. The tool parses the binary stream locally in your browser&#8217;s JavaScript memory and exports clean JSON arrays or CSV tables without requiring <code>bsondump<\/code> or a MongoDB installation.<\/p>\n<\/details>\n<details>\n<summary>What is the difference between Relaxed and Canonical Extended JSON?<\/summary>\n<p>Canonical Extended JSON represents all BSON types losslessly using strict JSON objects (such as <code>{\"$numberLong\": \"100\"}<\/code> or <code>{\"$date\": {\"$numberLong\": \"1791115200000\"}}<\/code>). Relaxed Extended JSON converts these types into standard, human-readable JSON primitives (such as numeric values and ISO-8601 date strings) for easier reading and processing.<\/p>\n<\/details>\n<details>\n<summary>How are 12-byte ObjectIds represented when converting BSON to CSV?<\/summary>\n<p>In BSON, an ObjectId is stored as a 12-byte binary buffer. During conversion to CSV or relaxed JSON, the 12 bytes are converted into their standard 24-character hexadecimal string representation (e.g., <code>507f1f77bcf86cd799439011<\/code>), making it easy to store in relational text or UUID columns.<\/p>\n<\/details>\n<details>\n<summary>How does the converter handle nested subdocuments and arrays when exporting to CSV?<\/summary>\n<p>Nested subdocuments are flattened into relational dot-notation column headers (such as <code>customer.address.city<\/code>). Array fields are either serialized as formatted JSON strings within a single cell, joined with semicolons, or expanded into indexed columns depending on your chosen settings.<\/p>\n<\/details>\n<details>\n<summary>Is it safe to convert proprietary database backups using EasyExtract?<\/summary>\n<p>Yes. EasyExtract performs all binary decoding, type transformations, and file generations 100% locally inside your browser using client-side JavaScript. No database records, files, or sensitive credentials are ever sent to an external server or cloud backend.<\/p>\n<\/details>\n<\/div>\n<p><script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is a BSON file and how does it relate to MongoDB?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"A BSON file is a binary-encoded representation of JSON documents. 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No database records, files, or sensitive credentials are ever sent to an external server or cloud backend.\"\n      }\n    }\n  ]\n}\n<\/script><\/p>\n<h2>Related Tools and Reading<\/h2>\n<p>Explore related database conversion, structured data parsing, and table extraction tools on EasyExtract:<\/p>\n<ul>\n<li><a href=\"https:\/\/easyextract.online\/bson-extractor\/\">BSON Extractor<\/a> \u2013 Convert binary BSON files and MongoDB mongodump archives into clean JSON arrays and CSV tables in your browser.<\/li>\n<li><a href=\"https:\/\/easyextract.online\/json-table-extractor\/\">JSON Table Extractor<\/a> \u2013 Transform complex JSON payloads and API responses into structured, downloadable CSV spreadsheets.<\/li>\n<li><a href=\"https:\/\/easyextract.online\/ndjson-extractor\/\">NDJSON &#038; JSONL Extractor<\/a> \u2013 Extract, filter, and convert newline-delimited JSON log streams into flat tabular matrices.<\/li>\n<li><a href=\"https:\/\/easyextract.online\/sql-extractor\/\">SQL Extractor<\/a> \u2013 Extract table data, schema definitions, and column values from raw SQL database dumps without running a database server.<\/li>\n<li><a href=\"https:\/\/easyextract.online\/tsv-extractor\/\">TSV Extractor<\/a> \u2013 Parse and convert tab-separated values into standard CSV tables and JSON objects.<\/li>\n<li><a href=\"https:\/\/easyextract.online\/blog\/how-to-convert-json-to-csv-table\/\">How to Convert JSON to CSV Table (Guide)<\/a> \u2013 In-depth guide detailing schema normalization, dot-notation column flattening, and array handling algorithms.<\/li>\n<\/ul>\n<h2>Sources and References<\/h2>\n<p>This technical guide adheres to official database and serialization standards:<\/p>\n<ul>\n<li><strong>BSON Specification v1.1:<\/strong> <em>BSON \u2014 Binary JSON Specification<\/em>. The definitive specification for BSON data types, element tags, and document encoding rules. <a href=\"http:\/\/bsonspec.org\/spec.html\" target=\"_blank\" rel=\"noopener\">BSON Specification v1.1<\/a>.<\/li>\n<li><strong>MongoDB Documentation:<\/strong> <em>MongoDB Extended JSON Specification (v2.0)<\/em>. Official technical standard defining Canonical and Relaxed JSON representations for BSON types. <a href=\"https:\/\/www.mongodb.com\/docs\/manual\/reference\/mongodb-extended-json\/\" target=\"_blank\" rel=\"noopener\">MongoDB Extended JSON Reference<\/a>.<\/li>\n<li><strong>IETF RFC 8259:<\/strong> Bray, T. (Ed.). <em>The JavaScript Object Notation (JSON) Data Interchange Format<\/em>. Internet Engineering Task Force (IETF) Standard. <a href=\"https:\/\/tools.ietf.org\/html\/rfc8259\" target=\"_blank\" rel=\"noopener\">IETF RFC 8259 Standard<\/a>.<\/li>\n<li><strong>IETF RFC 4180:<\/strong> Shafranovich, Y. <em>Common Format and MIME Type for Comma-Separated Values (CSV) Files<\/em>. Internet Engineering Task Force (IETF) Standard. <a href=\"https:\/\/tools.ietf.org\/html\/rfc4180\" target=\"_blank\" rel=\"noopener\">IETF RFC 4180 Standard<\/a>.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>To convert binary BSON files and MongoDB dumps into human-readable JSON arrays or CSV spreadsheets without installing MongoDB, parse the binary stream client-side, decode the 4-byte document length headers and type tags into Extended\u2026<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"slim_seo":[],"footnotes":""},"categories":[1],"tags":[],"class_list":["post-197","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/easyextract.online\/blog\/wp-json\/wp\/v2\/posts\/197","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/easyextract.online\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/easyextract.online\/blog\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/easyextract.online\/blog\/wp-json\/wp\/v2\/comments?post=197"}],"version-history":[{"count":1,"href":"https:\/\/easyextract.online\/blog\/wp-json\/wp\/v2\/posts\/197\/revisions"}],"predecessor-version":[{"id":239,"href":"https:\/\/easyextract.online\/blog\/wp-json\/wp\/v2\/posts\/197\/revisions\/239"}],"wp:attachment":[{"href":"https:\/\/easyextract.online\/blog\/wp-json\/wp\/v2\/media?parent=197"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/easyextract.online\/blog\/wp-json\/wp\/v2\/categories?post=197"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/easyextract.online\/blog\/wp-json\/wp\/v2\/tags?post=197"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}