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Data Extraction & Parsing APIs · 2 APIs

Unstructured Text to Structured JSON Extractor APIs

Data extraction APIs converting raw emails, documents, and search inputs into validated JSON schemas.

Typical Response
1-3 s
Schema Compliance
100% Validated
Parser Errors
Zero Drift
POST /api/v1/ai/json-extractor
{
    "text": "Invoice INV-2041 from Acme Supplies, dated 3 Oct 2026, total due 1,240.50 USD by 2 Nov 2026.",
    "schema": {
        "invoice_number": "string",
        "vendor": "string",
        "total": "number",
        "currency": "string",
        "due_date": "date"
    }
}
200 OK response.json
{
    "data": {
        "result": {
            "extracted_data": {
                "invoice_number": "INV-2041",
                "vendor": "Acme Supplies",
                "total": 1240.5,
                "currency": "USD",
                "due_date": "2026-11-02"
            },
            "schema_conforms": true
        }
    }
}

Data Extraction & Parsing APIs: 2 APIs

2 to 3 credits per call. Each one has its own page with parameters, code and examples.

  • Live

    JSON Extractor

    Extract structured JSON data from unstructured text based on a schema.

    POST /api/v1/ai/json-extractor
    2 credits Docs Try it
  • Live

    Search Query Parse

    Understand, normalize, and extract filters, exclusions, and sorting parameters from user natural-language searches.

    POST /api/v1/ai/search-query-parse
    3 credits Docs Try it
Definition

What are the Data Extraction & Parsing APIs?

RSFlowHub Data Extraction & Parsing APIs transform messy, unstructured text (invoices, receipts, emails, free-form queries) into strict, type-safe JSON contracts. Responses are validated against the expected schema before they are returned, replacing brittle regex logic with reliable downstream ingestion.

APIs
2
Price
2 to 3 credits per call
Authentication
X-API-Key header
Format
JSON in, JSON out
Typical response
1 to 3 seconds
Fallback
Automatic, failed calls not charged

Quickstart

A real request to POST /api/v1/ai/json-extractor. Every API in this category works the same way.

request.sh
curl -X POST "https://rsflowhub.com/api/v1/ai/json-extractor" \
  -H "X-API-Key: rfh_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{"text":"Invoice INV-2041 from Acme Supplies, dated 3 Oct 2026, total due 1,240.50 USD by 2 Nov 2026.","schema":{"invoice_number":"string","vendor":"string","total":"number","currency":"string","due_date":"date"}}'
response.json
{
    "success": true,
    "request_id": "req_3f9a2c7e-5b1d-4e8a-9c2f-7d6e1a0b4c8d",
    "data": {
        "result": {
            "extracted_data": {
                "invoice_number": "INV-2041",
                "vendor": "Acme Supplies",
                "total": 1240.5,
                "currency": "USD",
                "due_date": "2026-11-02"
            },
            "schema_conforms": true
        }
    },
    "meta": {
        "version": "v1",
        "timestamp": "2026-10-05T09:30:00Z"
    }
}

Why teams use Data Extraction & Parsing APIs

Schema-Compliant JSON Extraction

Transforms messy text into validated JSON data matching your target key-value schemas.

Search Query Natural Language Parsing

Extracts product category, brand, price filters, and color attributes from e-commerce search queries.

Spam & Phishing Pattern Detection

Flags malicious phishing attempts, spoofed domains, and scam text signatures automatically.

Use cases

Typical pipelines built with Data Extraction & Parsing APIs.

Invoice & Receipt Key-Value Ingestion

Extract vendor names, line items, tax numbers, and payment totals from raw OCR text directly into accounting software schemas.

  1. Raw OCR Text
  2. JSON Extractor API
  3. ERP / Accounting Database

E-Commerce Search Query Natural Language Parsing

Convert search inputs like "red running shoes under $100 size 10" into structured search filter objects for Elasticsearch or SQL.

  1. Search Query
  2. Query Parser API
  3. Filtered Catalog Query

Lead Form & Contact Information Extraction

Extract company name, job title, phone numbers, and location from inbound contact messages automatically.

  1. Contact Message
  2. Entity Extractor API
  3. CRM Lead Object

RSFlowHub vs provider SDKs vs self-hosting

How the Data Extraction & Parsing APIs compare with calling a provider directly or running your own models.

TopicRSFlowHubProvider SDKSelf-hosted
Schema Enforcement 100% Schema Validation GuaranteeFrequent Markdown / Formatting DriftRequires Custom JSON Patching
Execution Speed Same LLM call plus validation and retriesRaw LLM call, you validateDepends on GPU Load
Code Fragility Zero Regex MaintenanceComplex Parsing WrapperHigh Maintenance Overhead

Frequently asked questions

Can I provide a custom JSON schema for extraction?
Yes! Passing a target_schema JSON structure instructs the extraction engine to enforce your required output keys and types strictly.
How fast is the JSON Extractor API?
Most requests complete in 1 to 3 seconds, depending on input length and the AI model. Identical repeat requests are served from cache and return faster.
What happens if a field cannot be found in the text?
Missing fields are returned as null or omitted per your schema definition, preventing parser exceptions.
Does this replace regular expressions (regex)?
Yes! The API understands semantic context, extracting dates, currency, and entities regardless of how they are formatted in the text.
Can I extract nested JSON objects and arrays?
Yes, the extractor supports nested schemas including line-item arrays and multi-level category hierarchies.

Other API categories

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Build with Data Extraction & Parsing APIs

Free plan with 100 credits/month + 1,000 bonus credits when you sign in before 23 Nov. One key works for every API in every category.

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