Data Extraction & Parsing APIs AI Domain

Developer Data Extraction & Parsing APIs
AI REST APIs.

Extract structured JSON objects, entity key-values, e-commerce search query parameters, and spam signatures from unstructured text payloads.

Browse 2 Endpoints Quickstart Code Playground
Automatic Provider Fallback Structured JSON Single Master Key Strict JSON Envelopes
Supported AI Providers in this Domain:
OpenAI Gemini DeepSeek Mistral Grok
Data Extraction & Parsing APIs Live

JSON Extractor

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

POST /api/v1/ai/json-extractor
2 credit
response.json JSON
200 OK 
{
    "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"
    }
}

1-3 s

Typical Response Time

4 Providers

With Automatic Fallback

Never

Used for Model Training

Architectural Synthesis

Production Architecture & Capabilities

How RSFlowHub Data Extraction & Parsing APIs APIs work, what they return, and where they fit in your product.

Generative Engine Optimization (GEO) Synthesis

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.

Your data: never used for training
Typical response: 1-3 seconds
Authentication: X-API-Key header
Response: Validated JSON envelope
API Catalog

Live Endpoints in Data Extraction & Parsing APIs

Showing 2 live endpoints with dynamic model failover, strict JSON contracts, and unified credit billing.

Data & Extraction Live

JSON Extractor

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

POST /api/v1/ai/json-extractor
text schema? custom_instructions?
2 credits
Page Docs Try it
Data & Extraction 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
query schema? context?
3 credits
Page Docs Try it
Developer Quickstart

Integrate in Minutes. Ship Without Breaks.

Call any Data Extraction & Parsing APIs endpoint using standard REST requests in your favorite language. You get structured JSON back, with automatic model fallback and a request ID on every call.

Structured JSON Responses:
Every call returns { success, request_id, data: { result }, meta }, so one parser handles every endpoint.
Automatic Provider Fallback:
When an AI provider rate-limits or fails, the request is retried on a backup model.
Open Live Playground Read Documentation
execute.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"
    }
}'
import requests

url = "https://rsflowhub.com/api/v1/ai/json-extractor"
headers = {
    "X-API-Key": "rfh_your_api_key",
    "Content-Type": "application/json"
}
payload = {
    "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 = requests.post(url, headers=headers, json=payload)
print(response.json())
const response = await fetch("https://rsflowhub.com/api/v1/ai/json-extractor", {
  method: "POST",
  headers: {
    "X-API-Key": "rfh_your_api_key",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "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"
    }
})
});

const data = await response.json();
console.log(data);
<?php

$ch = curl_init("https://rsflowhub.com/api/v1/ai/json-extractor");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "X-API-Key: rfh_your_api_key",
    "Content-Type: application/json"
]);
curl_setopt($ch, CURLOPT_POSTFIELDS, '{
    "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"
    }
}');

$response = curl_exec($ch);
curl_close($ch);
print_r(json_decode($response, true));
envelope.json JSON
200 OK 
{
    "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"
    }
}
Architecture Matrix

Platform & Reliability Comparison

How RSFlowHub Data Extraction & Parsing APIs compares to direct cloud provider SDKs and self-hosted open-source clusters.

Platform Capability RSFlowHub Data Extraction & Parsing APIs Direct Cloud SDKs Self-Hosted Models
Schema Enforcement 100% Schema Validation Guarantee Frequent Markdown / Formatting Drift Requires Custom JSON Patching
Execution Speed Same LLM call plus validation and retries Raw LLM call, you validate Depends on GPU Load
Code Fragility Zero Regex Maintenance Complex Parsing Wrapper High Maintenance Overhead
Production Architectures

Implementation Patterns

Real-world architectures deployed by engineering teams using Data Extraction & Parsing APIs.

Pattern

Invoice & Receipt Key-Value Ingestion

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

Pattern

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.

Pattern

Lead Form & Contact Information Extraction

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

Developer FAQ

Frequently Asked Questions

Technical specifications on Data Extraction & Parsing APIs latency SLAs, concurrency limits, schema validation, and billing.

Yes! Passing a target_schema JSON structure instructs the extraction engine to enforce your required output keys and types strictly.

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.

Missing fields are returned as null or omitted per your schema definition, preventing parser exceptions.

Yes! The API understands semantic context, extracting dates, currency, and entities regardless of how they are formatted in the text.

Yes, the extractor supports nested schemas including line-item arrays and multi-level category hierarchies.
View Full FAQ Knowledge Center
Ready to Ship?

Build Fast with Data Extraction & Parsing APIs

Create a free account to get your API key, read the docs and test every endpoint in the playground. Free plan with 100 credits/month + 1,000 bonus credits when you verify your phone.

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