Your first integration

#!/usr/bin/env bashset -euo pipefailBASE="https://api.parserai.co"# 1. Authenticate: an API key from the console's API keys page: "${PARSER_API_KEY:?set PARSER_API_KEY to your API key}"# 2. Create a template and keep its idGROUP_ID=$(curl -s -X POST "$BASE/entity-groups/with-entities" \  -H "Authorization: Bearer $PARSER_API_KEY" -H 'Content-Type: application/json' \  -d '{"name":"Invoices","entities":[        {"name":"Invoice Number","prompt":"Extract the invoice number"},        {"name":"Total Amount","prompt":"Extract the total amount, digits only"}]}' \  | jq -r .id)# 3. Upload a document against the templateDOC_ID=$(curl -s -X POST "$BASE/documents/upload" \  -H "Authorization: Bearer $PARSER_API_KEY" \  -F "file=@invoice.pdf" -F "entity_group_id=$GROUP_ID" \  | jq -r .documentId)# 4. Poll until the document reaches a terminal statuswhile :; do  STATUS=$(curl -s "$BASE/documents/status/$DOC_ID" -H "Authorization: Bearer $PARSER_API_KEY" | jq -r .)  echo "status: $STATUS"  case "$STATUS" in    completed|failed|"too large"|"limit reached"|"insufficient credits") break ;;  esac  sleep 3done# 5. Fetch the structured result (only a completed document has one)if [[ "$STATUS" == "completed" ]]; then  curl -s "$BASE/extracted-documents/by-template/$GROUP_ID" \    -H "Authorization: Bearer $PARSER_API_KEY" | jq '.data[0].extracted_data'else  echo "not extracted: $STATUS"fi

import os, time, requestsBASE = "https://api.parserai.co"# 1. Authenticate: an API key from the console's API keys pageauth = {"Authorization": f"Bearer {os.environ['PARSER_API_KEY']}"}# 2. Create a template and keep its idgroup_id = requests.post(f"{BASE}/entity-groups/with-entities", headers=auth, json={    "name": "Invoices",    "entities": [        {"name": "Invoice Number", "prompt": "Extract the invoice number"},        {"name": "Total Amount", "prompt": "Extract the total amount, digits only"},    ],}).json()["id"]# 3. Upload a document against the templatewith open("invoice.pdf", "rb") as f:    doc_id = requests.post(        f"{BASE}/documents/upload",        headers=auth,        files={"file": f},        data={"entity_group_id": group_id},    ).json()["documentId"]# 4. Poll until the document reaches a terminal statuswhile True:    status = requests.get(f"{BASE}/documents/status/{doc_id}", headers=auth).json()    print("status:", status)    if status in ("completed", "failed", "too large", "limit reached", "insufficient credits"):        break    time.sleep(3)# 5. Fetch the structured result (only a completed document has one)if status == "completed":    res = requests.get(f"{BASE}/extracted-documents/by-template/{group_id}", headers=auth).json()    print(res["data"][0]["extracted_data"])else:    print("not extracted:", status)

// Node 18 or later (global fetch and FormData), as an ES module.import fs from "node:fs";const BASE = "https://api.parserai.co";// 1. Authenticate: an API key from the console's API keys pageconst auth = { Authorization: `Bearer ${process.env.PARSER_API_KEY}` };// 2. Create a template and keep its idconst { id: groupId } = await (await fetch(`${BASE}/entity-groups/with-entities`, {  method: "POST",  headers: { ...auth, "Content-Type": "application/json" },  body: JSON.stringify({    name: "Invoices",    entities: [      { name: "Invoice Number", prompt: "Extract the invoice number" },      { name: "Total Amount", prompt: "Extract the total amount, digits only" },    ],  }),})).json();// 3. Upload a document against the templateconst form = new FormData();form.append("file", new Blob([fs.readFileSync("invoice.pdf")]), "invoice.pdf");form.append("entity_group_id", groupId);const { documentId } = await (await fetch(`${BASE}/documents/upload`, {  method: "POST",  headers: auth,  body: form,})).json();// 4. Poll until the document reaches a terminal statusconst TERMINAL = ["completed", "failed", "too large", "limit reached", "insufficient credits"];let status;do {  await new Promise((r) => setTimeout(r, 3000));  status = await (await fetch(`${BASE}/documents/status/${documentId}`, { headers: auth })).json();  console.log("status:", status);} while (!TERMINAL.includes(status));// 5. Fetch the structured result (only a completed document has one)if (status === "completed") {  const res = await (await fetch(`${BASE}/extracted-documents/by-template/${groupId}`, { headers: auth })).json();  console.log(res.data[0].extracted_data);} else {  console.log("not extracted:", status);}