HTML table to JSON/CSV · Html Table

by HTML table to JSON/CSV

POSTBaseSolanaArbitrumPolygonMonadAvalancheeip155:1329OptimismFraxtaleip155:42220stellar:pubnetalgorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8=

$0.001

per call · USD Coin on Base

Extract a <table> from an HTML string as JSON rows (header-keyed) or CSV. Useful for prices, schedules, sports stats, or anything an agent has already fetched as HTML. If multiple tables match, the first is used.

Endpoint

POST https://agent402.tools/api/html-table

4

Calls / 30d

1

Unique payers / 30d

Aug 31

Last called

exact

Payment scheme

Call this service

TypeScript · @x402/fetch
import { wrapFetchWithPayment } from "@x402/fetch";
import { privateKeyToAccount } from "viem/accounts";

const account = privateKeyToAccount(process.env.PRIVATE_KEY);
const fetchWithPay = wrapFetchWithPayment(fetch, account);

const res = await fetchWithPay("https://agent402.tools/api/html-table", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    "format": "json",
    "html": "<table><thead><tr><th>City</th><th>Pop</th></tr></thead><tbody><tr><td>NYC</td><td>8.3M</td></tr><tr><td>LA</td><td>3.9M</td></tr></tbody></table>"
  }),
});
const data = await res.json();
cURL
curl -X POST \
  "https://agent402.tools/api/html-table" \
  -H "Content-Type: application/json" \
  -d '{"format":"json","html":"<table><thead><tr><th>City</th><th>Pop</th></tr></thead><tbody><tr><td>NYC</td><td>8.3M</td></tr><tr><td>LA</td><td>3.9M</td></tr></tbody></table>"}' \
  -H "X-PAYMENT: <signed x402 payment>"

Example response

{
  "count": 2,
  "format": "json",
  "headers": [
    "City",
    "Pop"
  ],
  "rows": [
    {
      "City": "NYC",
      "Pop": "8.3M"
    },
    {
      "City": "LA",
      "Pop": "3.9M"
    }
  ]
}

Payment details

Pay to0xabf4fabd7c416fb67202e5f9002389fc75e2a9d0
AssetUSD Coin · 0x833589fcd6edb6e08f4c7c32d4f71b54bda02913
NetworksBase, Solana, Arbitrum, Polygon, Monad, Avalanche, eip155:1329, Optimism, Fraxtal, eip155:42220, stellar:pubnet, algorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8=
Schemesexact, upto

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