Contract Serializer
Microservice to extract structured information on EVM smart contract.
Why?
Modern NFT contracts may have different names for getPrice, mint and totalSupply methods (or even be a property instead). So it is hard to extract the information and call methods - they just have different names!
The purpose of this tool is to extract NFT contract information in structured way with common names for same properties.
How does it work?
It basically utilises Etherscan API and parse Etherscan 'Read Contract' page using BS4.
Example
Check deployed demo: https://contractserializer.herokuapp.com/. Open link to read the swagger docs.
Get contract's static variables
GET https://cs.webill.io/137/0xbc1fe0f3b02ce5ff516f14ac7b79dd6397a54b9c/readcontract Params: chain_id, contract_address
Example response
{
"data": {
"raw_data": {
"DEVELOPER": "https://buildship.dev",
"DEVELOPER_ADDRESS": "0x704c043ceb93bd6cbe570c6a2708c3e1c0310587",
"MAX_SUPPLY": "10000",
"MAX_TOKENS_PER_MINT": "20",
"PROVENANCE_HASH": " ",
"REFERRAL_PERCENT": "3000",
"baseURI": "https://metadata.buildship.dev/api/token/moon/",
"contractURI": "https://metadata.buildship.dev/api/token/moon/",
"getPrice": "200000000000000000000",
"getReservedLeft": "0",
"name": "NFT Moon Metaverse",
"owner": "0x197727ad2ec7326952843fbd83a0d57b907afbdf",
"saleStarted": "True",
"startingIndex": "0",
"symbol": "MOON",
"totalSupply": "178"
},
"serialized": {
"nft_contract": {
"price": 200000000000000000000,
"total_supply": 178,
"max_supply": 10000,
"paused": false,
"max_tokens_per_mint": 20,
"base_uri": "https://metadata.buildship.dev/api/token/moon/"
}
}
},
"contract_address": "0xbc1fe0f3b02ce5ff516f14ac7b79dd6397a54b9c",
"chain_id": 137
}
Get ABI of a contract in network
GET https://cs.webill.io/137/0xbc1fe0f3b02ce5ff516f14ac7b79dd6397a54b9c/abi Params: chain_id, contract_address Example response:
Local development
-
Copy .env_template file to .env and fill it with your Etherscan creadentials.
-
Run fastapi server:
uvicorn main:app --reload
Made by webill.io team
34 Nov 10, 2022
2 Jan 22, 2022
52 Nov 29, 2022
2 Nov 21, 2021
2.4k Dec 29, 2022
46 Dec 26, 2022
233 Dec 30, 2022
43 Nov 12, 2022
2 Dec 31, 2021
21 Oct 17, 2022
5 Apr 29, 2022
273 Dec 31, 2022
2 Feb 04, 2022
123 Dec 17, 2022
1.5k Dec 22, 2022
106 Dec 19, 2022
12 Dec 24, 2022
150 Jan 04, 2023
23 Dec 30, 2022
15 Dec 09, 2022