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
12 Jul 30, 2022
8 Oct 31, 2022
3 Feb 02, 2022
129 Sep 20, 2022
8 Sep 20, 2022
12 Nov 25, 2022
1 Feb 06, 2022
4 Nov 05, 2022
2 Nov 18, 2021
5 Apr 29, 2022
3 Jan 26, 2022
4 Nov 02, 2022
114 Dec 11, 2022
1 Dec 01, 2022
3 Mar 19, 2022
107 Oct 28, 2022
8 Mar 21, 2022
3 Nov 11, 2021
2 Mar 25, 2022
72 Nov 18, 2022