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
13 Sep 29, 2022
2 Jan 27, 2022
48.3k Jan 05, 2023
23 Nov 18, 2022
56 Dec 29, 2022
129 Jan 06, 2023
6 Jan 08, 2022
49 Oct 24, 2022
3 Dec 29, 2021
10 Mar 07, 2022
1 Nov 10, 2021
29 Nov 30, 2022
4 Oct 20, 2022
301 Jan 01, 2023
10 Jun 12, 2022
4 Jan 20, 2022
39 Dec 31, 2022
1 Nov 10, 2021
1 Feb 08, 2022
13 Jul 11, 2022