dexscreener / pump.fun scraper
Budget: £50 – £90 GBP
I need help automating checks on financial data using various APIs. The data is available via the following links:
- [Apify Data 1](https://console.apify.com/actors/eoF4jxJZItdkP33r9/input)
- [Apify Data 2](https://console.apify.com/actors/y4JKXlhRDW0IpN1Ef/input)
- [Bubble Maps Checker](https://app.bubblemaps.io/sol/)
I have several API keys that you will need to use:
- BIRDEYE_API_KEY
- BITQUERY_CLIENT_ID
- BITQUERY_CLIENT_SECRET
- BITQUERY_ACCESS_TOKEN
- CODEX_API_KEY
- APIFY_API_TOKEN
- HELIUS_API_KEY
Further ideas are welcome
The current script, `auto_token_checker.py`, is not returning any results. It needs to be modified or rewritten to perform the following checks:
- Data validation
- Data comparison
- Wallet %, Insider %, % chance of rugs from previous devs
Results should be returned in an easy-to-read format, such as CSV, Excel, or JSON.
Ideal Skills and Experience:
- Proficiency in Python
- Experience with APIs and data extraction
- Familiarity with financial data and automated validation techniques
- Strong skills in data organization and presentation
the screenshots of what is suppsed to be possible are attached
- [Apify Data 1](https://console.apify.com/actors/eoF4jxJZItdkP33r9/input)
- [Apify Data 2](https://console.apify.com/actors/y4JKXlhRDW0IpN1Ef/input)
- [Bubble Maps Checker](https://app.bubblemaps.io/sol/)
I have several API keys that you will need to use:
- BIRDEYE_API_KEY
- BITQUERY_CLIENT_ID
- BITQUERY_CLIENT_SECRET
- BITQUERY_ACCESS_TOKEN
- CODEX_API_KEY
- APIFY_API_TOKEN
- HELIUS_API_KEY
Further ideas are welcome
The current script, `auto_token_checker.py`, is not returning any results. It needs to be modified or rewritten to perform the following checks:
- Data validation
- Data comparison
- Wallet %, Insider %, % chance of rugs from previous devs
Results should be returned in an easy-to-read format, such as CSV, Excel, or JSON.
Ideal Skills and Experience:
- Proficiency in Python
- Experience with APIs and data extraction
- Familiarity with financial data and automated validation techniques
- Strong skills in data organization and presentation
the screenshots of what is suppsed to be possible are attached