Log And Analyze Job Postings
Send job postings via Telegram to log them in Sheets with extracted details or request a market trends report.
What it does
Receive job postings via Telegram to automatically extract key details like company, role, and salary into your Google Sheets for easy tracking. You can also request a market trends report anytime by sending a specific command, which generates insights based on the stored data.
Step by step
- Parse incoming Telegram message payloads to identify the specific command for generating reports versus standard job posting submissions.
- Configure the Anthropic API client with the necessary authentication keys and define the JSON schema for extracting company, role, and salary fields.
- Implement the Google Sheets API integration to append new rows containing the extracted structured data after successful parsing.
Where the LLM does the work
- Design the system prompt for Anthropic to ensure consistent extraction of salary ranges from unstructured text formats like '50k-60k' or '$120k/yr'.
- Generate the natural language market trends report by instructing the LLM to analyze the aggregated historical data in Google Sheets for patterns.
- Handle ambiguous job descriptions where the role title is missing or unclear by prompting the model to infer the most likely position based on context.
Watch out for
Tools that fit
The agent brief
You are helping me build the following AI agent workflow. ## Goal Log And Analyze Job Postings: Send job postings via Telegram to log them in Sheets with extracted details or request a market trends report. ## Specification - What it does: Receive job postings via Telegram to automatically extract key details like company, role, and salary into your Google Sheets for easy tracking. You can also request a market trends report anytime by sending a specific command, which generates insights based on the stored data. - Trigger: Triggered by an event (Manual · on new Telegram message or /report command) - Autonomy: Fully hands-off - Expected setup effort: about an afternoon - Tools/services involved: - Telegram: Receive job postings and send reports - Anthropic: Extract structured data and generate trend analysis - Google Sheets: Store logged job details ## Known pitfalls, handle each one explicitly in your implementation 1. Salary data often appears as text ranges rather than numbers so you must add a normalization step to convert strings like '100k-120k' into numeric averages for analysis. 2. Telegram message lengths can exceed limits or contain special characters so implement robust error handling and sanitization before sending data to the extraction model. 3. Google Sheets API quotas are strict so add caching logic to batch updates or check remaining quota to avoid runtime failures during high-volume ingestion. ## Reference implementation https://n8n.io/workflows/15931 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/log-and-analyze-job-postings/ via usecasesforagents.com
Frequently asked questions
Can I use a different Messaging than Telegram?
Yes. Telegram is only the example messaging in this recipe. The same flow works with ClickSend API, Discord, Google Chat and LINE Messaging API. Swap the messaging connection and keep the rest of the setup as written.
Want this running in your business?
Who it's for
Built for HR and recruiting teams who need a repeatable first pass, not a one-off.
Analysts get a ready-made pattern for turning raw numbers into a report someone will actually read.