Copy-paste formulas for a Proxycurl alternative workflow in Google Sheets
Paste a formula into row 2, test it on a few rows, then drag down to run the workflow across your spreadsheet.
Summarize a profile
A: profile text/notes · B: focus
=GPT("Summarize this person from the notes provided, focused on " & B2 & ": " & A2 & ". Return role, seniority, likely focus areas, and mark anything not stated as Unknown.")
Role / seniority tag
A: title · B: context
=GPT("From this job title: " & A2 & " and context: " & B2 & ", return department, seniority level, and whether it is likely a decision-maker. Mark anything not stated as Unknown.")
Company summary
A: company/domain · B: source notes
=GPT("Summarize this company for outreach: " & A2 & ". Source notes: " & B2 & ". Return likely industry, size band, and one relevance signal. Mark unknowns clearly.")
Fit score 1-5
A: account · B: ICP · C: source text
=GPT("Score this account 1-5 for fit. Account: " & A2 & ". ICP: " & B2 & ". Source text: " & C2 & ". Return score, reason, confidence, and what to verify manually.")
Short answer
A Proxycurl alternative in Google Sheets means doing profile and company research with no-code AI formulas in the spreadsheet instead of calling a structured-data API. Proxycurl is a developer API that returns structured LinkedIn and company data; GPT for Sheets is a no-code, spreadsheet-native option for teams that want to research and enrich rows without building an integration.
Fastest path: Install GPT for Sheets → add your source columns → paste a formula from the formula section → review 10 rows → fill down the sheet.
This page is for ops and growth teams and RevOps who used Proxycurl’s API and want a no-code workflow in Sheets. GPT for Sheets is not affiliated with Proxycurl or LinkedIn and is not a structured-data API; product names are trademarks of their respective owners, and the comparison here is factual and non-defamatory. Respect platform terms and lawful data use.
Workflow
A practical sheet for this workflow usually has these columns:
| Column | What to put there | Why it matters |
|---|---|---|
| A | Profile URL, company, or domain | Stable row anchor for each record |
| B | Source notes you sourced lawfully | Keeps AI grounded in inspectable evidence |
| C | Offer or product | Sharpens relevance and scoring |
| D | Target signals to find | Defines what the AI should look for |
| E | AI research summary | First useful interpretation of the row |
| F | Fit score and label | Sorts the list for routing |
| G | Outreach opener or next action | Turns research into execution |
| H | QA flag | Stops unsupported claims before outreach |
Step-by-step setup
- Start with 10 representative rows before filling down hundreds.
- Keep raw source fields unchanged so you can audit the AI output.
- Run one formula to create a research summary, then inspect weak rows.
- Add constraints: max length, required format, and what to do when data is missing.
- Add a QA formula that flags missing facts and unsupported assumptions.
- Fill down once the prompt works on your sample rows.
How a Sheets workflow compares with Proxycurl
Proxycurl returns structured fields through an API and suits teams that need machine-readable data inside an application. GPT for Sheets takes a no-code approach: it adds AI research, scoring, and personalization directly in the spreadsheet, working on URLs and notes you have sourced lawfully. It does not scrape platforms or return a guaranteed structured dataset, so it is best for interpretation and prioritization rather than bulk structured-field retrieval. It is not affiliated with Proxycurl or LinkedIn and is not a drop-in replacement for the API; the comparison here is factual and non-defamatory.
Use cases
- Profile interpretation: summarize role, seniority, and focus from notes you sourced.
- Company context: turn domains into reviewable summaries.
- Prioritization: score and label accounts before reps invest time.
- Personalization: draft openers grounded in a specific signal.
- QA: flag rows missing evidence or making unsupported claims.
Best for / not best for
Best for: teams that want a no-code way to research and prioritize profiles and companies in Google Sheets without standing up an API integration.
Not best for: developers who specifically need machine-readable structured fields returned by an API for an application; in that case use GPT for Sheets as the research and personalization layer on top of data sourced elsewhere.
The strongest use case is interpreting and prioritizing lists you already control. GPT for Sheets supplies the AI research and QA layer; you supply lawful, sourced data.
Internal links and next workflows
- GPT for Sheets product page
- GPT for Sheets pricing
- Enrich LinkedIn profile URLs in Sheets
- LinkedIn company list enrichment in Sheets
- LinkedIn lead research in Google Sheets
- Upgrade GPT for Sheets
Safety, compliance, and data quality
AI output should be treated as a draft. Use lawful public and business data only, respect platform terms of service, do not rely on GPT for Sheets to reproduce a structured-data API, keep source columns visible, store source URLs or dates when relevant, and verify data before outreach. Follow consent, deliverability, and local compliance rules.
Frequently Asked Questions
Is GPT for Sheets a Proxycurl replacement?
Not exactly. Proxycurl is a structured-data API; GPT for Sheets is a no-code AI layer for research, scoring, and personalization on data you have sourced lawfully. Many teams use it as a lighter, no-code alternative. It is unaffiliated with Proxycurl.
Does it return structured fields like the Proxycurl API?
No. GPT for Sheets does not return a guaranteed structured dataset or scrape platforms. It summarizes and scores from the source text and URLs you provide, marking unknowns.
Do I need to write code?
No. GPT for Sheets runs from spreadsheet formulas, so you can research and enrich without building an API integration.
Should I trust every AI output automatically?
No. Treat output as a structured draft and use QA columns to flag missing evidence, unsupported claims, and rows that need manual verification.
Try a Proxycurl alternative workflow in Google Sheets
If you would rather work in spreadsheets than code, install GPT for Sheets and run these formulas on the data you already have.