Automate SurveyMonkey

What I mean by automating SurveyMonkey

Automating SurveyMonkey means a bot handles the repetitive parts of running and reading a survey. On one side it extracts your results, scraping the response data and reports out of the dashboard and into a sheet. On the other it tests the survey, completing it as a respondent would so you can check every question works before you send it out. Same survey, two jobs, both off your plate.

Data out, tests in

SurveyMonkey gives you a CSV export and an API for your results, and for raw response data those are the right tools. The browser route earns its place at the edges.

Getting data out, a bot can scrape a report view or a chart the export does not include, or pull results on a plan where the API and export are gated. Putting tests in, a bot can run your survey end to end with sample answers, page after page, so a skipped logic branch or a broken required question shows up before a real respondent hits it. So the question is which direction you need, results out or tests in, and the build follows from there.

Who this is for

This is for anyone who runs surveys and is tired of the manual parts. The researcher pulling results into a sheet every week, the team that wants last month's numbers without exporting by hand, and the person who has to test a long survey before it launches without clicking through it themselves. No-coders and coders both, since you can build it without code and drop into code when you want.

How I'd approach it

Pick the direction first. If you are pulling results, point the bot at your report view, scrape the numbers you need, and write them to a sheet on a schedule. If you are testing, fill the survey with sample answers and walk every page, so the bot trips the broken question instead of a respondent. Run it on your own surveys with your own logged-in session.

Direction first, your account, then schedule it. I would lay out the first draft with Build with description.

Automate SurveyMonkey from a description

Describe what you need in plain words in the Chrome extension and it builds the steps for you. Give it a few short lines, check what it made, and run it. Explore no-code.

Automate SurveyMonkey in code

Build with code. You do not have to write the script by hand. Describe the scrape to our Claude skill and it generates a ready-to-run Node script you own, then debugs it with you, fixing a selector that stopped matching or a step that stalls, until the run is clean. Prefer to write it yourself? Explore the code tool. Either way, the script looks like this.

1import { AxiomApi } from "axiom-api";2 3const axiom = new AxiomApi(process.env.AXIOM_API_KEY);4 5await axiom.browserOpen();6try {7  await axiom.goto("https://www.surveymonkey.com/analyze/your-survey");8  const results = await axiom.scrape(".question-summary");9  console.log(results); // write these to your sheet10} finally {11  await axiom.browserClose();12}13 

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Build with a Claude skill

Build no-code or code bots with a skill.

Add the Claude skill and describe what you need, results out or a test run in. It builds the bot for you, no-code or code, scraping your reports or filling the survey with test answers.

Install the skillLearn more

What can you automate?

Most of running and reading a survey. A couple of cases worth knowing first.

What I'd watch out for

SurveyMonkey is a polished, changing app, so a few things trip up a bot. Here is what I would watch for.

Test responses are still responses

When you fill a live survey to test it, those answers land in your real results. Use a draft or test mode if the survey has one, or filter the test rows out afterward, so your numbers stay clean.

Use your own session

Pull results signed in as yourself, on a survey you own. Store the cookies so the bot keeps the session rather than logging in fresh each run.

The layout shifts

SurveyMonkey updates its analyze and survey pages often. Target what you need with the selector tool, and recheck after a big update.

Charts are images

Some report charts render as pictures, so there are no numbers to scrape. Pull the underlying figures from the data table or the export instead, and use the chart only for a screenshot.