TaskRabbit Scraper

Public TaskRabbit (taskrabbit.com) tasker scraper. Pull the featured taskers that TaskRabbit surfaces on each city + service page — including their rating, review count, completed tasks, Elite status, photo, and bio — all without a login, cookies, or proxy.

What you get

For every tasker the scraper extracts:

• taskerId — TaskRabbit's internal numeric ID
• name — display name (first name + initial, e.g. Alejandro C.)
• averageRating — 0–5 stars
• reviewsCount — total reviews received
• tasksCount — total tasks completed
• isElite — true if marked Elite by TaskRabbit
• photoUrl — Cloudinary-hosted profile photo
• bio — self-written description (when present)
• serviceSlug / serviceName — the service the tasker was featured for (e.g. assemble-furniture / Furniture Assembly)
• citySlug / city / state / country — the metro the tasker was featured in
• sourceUrl — the exact TaskRabbit page each record came from
• recordType — always tasker
• scrapedAt — ISO-8601 UTC timestamp

All empty fields are stripped — your dataset never contains null, "", or [] values.

Modes

Mode	What it does	Required input
search	Free-text query → the actor extracts a city + service from the phrase and scrapes them	searchQuery
byCity	List featured taskers across all services for a city	city (or cities)
byCategory	List featured taskers for a service, including the national page and top metros	category (or categories)
byCityAndCategory	Drilldown: explicit (city × service) matrix	city + category (or cities + categories)
byUrls	Paste TaskRabbit URLs directly	startUrls

The city and category inputs are dropdowns populated with TaskRabbit's full taxonomy — 171 US metros and 20 service categories — so you do not have to guess slugs.

Supported URL patterns (mode = byUrls)

• https://www.taskrabbit.com/locations/{city}/{service} (e.g. …/los-angeles/assemble-furniture)
• https://www.taskrabbit.com/near-me/{service} (national page for a service)
• https://www.taskrabbit.com/locations/{city} (location page — expanded automatically into the top services for that city)

Filters

Filter	Type	What it does
minRating / maxRating	0–5	Range filter on averageRating
minReviewCount	integer	Drop taskers with fewer reviews than this
minTasksCount	integer	Drop taskers with fewer completed tasks than this
eliteOnly	boolean	Keep only Elite-flagged taskers
containsKeyword	string	Case-insensitive substring filter over name + bio + service + city
sortBy	enum	default, rating-desc, review-count-desc, tasks-count-desc, name-asc
maxItems	integer (1–1000)	Hard cap on emitted records

Example inputs

Search by phrase:

{
  "mode": "search",
  "searchQuery": "house cleaning chicago",
  "maxItems": 20
}

Drilldown on (city × service):

{
  "mode": "byCityAndCategory",
  "cities": ["los-angeles", "san-francisco", "new-york-city"],
  "categories": ["assemble-furniture", "help-moving"],
  "minRating": 4.5,
  "sortBy": "tasks-count-desc",
  "maxItems": 50
}

Direct URL:

{
  "mode": "byUrls",
  "startUrls": [
    "https://www.taskrabbit.com/locations/austin/general-handyman",
    "https://www.taskrabbit.com/near-me/junk-removal"
  ],
  "maxItems": 30
}

Output sample

{
  "taskerId": 5923230,
  "name": "Alejandro C.",
  "averageRating": 5.0,
  "reviewsCount": 2984,
  "tasksCount": 4649,
  "isElite": false,
  "photoUrl": "https://res.cloudinary.com/taskrabbit-com/image/upload/azshsq1zulzfymkvabel",
  "bio": "I moved to many states and many new places in my life. As a result I have had to move around and assemble lots of furniture…",
  "serviceSlug": "assemble-furniture",
  "serviceName": "Furniture Assembly",
  "citySlug": "los-angeles",
  "city": "Los Angeles",
  "state": "CA",
  "country": "US",
  "sourceUrl": "https://www.taskrabbit.com/locations/los-angeles/assemble-furniture",
  "recordType": "tasker",
  "scrapedAt": "2026-05-21T20:32:11.847295+00:00"
}

Data source

This actor reads only public TaskRabbit pages that are reachable without a login:

• /locations/{city}/{service} — city + service drilldown (featured taskers panel)
• /near-me/{service} — national featured taskers panel
• /locations/{city} — city landing page

The actor parses the Next.js __NEXT_DATA__ payload embedded in every page. Each page features the top ~6 taskers for that (city, service) combo, so a single run can sample across many metros and services and aggregate hundreds of distinct taskers.

Tasker count per metro/service is also captured (taskerCount from TaskRabbit's own page header).

FAQ

Do I need a TaskRabbit account, an API key, or a proxy? No. Everything used here is publicly served HTML.

Will this scrape every tasker on TaskRabbit? No — TaskRabbit only publicly surfaces a "featured" subset (typically ~6 taskers per city + service page). The actor extracts that featured set across every city + service combination you choose. There is no public endpoint that lists the full tasker roster.

Why does the scraper output country: "US"? TaskRabbit's /locations/ index covers US metros only — the international pages live on country-specific Next.js routes that do not currently feature taskers publicly.

How fresh is the data? TaskRabbit renders these pages server-side from their live database. Each tasker's averageRating, reviewsCount, and tasksCount reflect the live values at fetch time.

What does isElite mean? A TaskRabbit-assigned distinction for taskers with consistently high ratings, high task volume, and low cancellation rates.

Does the actor follow robots.txt? Yes — only public URLs documented above are visited. No login-walled pages are touched. The actor sends a real User-Agent, paces requests, and retries on 429/5xx with exponential backoff.

Limitations

• No public hourly-rate field — TaskRabbit shows hourly rate only after you enter the booking flow, so this is not part of the dataset.
• No phone/email/last-name — only the public initials and first name are visible.
• Profile pages (/profile/{id}) require a login and are not scraped.