Airtasker Scraper — Gig Economy Data Extraction for AU, UK, US & More

Extract live Airtasker task listings, bids, reviews and public poster/tasker profiles across Australia, UK, US, Ireland, New Zealand and Singapore — no official Airtasker API and no login required. Get task titles, descriptions, budgets, categories, GPS locations, deadlines, bid counts and poster reputation data as clean structured JSON for gig-economy research, lead generation and task price monitoring.

Monitor Gig Economy Demand And Task Pricing

Each dataset row is one real, publicly posted Airtasker task with its posted budget, category, state, bid count and location — the same data researchers and analysts use to track gig work trends (Airtasker itself publishes category-level market insights and cost guides per task type across AU/UK/US):

• Gig-economy market research — track what work is posted, where, and at what price across six regions; build time-series datasets of task demand, category mix and posted budgets.
• Lead-generation agencies — find businesses and individuals posting paid tasks (posters with budget intent, public rating, completion rate and location included).
• Airtasker price benchmarks — build rate cards per category, city and region from real posted budgets, assigned prices and bid counts.
• Freelancer-tool SaaS — monitor bid counts, going rates and category demand to power pricing and demand features.
• In-demand task tracking — see which categories (removals, cleaning, handyman, rubbish removal and more) are actively posted in each region over time.

Build Lead Generation Lists From Airtasker Task Posters

Every task includes the poster's public profile data: average rating, reviews received, tasks posted, completion rate, member-since date, pro/supertasker badges and avatar. When a task is assigned, the winning tasker's profile is included too. That makes it possible to build targeted outreach lists of people actively hiring for local services — handyman jobs, house cleaning, furniture removals, gardening and other task categories — filtered by what they posted and where.

How The Airtasker Scraper Works: Public Data, No Browser

This actor is a plain HTTP crawler (no browser, no DOM scraping) that reads the same data any anonymous visitor sees on Airtasker's public pages:

1. SSR browse pages — the region pages (airtasker.com/[uk|us|…]/tasks/) embed a bootstrappedData JSON blob with ~30 current tasks plus sender profiles and locations with GPS coordinates.
2. Public JSON feed — GET /api/v2/tasks?limit=50&after=N pages deeper into the same public recommender feed (up to your maxTasks limit).
3. Full task detail — GET /api/v2/tasks/{id} returns the complete task payload: description, up to 50 bids with bidder info and messages, comments, reviews, images and locations.
4. Direct task URLs — pass specific airtasker.com/tasks/... URLs via taskUrls to scrape or re-monitor only those listings.

No logins, no cookies, no CAPTCHA solving. Requests are polite and capped by maxRequestsPerCrawl (default 600). If you hit Airtasker rate limiting (HTTP 429 / 403), enable the Apify proxy in the input for IP rotation.

Track In-Demand Tasks Across AU, UK, US, IE, NZ And SG

Airtasker operates separate regional marketplaces; this actor covers all six that exposed public listings at the time of writing:

Region	Code	Currency
Australia (largest marketplace)	au	AUD
United Kingdom	uk	GBP
United States	us	USD
Ireland	ie	EUR
New Zealand	nz	NZD
Singapore	sg	SGD

Airtasker's own Trends pages (airtasker.com/au/trends, /uk/trends, /us/trends) show that the busiest categories by posted volume are removals, furniture removals, cleaning, rubbish removal and handyman, with high demand in cities like Melbourne, Sydney, London and Brisbane. This actor collects the raw task feed behind those insights so you can run your own analysis.

Scraper Input: Region, Task Limit And Detail Options

All input fields are taken directly from the actor's input schema. Nothing is required — defaults work out of the box.

Field	Type	Required	Default	Notes
region	string	No	au	Regional marketplace to scrape: au, uk, us, ie, nz or sg. AU has the most tasks; UK/US are smaller.
maxTasks	integer	No	50	Maximum number of tasks to return, 1–500. Free users are hard-capped at 10. Each task costs one extra request when details are enabled.
includeTaskDetails	boolean	No	true	Fetch each task's full detail (description, bids with bidder info, comments, reviews, images, coordinates). Recommended. Adds a small per-task surcharge (one extra request per task).
taskUrls	array of { url }	No	[]	Scrape only these specific airtasker.com/tasks/... URLs instead of browsing the marketplace.
maxConcurrency	integer	No	20	Parallel HTTP requests (1–100). Raise for speed, lower if you hit rate limits (HTTP 429).
maxRequestsPerCrawl	integer	No	600	Safety cap on total HTTP requests for the whole run.
proxy	object	No	off	Standard Apify proxy picker. Enable only if you need IP rotation or geo-targeting.

Dataset Fields: Every Task, Bid And Profile

One dataset item per task. Field names below match the actor's actual output exactly.

Field	Type	Description
taskId, title, description, url	—	Core listing identity, full text and link
price, currency	—	Posted budget and region currency (AUD/GBP/USD/EUR/NZD/SGD)
amountCents, assignedPrice, fixedPrice	—	Budget in cents, final assigned price and fixed-price flag
category, categoryId	—	Airtasker category (filter the dataset by these to slice cleaning, removals, handyman, etc.)
state	enum	posted, assigned, closed, completed, …
bidsCount, commentsCount	—	Engagement counters
onlineOrPhone, city	—	Task mode and city string
location	object	displayName plus numeric latitude / longitude
deadline, semanticDueDate, flexibleDeadline	—	Timing info
postedAt, updatedAt, regionCode	—	Listing timestamps and region
poster	object	Public poster profile: name, profileUrl, averageRating, reviewsReceived, tasksPosted, posterCompletionRate, pro, supertasker, memberSince, avatarUrl
assignedTasker	object	Winning tasker profile (same shape as poster) when the task is assigned
bids	array (≤50)	Each bid: bidderName, bidderProfileUrl, bidderAvgRating, bidderReviewsReceived, bidderTasksCompleted, message, createdAt, accepted, proposedDeadline
reviews	array (≤50)	Task reviews: rating, body, authorId, createdAt
images	array	Attachment image URLs
scrapedAt	string	ISO timestamp of the scrape

Example Input

{
  "region": "au",
  "maxTasks": 100,
  "includeTaskDetails": true,
  "maxConcurrency": 20,
  "maxRequestsPerCrawl": 600
}

The minimal valid run is just { "region": "au", "maxTasks": 50 } — every other field has a sensible default.

Example Output

One dataset row per task (field names are real output fields; values are illustrative):

{
  "taskId": 20880960,
  "title": "Furniture removal — 3 items, 2nd floor",
  "description": "Need two movers to carry a sofa, mattress and wardrobe to a van…",
  "url": "https://www.airtasker.com/tasks/furniture-removal-3-items-2nd-floor/",
  "price": 150,
  "currency": "AUD",
  "amountCents": 15000,
  "assignedPrice": null,
  "fixedPrice": false,
  "category": "Furniture Removal",
  "categoryId": 24,
  "state": "posted",
  "bidsCount": 4,
  "commentsCount": 1,
  "onlineOrPhone": false,
  "city": "Melbourne VIC",
  "location": { "displayName": "Melbourne VIC, Australia", "latitude": -37.81, "longitude": 144.96 },
  "deadline": "2026-09-25T10:00:00+10:00",
  "semanticDueDate": null,
  "flexibleDeadline": false,
  "postedAt": "2026-09-19T08:12:00+10:00",
  "updatedAt": "2026-09-19T08:12:00+10:00",
  "poster": {
    "userId": 1355955,
    "name": "Melissa K.",
    "profileUrl": "https://www.airtasker.com/users/melissa-k/",
    "averageRating": 4.9,
    "reviewsReceived": 23,
    "tasksPosted": 12,
    "posterCompletionRate": 100,
    "pro": false,
    "supertasker": false,
    "memberSince": "2023-04-02T00:00:00+10:00",
    "avatarUrl": "https://…/avatar.jpg"
  },
  "assignedTasker": null,
  "bids": [
    {
      "bidderName": "Courtney H.",
      "bidderProfileUrl": "https://www.airtasker.com/users/courtney-h/",
      "bidderAvgRating": 4.7,
      "bidderReviewsReceived": 41,
      "bidderTasksCompleted": 397,
      "message": "Hi Melissa — experienced with furniture removals, can do Saturday morning…",
      "createdAt": "2026-09-19T09:00:00+10:00",
      "accepted": false,
      "proposedDeadline": null
    }
  ],
  "reviews": [],
  "images": [],
  "regionCode": "au",
  "scrapedAt": "2026-09-19T09:05:00.000Z"
}

Integrations & Automation: API, Webhooks And Scheduling

The actor runs on the Apify platform, so everything around it is batteries-included:

• API — call it from any language via the Apify API and get the dataset as JSON, CSV, Excel or XML.
• Scheduling — schedule daily (or hourly) runs per region to build price-benchmark and task-demand time series; recurring usage also improves Apify Store recommendation quality.
• Webhooks — trigger downstream pipelines when a run finishes (e.g. push new tasks to a database or Slack).
• Zapier / Make — the Apify integrations let you connect run outputs to thousands of apps without code.

Recommended pattern: one scheduled run per region per day, maxTasks: 100–200, details on — a complete daily snapshot of public task supply.

Related Gig Economy Data Actors

These Apify actors cover neighbouring marketplaces if you want a broader freelancer / local-services data picture:

• Upwork Jobs Scraper 2026 — remote freelance job postings, budgets and skills
• Fiverr Search Gig Scraper — Fiverr gigs, sellers, prices and ratings
• TaskRabbit Services Scraper — US local-services tasker data (the closest platform analog to Airtasker)
• PeoplePerHour Job Scraper — PeoplePerHour job listings and client info
• Upwork Jobs & Freelancer Scraper — Upwork jobs, freelancer profiles and client intelligence

FAQ: Airtasker Data, API And Pricing Questions

Does Airtasker have an official public API for data?

No public data API. Airtasker publishes app/API endpoints for its own products (e.g. an MCP server for account actions that requires OAuth and your own account), and third-party providers resell Airtasker data. This actor reads Airtasker's public, login-free listing surfaces directly — no account, no key, no OAuth — and returns the data in a clean dataset.

Why use this actor instead of building an Airtasker scraper yourself?

Building one means reverse-engineering the site, handling pagination, bypassing blocks, and running infrastructure. This actor does the work once: plain HTTP requests against the public JSON feed and SSR data, no browser, no CAPTCHA solving, polite and capped concurrency, pay-per-result pricing, and scheduling, proxies, retries and exports handled by Apify.

What are the alternatives to this actor for gig-economy and task data?

For the same platform: Airtasker's own account-oriented MCP/API (requires login, not bulk data) or third-party paid APIs. For neighbouring platforms on Apify: the Upwork, Fiverr, PeoplePerHour and TaskRabbit actors listed under Related Actors above. Off-platform, Airtasker publishes category-level Trends pages and cost guides if you only need aggregates.

How can I get Airtasker task pricing data by category?

Run the actor with details enabled, then group the dataset by the category field and aggregate price, assignedPrice and bidsCount per category, city and date. Airtasker's own cost guides (e.g. handyman $180–$280 average per task in AU) give published benchmarks you can validate your scraped numbers against.

Why do I only get ~30 tasks from the browse page?

Anonymous browsing shows a recommender feed of ~30 recent/recommended tasks per region page. The actor automatically pages the public JSON feed (after= offsets) to go deeper, up to maxTasks (max 500) — and can target specific listings via taskUrls.

Can I search Airtasker by keyword?

Not anonymously: Airtasker's on-site keyword search calls a login-gated API, so this actor browses the region's recent/recommended feed instead. Once the dataset is downloaded, every row includes category and full text fields, so you can filter and search locally.

Is scraping Airtasker legal?

The actor only reads publicly visible marketplace listings — the same data any visitor can see without logging in — at a polite rate. Respect Airtasker's Terms of Use and applicable law; you are responsible for how you use the data (see the Legal & Compliance Disclaimer below).

Why is some data missing from some tasks?

Fields like deadline, images, reviews or assignedTasker are empty by design when a task has none (e.g. no deadline set, not yet assigned). Phone numbers and full standalone profile pages require login and are therefore not scraped.

Pricing: Pay Per Airtasker Task Result

The actor is pay-per-event:

• Actor Start — one charge when a run starts (priced by memory; ~$0.00005 per event/GB).
• result — $0.002 per task row saved to the dataset (base listing: title, price, category, location, state, poster).
• Detail (add-on) — $0.003 per task charged only when includeTaskDetails is enabled (description, bids, comments, reviews, images, coordinates).

Cost control: free users get a capped 10-task preview; paying users can run up to 500 tasks per run. A fast title–price sweep with details off costs ~2–3 requests total and only the base result charges.

Tips For Cheap, Reliable Runs

• Start with maxTasks: 20 + details on to validate the data shape before scaling.
• Turn includeTaskDetails off for a fast, cheap title–price–location sweep.
• Use taskUrls to re-scrape or monitor specific listings of interest.
• Schedule daily runs per region to build price-benchmark time series.
• Reduce maxConcurrency if you see HTTP 429s; enable the Apify proxy if blocking persists.

For issues or feature requests, open a ticket on the Issues tab. Need a custom data pipeline, alerts or enrichment for Airtasker data? Contact the author.

For AI Agents & LLM Apps

One-line purpose: returns one JSON dataset row per publicly posted Airtasker task — including budget, category, GPS location, bids with bidder reputation, reviews and poster/tasker public profiles — across AU, UK, US, IE, NZ and SG.

Minimal working input (all fields optional — defaults shown):

{ "region": "au", "maxTasks": 50 }

Variant: cheap title–price sweep without extra detail requests:

{ "region": "au", "maxTasks": 200, "includeTaskDetails": false }

Output field list: taskId, title, description, url, price, currency, amountCents, assignedPrice, fixedPrice, category, categoryId, state, bidsCount, commentsCount, onlineOrPhone, city, location{displayName,latitude,longitude}, deadline, semanticDueDate, flexibleDeadline, postedAt, updatedAt, poster{userId,name,profileUrl,averageRating,reviewsReceived,tasksPosted,posterCompletionRate,pro,supertasker,memberSince,avatarUrl}, assignedTasker, bids[]{bidderName,bidderProfileUrl,bidderAvgRating,bidderReviewsReceived,bidderTasksCompleted,message,createdAt,accepted,proposedDeadline}, reviews[]{rating,body,authorId,createdAt}, images, regionCode, scrapedAt

Behaviors an agent should know:

• Currency follows region — au→AUD, uk→GBP, us→USD, ie→EUR, nz→NZD, sg→SGD. Don't assume AUD.
• No anonymous keyword search — the actor walks the region's recent/recommended feed; use taskUrls (array of {url} objects for airtasker.com/tasks/... pages) to target specific tasks. One detail enqueue happens per taskUrls entry when details are on.
• includeTaskDetails defaults to true — every task then costs one extra task-detail charge ($0.003) and one extra HTTP request. Set it to false for a cheap sweep; then rows lack description, bids, reviews, images detail content.
• maxTasks is capped at 500 (clamped internally, also clamped to free users' 10-item preview). It is NOT a validation error if you pass more.
• Bids (≤50) include bidder reputation and message but no per-bid price; individual bid prices and full standalone user-profile pages require login and are not included.
• maxRequestsPerCrawl (default 600) is the real cost brake — a details-on run of N tasks costs ~N+5 requests.

Billing model: pay-per-event — Actor start ~$0.00005/event, $0.002 per task result row, +$0.003 per task only with includeTaskDetails: true.

Legal & Compliance Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Airtasker Pty Ltd. "Airtasker" is a trademark of its respective owner and is used here only to describe the publicly accessible data source.

The actor accesses only publicly available Airtasker pages and JSON endpoints that any anonymous visitor can view without logging in — it does not bypass logins, solve CAPTCHAs, or use automated browser sessions. It runs at a polite, capped request rate.

You are responsible for your own compliance with Airtasker's Terms of Service and applicable data-protection and consumer laws. If you process data that may identify individuals (poster/tasker names, ratings, locations), honour applicable privacy rules — including the GDPR for EU-linked data and the CCPA for California-linked data — and avoid using the data for unsolicited commercial outreach where doing so would violate laws such as CAN-SPAM or the TCPA (which generally do not apply to business contact data, but check local rules). This section is a factual disclosure, not legal advice.

SEO Keywords

airtasker scraper, airtasker api, scrape airtasker tasks, airtasker data, airtasker dataset, gig economy data, gig economy market research, gig work trends data, airtasker task pricing, airtasker rates by category, airtasker price monitoring, airtasker lead generation, handyman job leads, cleaning jobs data, removalist task data, in-demand tasks data, airtasker trends, airtasker tasker earnings, airtasker australia tasks, airtasker melbourne, airtasker uk tasks, airtasker london, airtasker us tasks, task marketplace data, airtasker alternative