Angi Reviews Scraper

What is Angi Reviews Scraper?

Angi Reviews Scraper extracts all reviews of any home-service pro on Angi: star rating, review text, date, reviewer name and the home-service pro's reply. Paste a Angi URL, click Start, and download the reviews as JSON, CSV, Excel, XML or HTML.

Angi (formerly Angie's List) is one of the largest US marketplaces for contractors, plumbers, electricians and other home-service pros, with verified homeowner reviews. With this scraper you can:

• ⭐ Scrape every review of a home-service pro, or only the newest ones
• 💬 Get the review text and the home-service pro's reply
• 📅 Fetch only new reviews since a given date, ideal for daily monitoring
• 🛡️ Get past blocks: a US residential proxy is included in the price
• 🔌 Connect the data to Google Sheets, Slack, Make, Zapier or your own app via the API

What data can I extract from Angi?

⭐ Star rating (1-5)	💬 Review text
👤 Reviewer name	📅 Publication date
↩️ Reply	🆔 Stable review ID
📝 Review title (if any)	🔗 Source URL

Why scrape Angi reviews?

• 🔧 Contractors and home-service pros: monitor what homeowners say about you
• 📈 Home-service marketing agencies: report on reputation for your clients
• 🔍 Lead and market research: compare pros by trade or city
• 🤖 Sentiment analysis and AI: feed real customer feedback into your own analysis or LLM pipeline.

How do I use Angi Reviews Scraper?

1. Create a free Apify account.
2. Open the home-service pro on Angi and copy the URL of its company reviews page (/companylist/...-reviews-
3. Paste it into the Angi home-service pro URL field.
4. Optionally set Max reviews, or Only reviews after to fetch only reviews since a given date.
5. Click Start and wait for the run to finish.
6. Download your data from the Output tab in JSON, CSV, Excel, XML or HTML.

How much does scraping Angi cost?

You pay per review that ends up in your dataset: $2.00 per 1,000 reviews. No subscription, no rental fee. The monthly credits in Apify's free plan cover a couple of thousand reviews.

💡 Tip: for monitoring, schedule a daily run with Only reviews after set to the date of your last run. You only pay for new reviews.

You can set a maximum cost per run in the run options; the scraper stops when it is reached.

⬇️ Input

The only required field is the home-service pro URL. See the Input tab for all options.

Field	Description
Angi home-service pro URL (url)	The company reviews page (/companylist/...-reviews-
Max reviews (limit)	Stop after this many reviews, newest first. Empty = all reviews
Only reviews after (cutoff_date)	Skip reviews published before this date
Proxy (proxyConfiguration)	US residential proxy, on by default and included in the price. Keep it on: Angi blocks data-center IPs

{
    "url": "https://www.angi.com/companylist/us/in/indianapolis-indiana/well-done-handyman-and-home-renovations-reviews-451158.htm",
    "limit": 100,
    "cutoff_date": "2026-01-01"
}

⬆️ Output sample

Each review is one item in the dataset. View it as a table in the Output tab or download it in JSON, CSV, Excel, XML or HTML.

📘 Scraped Angi review sample (illustrative)

{
    "id": "123456789",
    "author": "Jessica M.",
    "rating": 5,
    "title": null,
    "text": "Great experience from start to finish, would recommend!",
    "published_at": "2026-09-14T00:00:00+00:00",
    "reply": "Thank you so much, Jessica!",
    "replied_at": null,
    "source_url": "https://www.angi.com/companylist/us/in/indianapolis-indiana/well-done-handyman-and-home-renovations-reviews-451158.htm"
}

Field	Description
id	Angi's review ID; stable across runs, so you can deduplicate on it
rating	Star rating (1-5), or null if the review has no score
title	Review title, or null when Angi has none
text	Review text
published_at	Publication date in ISO 8601 (UTC)
reply	The home-service pro's public reply, or null
replied_at	Reply date, or null when Angi doesn't publish it
source_url	The Angi URL you scraped

All our review scrapers use this same format, so you can combine datasets from different sites directly. See for example our Kiyoh Reviews Scraper.

🔌 Integrations

Connect Angi Reviews Scraper to almost any cloud service or web app with Apify integrations: Make, Zapier, Slack, Google Sheets, Google Drive, Airbyte, GitHub and more. Or use webhooks to trigger an action when a run finishes, for example to post new reviews to Slack.

💻 Using Angi Reviews Scraper with the Apify API

The Apify API lets you start runs, schedule them and fetch results from your own code. Use the Python or JavaScript client, or call the scraper from AI agents through the Apify MCP server. The API tab has ready-to-use code.

❓ FAQ

Can I scrape multiple home-service pros at once?

Run the scraper once per home-service pro. To monitor several, create a task per home-service pro and schedule them, or start runs from the API.

Do I need a Angi account?

No. The scraper only reads publicly visible reviews.

Do I need proxies to scrape Angi?

Yes, but you don't have to set anything up: a US residential proxy is on by default and its cost is included in the price per review. If a request still gets blocked, the scraper retries once on a fresh IP automatically.

Anything special about Angi data?

Angi shows review dates by month, so published_at is the first day of that month (UTC).

My run failed. What now?

Check the status message of the run. "Invalid input" or "not found" means the URL doesn't point to a Angi home-service pro page: open it in your browser and copy it again. "Blocked" means Angi refused the request; run it again, and keep the proxy on.

Is it legal to scrape Angi reviews?

This scraper only collects publicly visible reviews. Reviews can contain personal data, such as reviewer names, which is protected by the GDPR in the EU and by other regulations elsewhere. Only scrape and store personal data when you have a legitimate reason, and consult your lawyer if you are unsure. Read more in Apify's post on the legality of web scraping.

Your feedback

Found a bug or missing a field? Open an issue in the Issues tab and we'll look into it.