Pricing

from $10.00 / 1,000 results

Angi Near-Me Scraper

Scrape targeted Angi "Near Me" business listings by category and location. Extract business profiles, ratings, reviews, contact details, service attributes, and addresses with automatic pagination and JSON-LD parsing. Ideal for lead generation, market research, and local service business analysis.

Pricing

from $10.00 / 1,000 results

Rating

0.0

(0)

Developer

Jamshaid Arif

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Angi Near-Me Scraper (Apify actor)

Targeted scraper for Angi /nearme/<category>/ listing pages. You supply the categories (and optionally a ZIP); it paginates, parses the ProList business cards, merges JSON-LD addresses, and writes one record per business to the dataset.

Important — scope and terms

Scraping Angi is against Angi's Terms of Service. This actor is deliberately built for small, targeted runs — specific verticals/locations you have a legitimate need for — not whole-site harvesting:

categories is required input; there is no "all categories" mode.
maxItems hard-caps every run.
A politeness delay sits between requests.

If your use case is bulk or commercial (many categories nationwide), use a licensed data source instead. It is cheaper than the proxy/anti-bot arms race and keeps you on the right side of the terms.

Input

Field	Type	Default	Notes
`categories`	string[]	`["Appliance Repair"]`	Display names, e.g. `"Plumbing"`. Slugified to `/nearme/<slug>/`.
`zip`	string	–	Optional. `/nearme/` geolocates by IP, so the ZIP may be ignored unless your proxy exits in that region.
`maxPagesPerCategory`	int	`3`	10 listings/page.
`maxItems`	int	`100`	Global hard cap.
`requestDelaySeconds`	int	`3`	Delay between page fetches.
`useApifyProxy`	bool	`true`	Apify Proxy, RESIDENTIAL, US.

Output

One dataset record per business:

name, rating, review_count, review_snippet, profile_url, logo, request_quote, angi_approved, super_service_award, in_business_since, free_estimates, credit_card, emergency, warranties, response_time, neighbors_requested, recommended_pct, street, city, state, zip, category, slug, page, source_url

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