Instagram, YouTube, and Google Maps extraction on Apify

Structured extraction. Shipped like a product.

ScrapeSmith sells production-ready Apify actors for teams that need dependable Instagram, YouTube, and Google Maps data without inheriting a brittle scraping stack.

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Operational snapshot

Apify-native delivery for repeatable extraction work.

Live catalog

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Instagram Comments Scraper / 1M+ results Instagram Hashtag Scraper / trend discovery YouTube Shorts Scraper / short-form monitoring Google Maps Reviews Scraper / review intelligence YouTube Search Scraper / ranking data YouTube Channel Scraper / creator intelligence YouTube Scraper / broad video metadata 100% uptime / 10M+ scraped results

Featured actor

Instagram comments, at a price point that invites real testing.

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Instagram Featured

Instagram Comments Scraper

The flagship ScrapeSmith actor is built for campaign analysis, creator vetting, moderation pipelines, and audience research that depends on reply-level detail.

Returns Comments, replies, authors, likes, timestamps

Volume 1M+ results processed

Pricing $0.50 / 1,000 results

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Best fit

Made for analysts who want output they can use immediately.

ScrapeSmith actors are designed around practical fields, not just raw page capture, so teams can move directly into dashboards, QA, research, and automation.

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Delivery model

Run it from the Apify UI or wire it into your own client.

Use the hosted actor, trigger scheduled runs, or feed the dataset into internal tooling with a workflow that already matches how Apify-native teams operate.

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How it works

Three steps from input to structured dataset.

Pick the actor that matches the platform.

Start with a production actor for Instagram comments, hashtags, YouTube search, channels, shorts, or Google Maps reviews.

Run it in Apify with URLs, queries, or channel inputs.

Launch from the Apify console or trigger the actor from your own application with simple API calls.

Pull the dataset into your reporting or product workflow.

Export structured output, automate repeat runs, and avoid reworking brittle scraper code every time a platform changes.

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Python / Apify client

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "directUrls": [
        "https://www.instagram.com/p/EXAMPLE/"
    ],
    "resultsLimit": 1000
}

run = client.actor(
    "scrapesmith/instagram-comments-scraper"
).call(run_input=run_input)

dataset = client.dataset(run["defaultDatasetId"])

for item in dataset.iterate_items():
    print(item["ownerUsername"], item["text"], item["likeCount"])

Why ScrapeSmith

A focused catalog for teams that care about clean extraction.

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Apify-native from the start

Everything is designed to run where scraping teams already work, with hosted actors, repeat runs, datasets, and direct API access.

Clear schemas, not vague exports

The outputs are aimed at research, automation, and reporting use cases, so you spend less time cleaning fields after the run finishes.

Catalog first, custom when needed

Start with a public actor when it fits, then commission a custom build when the target site or schema falls outside the current lineup.

Direct support, documented expectations

ScrapeSmith maintains a separate support inbox and answers in less than 24 hours, so buyers know they can get a fast response when something needs attention.

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Need something outside the public catalog?

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