Import.io Alternatives — Better Data Extraction for Developers

Import.io Alternatives: Better Data Extraction for Developers

Import.io shut its doors in 2023–2024, leaving thousands of teams scrambling for a replacement. Founded in 2012, Import.io was one of the earliest no-code web scraping platforms — but its closure proved that relying on a single vendor for your data pipeline is risky. If you're here, you're evaluating import.io alternatives that won't disappear overnight and will actually fit a developer workflow.

This guide covers eight solid import.io alternatives, with honest assessments of pricing, API quality, and developer experience. We'll also explain why SearchHive's ScrapeForge is the strongest choice for teams that want a clean API, a generous free tier, and no vendor lock-in.

Looking for more head-to-head breakdowns? Check out /blog/web-scraping-tools-2025 or compare specific tools at /compare/apify-vs-scrapeforge.

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Key Takeaways

• Import.io is gone. If you haven't migrated yet, you need a replacement now.
• The best import.io alternatives offer REST APIs, SDKs, and programmatic control — not just point-and-click interfaces.
• ScrapeForge by SearchHive stands out for developer-friendly design, a no-credit-card free tier, and structured output.
• Open-source stacks (Scrapy + Scrapy-Playwright) give maximum control but require you to manage infrastructure.
• Enterprise platforms (Diffbot, Bright Data) are powerful but carry premium price tags.
• Always test free tiers before committing — you'll quickly spot which tools respect your time.
• A good migration path matters: look for tools with clear docs, JSON responses, and webhook support.

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1. Apify

Apify is one of the most popular import.io alternatives, and for good reason. It offers a marketplace of pre-built "actors" (scrapers) for common sites, plus a full SDK for building custom crawlers in JavaScript/TypeScript.

Strengths:

• Huge library of community and official actors (Amazon, Google, LinkedIn, etc.)
• Strong scheduling and proxy rotation built in
• Good API documentation and Node.js/Python client libraries
• Active community and regular updates

Weaknesses:

• Pricing scales quickly — the free tier gives only $5/month in compute credits
• Actor quality varies; community actors can break without notice
• JavaScript-first ecosystem, less natural for Python-heavy teams

Pricing: Free tier ($5 credit/mo), Starter at $49/mo.

Best for: Teams that want ready-made scrapers for popular platforms and don't mind paying as usage grows.

Read our full breakdown at /compare/apify-vs-scrapeforge.

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2. ScrapeForge (SearchHive)

ScrapeForge is SearchHive's dedicated scraping API, and it's arguably the most developer-friendly import.io alternative available today. It delivers clean JSON responses, handles proxy rotation and retries automatically, and integrates tightly with SearchHive's other products.

SearchHive offers three complementary tools:

• SwiftSearch — A search API that returns structured results from Google, Bing, and other engines
• ScrapeForge — A raw HTML-to-JSON scraping API with JavaScript rendering, proxy management, and custom selectors
• DeepDive — Structured data extraction that goes beyond scraping, parsing pages into schema.org-compatible objects

Here's how ScrapeForge looks in practice:

import requests

response = requests.post(
    "https://api.searchhive.io/v1/scrape",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "url": "https://example.com/products",
        "render_js": True,
        "select": {
            "products": {"_selector": ".product-card", "_many": True},
            "title": {"_selector": "h2"},
            "price": {"_selector": ".price"},
            "link": {"_selector": "a", "_attr": "href"}
        }
    }
)

data = response.json()
for product in data["results"]["products"]:
    print(f"{product['title']} — {product['price']}")

And here's DeepDive for structured extraction from any URL:

import requests

response = requests.post(
    "https://api.searchhive.io/v1/deepdive",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "url": "https://news.example.com/article/123",
        "schema": "article",
        "fields": ["headline", "author", "datePublished", "articleBody"]
    }
)

article = response.json()
print(article["headline"])
print(article["articleBody"][:200])

Strengths:

• Clean REST API with JSON responses — no XML, no HTML fragments to parse
• Generous free tier with no credit card required
• Built-in JavaScript rendering, proxy rotation, and anti-bot evasion
• Python and JavaScript SDKs, plus raw HTTP for any language
• DeepDive adds schema.org-structured output for LLM-ready data

Weaknesses:

• Newer platform (smaller pre-built scraper library than Apify)
• Marketplace ecosystem is still growing

Pricing: Free tier (no credit card), paid plans starting at competitive rates. See SearchHive pricing.

Best for: Developers who want a simple API, structured output, and a free tier that actually lets you build.

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3. Octoparse

Octoparse is a no-code web scraper with a visual workflow builder. You click through a webpage in their browser, select elements, and Octoparse generates the extraction rules.

Strengths:

• Intuitive point-and-click interface — non-technical users can build scrapers
• Handles pagination, infinite scroll, and login-based scraping
• Cloud-based scheduling and data export (CSV, Excel, API)

Weaknesses:

• No real developer API — you can't programmatically trigger or configure scrapers easily
• Export formats are limited; no native JSON streaming
• Pricing is aimed at non-technical teams, not engineering departments

Pricing: Free plan (limited), Standard at $89/mo.

Best for: Business analysts and marketing teams who need quick data without writing code.

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4. ParseHub

ParseHub is another visual scraping tool that can handle dynamic, AJAX-heavy websites. It runs locally or in the cloud and supports regex-based data extraction.

Strengths:

• Desktop app for building scrapers visually
• Handles JavaScript rendering and AJAX content
• Can extract data from documents (PDFs, tables)

Weaknesses:

• The desktop application is Windows/macOS only — no Linux support
• API access requires higher-tier plans
• Limited concurrency on free and lower plans

Pricing: Free (5 projects), Standard at $199/mo.

Best for: Users who want a desktop-based visual builder with some AJAX support.

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5. Diffbot

Diffbot uses AI and computer vision to extract structured data from any webpage. Instead of writing selectors, you tell Diffbot what a page is (article, product, discussion) and it figures out the rest.

Strengths:

• AI-powered extraction — no CSS selectors needed
• Excellent at identifying page types (product, article, event, organization)
• Enterprise-grade reliability and support
• Knowledge Graph product adds entity linking and enrichment

Weaknesses:

• Expensive, especially at scale
• Extraction quality can vary on non-standard page layouts
• Steeper learning curve for custom extraction rules

Pricing: Custom enterprise pricing; free trial available.

Best for: Enterprises with budgets that need hands-off extraction across millions of pages.

See how it compares at /compare/diffbot-vs-scrapeforge.

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6. Mozenda

Mozenda is a long-standing enterprise web scraping platform with a visual agent builder and cloud-based data collection.

Strengths:

• Robust enterprise features — SSO, audit logs, role-based access
• Good customer support and onboarding
• Handles large-scale, high-volume extraction projects

Weaknesses:

• Very expensive for small teams and startups
• Interface feels dated compared to modern alternatives
• Limited API flexibility for programmatic workflows

Pricing: Enterprise pricing only — contact sales.

Best for: Large organizations that need enterprise compliance features and dedicated support.

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7. Scrapy + Scrapy-Playwright

If you want full control, the open-source route is hard to beat. Scrapy is Python's most mature web scraping framework, and Scrapy-Playwright adds browser automation for JavaScript-heavy sites.

import scrapy
from scrapy_playwright.page import PageMethod

class ProductSpider(scrapy.Spider):
    name = "products"
    start_urls = ["https://example.com/products"]

    def start_requests(self):
        yield scrapy.Request(
            self.start_urls[0],
            meta={
                "playwright": True,
                "playwright_page_methods": [
                    PageMethod("wait_for_selector", ".product-card")
                ],
            },
        )

    def parse(self, response):
        for card in response.css(".product-card"):
            yield {
                "title": card.css("h2::text").get(),
                "price": card.css(".price::text").get(),
            }

Strengths:

• Completely free and open source
• Full control over every aspect of the scraping pipeline
• Massive ecosystem of middleware, extensions, and community recipes
• Runs anywhere — your servers, your cloud, your rules

Weaknesses:

• You manage proxies, infrastructure, scaling, and maintenance yourself
• Steeper learning curve — not plug-and-play
• No built-in anti-bot evasion; you'll need third-party proxy providers
• Debugging and monitoring fall entirely on you

Pricing: Free (open source). Infrastructure costs are yours.

Best for: Engineering teams with the bandwidth to build and maintain custom scraping infrastructure.

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8. Bright Data Web Scraper

Bright Data (formerly Luminati) is best known for its proxy network, but their Web Scraper IDE and Scraping Browser offer end-to-end extraction capabilities.

Strengths:

• Access to the world's largest residential proxy network
• Scraping Browser handles CAPTCHAs, fingerprints, and retries automatically
• Good for hard-to-scrape targets (social media, e-commerce)

Weaknesses:

• Pricing is opaque and can get very expensive at scale
• Complex billing — proxy bandwidth, requests, and compute are charged separately
• SDK documentation could be better

Pricing: Pay-per-use; minimum commitments for residential proxies.

Best for: Teams that need to scrape at massive scale with premium proxy infrastructure.

Compare with other tools at /compare/bright-data-vs-scrapeforge.

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Comparison Table

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Which Import.io Alternative Should You Choose?

The right choice depends on your team, your budget, and how much control you want over your data pipeline.

If you're a developer or engineering team, ScrapeForge by SearchHive is the strongest all-around choice. It gives you a clean REST API, structured JSON output, built-in JavaScript rendering, and proxy rotation — without the enterprise pricing or vendor lock-in that plagued Import.io users. The free tier requires no credit card, so you can test it immediately with real workloads.

If you need pre-built scrapers for specific platforms, Apify's actor marketplace is the most comprehensive option, though you'll pay more as your usage grows.

If you want zero vendor dependency, Scrapy + Scrapy-Playwright gives you complete control — but you're trading convenience for operational overhead.

If budget isn't a constraint and you need AI-powered extraction at scale, Diffbot is worth evaluating, though expect enterprise-level pricing.

For most developer teams migrating from Import.io, SearchHive's ScrapeForge hits the sweet spot: simple API, structured output, generous free tier, and a product roadmap built around developer needs. Combined with DeepDive for schema.org extraction and SwiftSearch for search APIs, SearchHive covers the full data acquisition stack.

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Get Started with ScrapeForge

Ready to replace Import.io with something built for developers? ScrapeForge's free tier has no credit card requirement and includes enough requests to evaluate the platform with real data.

• Sign up for free — start scraping in under 5 minutes
• Read the docs — API reference, Python and JS SDKs, code examples
• Explore SearchHive products — ScrapeForge, SwiftSearch, and DeepDive

For more comparisons and guides, browse /blog/web-scraping-tools-2025 or check out /compare/apify-vs-scrapeforge.

Stop relying on platforms that can shut down overnight. Build your data pipeline on a tool that respects your time, your code, and your budget.