We extract software profiles, alternative mappings, pricing models, platform support, and user reviews from AlternativeTo. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Software Profiles objects from alternativeto.net. All fields typed and schema-versioned.
"app_id": "alt_8492", "app_name": "Figma", "developer": "Figma, Inc.", "likes_count": 4821, "license_type": "Proprietary", "pricing_model": "Freemium", "official_website": "https://www.figma.com"
| # | app_id | app_name | developer | description | likes_count | official_website |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Alternative Mappings objects from alternativeto.net. All fields typed and schema-versioned.
"source_app": "Adobe XD", "target_app": "Figma", "alternative_rank": 1, "user_votes": 3492, "matched_features": "['Vector Graphics', 'Prototyping']", "pricing_difference": "Both Freemium"
| # | source_app | target_app | alternative_rank | user_votes | user_comments | matched_features |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for User Reviews objects from alternativeto.net. All fields typed and schema-versioned.
"review_id": "rev_93810", "app_name": "Figma", "author_username": "design_pro_99", "rating": 5, "helpful_votes": 142, "date_posted": "2026-03-14", "version_reviewed": "Web"
| # | review_id | app_name | author_username | rating | review_text | date_posted |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Platforms objects from alternativeto.net. All fields typed and schema-versioned.
"app_name": "Figma", "is_free": true, "is_open_source": false, "starting_price": 12.0, "currency": "USD", "supported_os": "['Windows', 'Mac', 'Linux']", "trial_available": false
| # | app_name | is_free | is_open_source | starting_price | currency | supported_os |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Tags & Categories objects from alternativeto.net. All fields typed and schema-versioned.
"app_name": "Figma", "primary_category": "Design & Photo", "sub_categories": "['UI/UX Design', 'Vector Graphics']", "feature_tags": "['Collaboration', 'Auto Layout']", "deployment_type": "Cloud", "integrations": "['Slack', 'Jira']"
| # | app_name | primary_category | sub_categories | feature_tags | audience_tags | deployment_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our AlternativeTo scraper handles the entire platform: software listings, crowdsourced alternative rankings, platform support matrices, and the review corpus.
Extract app names, descriptions, developer details, official links, and aggregate like counts for every software listing.
Capture the exact ranking of alternatives for any given software, including user vote counts and feature overlap matrices.
Normalise pricing models across Free, Open Source, Freemium, and Paid tiers with starting price capture.
Track OS compatibility across Windows, Mac, Linux, Web, Android, iOS, and self-hosted deployment options.
Extract full review text, star ratings, helpful vote counts, and author details across paginated review sections.
Map software to primary categories and extract user-generated feature tags for granular classification.
Monitor aggregate user sentiment through total likes on profiles and specific upvotes on alternative recommendations.
Extract company names and official website URLs to enrich B2B lead generation workflows.
Run one-off bulk exports or configure continuous pipelines at weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide categories, specific app URLs, or keyword sets. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management to bypass Cloudflare protection.
Schema validation, null-rate checks, and sample data reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
AlternativeTo relies on Cloudflare and dynamic pagination. Here is how we stay resilient and deliver clean data.
AlternativeTo uses aggressive Cloudflare bot protection. Our crawlers use residential ISP proxies with realistic browser TLS fingerprints and randomised request timing to maintain high success rates without triggering blocks.
Alternative lists and review sections load dynamically via infinite scroll. We execute full Playwright browser sessions to trigger lazy-loading and capture the complete dataset that static HTTP clients miss.
We use multiple fallback chains per field, including CSS selectors, XPath, and JSON-LD structured data extraction, ensuring that minor layout changes do not break your data pipeline.
For large software catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes and coverage drops, responding before you notice any data degradation.
SaaS companies track their alternative rankings and monitor competitor feature tags to identify market positioning.
Analysts track the rise of Open Source alternatives in specific categories to identify industry trends and disruption.
Marketing teams extract alternative mappings to build targeted comparison landing pages and capture high-intent search traffic.
Product managers analyze user reviews and matched features on alternative lists to prioritize roadmap development.
Sales teams extract developer websites and platform matrices to build enriched target account lists.
ML teams use structured software profiles and relational alternative graphs to train recommendation engines and categorisation models.
"AlternativeTo holds the definitive crowdsourced graph of software competition, but extracting that relational mapping requires serious infrastructure."
Mapping millions of alternative relationships and tracking open source transitions across AlternativeTo requires bypassing aggressive Cloudflare protection and handling endless infinite scroll. DataFlirt manages the proxy rotation and DOM parsing so your team can focus on competitor analysis.
Everything supported by our alternativeto.net scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering and infinite scroll interactions. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies. Rotation happens per-request to bypass Cloudflare without triggering CAPTCHA walls.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About alternativeto.net scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from AlternativeTo is generally permissible under applicable law. DataFlirt targets only public, non-authenticated software profiles, alternative rankings, and review data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and request timing modelled on human behaviour to bypass Cloudflare challenges automatically.
Yes. We execute JavaScript to trigger infinite scroll pagination, capturing every single alternative listed for a given software profile, along with exact user vote counts.
Full catalogue refreshes at weekly or monthly cadences complete within a 12-hour window. We maintain historical snapshots from the day your pipeline is commissioned.
Yes. Each review record includes the rating, text, helpful votes, and author username, paginated across all available review pages for the software.
Our smallest packages start at a defined category list or up to 10,000 specific software profiles with monthly delivery. We price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off software category dump or a continuous competitor tracking feed, we scope, build, and operate the pipeline. Tell us what you need.
