We extract software listings, version histories, changelogs, technical specifications, and download URLs from Filehippo. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Software Listings objects from filehippo.com. All fields typed and schema-versioned.
"title": "CCleaner", "publisher": "Piriform", "category": "System Tuning", "rating": 4.5, "license_type": "Freeware", "total_downloads": 8492011, "page_url": "https://filehippo.com/download_ccleaner/"
| # | title | publisher | category | description | rating | license_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Version History objects from filehippo.com. All fields typed and schema-versioned.
"version_number": "6.10.10347", "release_date": "2023-04-12", "file_size": "48.2 MB", "download_url": "https://filehippo.com/download_ccleaner/6.10.10347/download/", "md5_checksum": "a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6", "sha1_checksum": "b1c2d3e4f5g6h7i8j9k0l1m2n3o4p5q6r7s8t9u0"
| # | software_id | version_number | release_date | file_size | download_url | md5_checksum |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Changelogs objects from filehippo.com. All fields typed and schema-versioned.
"software_name": "CCleaner", "release_date": "2023-04-12", "added_features": "['New driver updater engine', 'Optimised registry cleaning']", "fixed_bugs": "['Resolved crash on Windows 11 22H2', 'Fixed UI scaling issue']", "raw_changelog_text": "New driver updater engine. Optimised registry cleaning...", "scraped_at": "2023-10-24T08:12:00Z"
| # | version_id | software_name | release_date | added_features | fixed_bugs | removed_features |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Technical Specs objects from filehippo.com. All fields typed and schema-versioned.
"file_name": "ccsetup610.exe", "file_size": "48.2 MB", "languages": "['English', 'French', 'German', 'Spanish']", "license": "Freeware", "author": "Piriform", "md5_checksum": "a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6"
| # | software_id | file_name | file_size | requirements | languages | license |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Category Data objects from filehippo.com. All fields typed and schema-versioned.
"category_name": "Browsers", "sub_category": "Web Browsers", "software_title": "Google Chrome", "rank_position": 1, "rating": 4.8, "download_count": 29481920
| # | category_name | sub_category | software_title | rank_position | rating | download_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Filehippo scraper navigates historical version pagination, normalises changelog text, and extracts verified file hashes across the entire software catalogue.
Extract titles, descriptions, publisher metadata, and user ratings across all primary software categories.
Traverse pagination to capture every historical release, release date, and specific file size per version.
Extract and normalise raw changelog text into structured arrays of feature updates and bug fixes.
Resolve JavaScript redirects to capture the final CDN download links and mirror URLs.
Extract MD5 and SHA-1 checksums, exact file names, and OS requirements for security validation.
Map software to Windows, Mac, and Web App hierarchies with category rank positions.
Identify Freeware, Trial, Open Source, and Commercial distribution models per software title.
Extract the array of supported languages and localisations listed in the technical specifications.
Hash the latest release endpoints to only extract net-new updates, reducing downstream processing.
Brief in. Clean data out.
Provide target categories, OS types, or specific publishers. We design the extraction schema together.
We configure Scrapy crawlers, handle rate limits, and map the Filehippo DOM structure.
Schema validation, null-rate checks on changelogs, and download link verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Filehippo contains decades of legacy HTML structures and employs rate limiting. Here is how we maintain stable extraction pipelines.
Filehippo employs aggressive rate limiting on IP ranges traversing version histories. We distribute requests across residential proxies with realistic browser fingerprints to maintain high throughput.
Older software pages use legacy HTML templates compared to new listings. Our selectors handle multiple fallback chains to ensure a consistent schema regardless of the page vintage.
Category pages and version histories span hundreds of pages. We implement deterministic traversal logic to guarantee zero dropped records across deep historical archives.
Extracting the final CDN URL often requires executing specific JavaScript redirects. We handle this via Playwright to capture the true file location.
Instead of scraping 300,000 versions daily, we hash the latest release endpoints to only extract net-new updates, saving compute and storage costs.
Security teams map software versions against CVE databases using extracted release dates and changelogs.
Monitor file hashes and MD5 checksums to track legitimate software distributions versus compromised payloads.
Software publishers track update velocity, feature releases, and user ratings of rival applications.
Maintain internal software catalogues with accurate licensing types and OS compatibility matrices.
Train LLMs on software descriptions, changelog formatting, and technical specifications.
Analyse category popularity, download trends, and freeware versus commercial distribution models.
"Filehippo contains the definitive historical record of Windows and Mac software evolution, but extracting clean version histories requires precise pipeline engineering."
Most teams struggle with the sheer volume of legacy DOM structures and aggressive rate limiting on software repositories. DataFlirt abstracts this complexity, delivering normalised changelogs, verified file hashes, and version matrices directly to your infrastructure. You focus on threat intelligence or market analysis, we handle the extraction.
Everything supported by our filehippo.com 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, deduplication, and retry logic. Playwright handles JavaScript rendering and download link resolution.
We maintain pools of residential ISP proxies to bypass Filehippo rate limits. Rotation happens per-request to ensure high throughput.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. State stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About filehippo.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available metadata from Filehippo is generally permissible. We extract only public version histories, changelogs, and download links. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies and request timing modelled on human behaviour. This prevents IP bans when traversing deep version history pagination.
Yes. Our pipelines traverse all historical version pages to compile a complete timeline of feature updates and bug fixes for a given software title.
No. We extract the metadata, technical specifications, and the direct download URLs. We do not host or deliver the executable files themselves.
Pipelines can be configured to run hourly to detect new releases on specific high-priority software, or daily for full category sweeps.
We return null for older software versions where Filehippo did not record or display a hash. Modern releases are consistently populated.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous version monitoring across thousands of applications, we scope, build, and operate the pipeline.
