🦋 iNaturalist Scraper - Wildlife Observations

🚀 Collect wildlife observations from the world's largest citizen science platform. Get species names, locations, GPS coordinates, photos, observers, quality grades, and identification data from 100+ million observations.

🕒 Last updated: 2026-04-23

Whether you are a wildlife researcher tracking species sightings, a conservation organization monitoring biodiversity, or an educator building nature databases, this tool makes it easy to collect structured observation data from iNaturalist.

The iNaturalist Scraper delivers scientific names, common names, taxonomic ranks, GPS coordinates, place descriptions, observation dates, quality grades (research, needs ID, casual), identification agreement counts, photo URLs, and observer details. Filter by taxon, place, date range, quality grade, and photo availability.

Target Audience	Wildlife researchers, conservation organizations, educators, data analysts, GIS professionals, app developers
Primary Use Cases	Ecological studies, species monitoring, biodiversity mapping, seasonal pattern analysis, nature education, wildlife tracking apps

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📋 What Does It Do

• Collects scientific names, common names, and taxonomic ranks for observed organisms
• Extracts GPS coordinates, place names, and geographic information for each sighting
• Gets medium-resolution photo URLs for every observation
• Filters by Research Grade, Needs ID, or Casual quality grades
• Searches by date range to track seasonal patterns or recent sightings
• Includes identification agreement and disagreement counts from the community

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🎬 How to Use - Full Demo

🚧 Demo video coming soon.

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⚙️ Input

Field	Type	Description	Default
Max Items	integer	Free users: limited to 10 items. Paid users: up to 1,000,000	10
Taxon Name	string	Search for a species or group (e.g., whale, butterfly, eagle)	whale
Quality Grade	string	Research Grade, Needs ID, or Casual	research
Place ID	integer	iNaturalist place ID (e.g., 1 for US, 6 for Australia)	-
Start Date	string	Filter from this date (YYYY-MM-DD)	-
End Date	string	Filter to this date (YYYY-MM-DD)	-
Has Photos	boolean	Only return observations with photos	false
Order By	string	Sort by creation date, observation date, or votes	created_at

Example 1:

{
    "taxonName": "whale",
    "maxItems": 50,
    "qualityGrade": "research",
    "placeId": 1,
    "hasPhotos": true
}

Example 2:

{
    "taxonName": "butterfly",
    "maxItems": 100,
    "startDate": "2026-01-01",
    "endDate": "2026-03-31"
}

⚠️ Place IDs are numeric identifiers. Common IDs: 1 (United States), 6712 (Canada), 6 (Australia), 7161 (United Kingdom). Find IDs on the iNaturalist website.

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📊 Output

🧾 Schema: id, uri, speciesGuess, taxonName, taxonCommonName, taxonRank, observedOn, createdAt, latitude, longitude, placeGuess, qualityGrade, numIdentificationAgreements, numIdentificationDisagreements, photoUrls, userName, userLogin, scrapedAt

📦 Sample 1:

{
    "id": 12345678,
    "speciesGuess": "Humpback Whale",
    "taxonName": "Megaptera novaeangliae",
    "taxonCommonName": "Humpback Whale",
    "taxonRank": "species",
    "observedOn": "2026-03-15",
    "latitude": 21.2743,
    "longitude": -157.8234,
    "placeGuess": "Maui, HI, US",
    "qualityGrade": "research",
    "numIdentificationAgreements": 3,
    "photoUrls": ["https://inaturalist-open-data.s3.amazonaws.com/photos/..."],
    "userName": "nature_observer",
    "scrapedAt": "2026-04-09T12:00:00.000Z"
}

📦 Sample 2:

{
    "id": 23456789,
    "speciesGuess": "Monarch Butterfly",
    "taxonName": "Danaus plexippus",
    "taxonCommonName": "Monarch",
    "taxonRank": "species",
    "observedOn": "2026-02-20",
    "latitude": 36.7783,
    "longitude": -119.4179,
    "placeGuess": "Pacific Grove, CA, US",
    "qualityGrade": "research",
    "numIdentificationAgreements": 5,
    "photoUrls": ["https://inaturalist-open-data.s3.amazonaws.com/photos/..."],
    "userName": "butterfly_watcher",
    "scrapedAt": "2026-04-09T12:00:00.000Z"
}

📦 Sample 3:

{
    "id": 34567890,
    "speciesGuess": "Bald Eagle",
    "taxonName": "Haliaeetus leucocephalus",
    "taxonCommonName": "Bald Eagle",
    "taxonRank": "species",
    "observedOn": "2026-01-10",
    "latitude": 47.6062,
    "longitude": -122.3321,
    "placeGuess": "Seattle, WA, US",
    "qualityGrade": "research",
    "numIdentificationAgreements": 4,
    "photoUrls": ["https://inaturalist-open-data.s3.amazonaws.com/photos/..."],
    "userName": "eagle_eye",
    "scrapedAt": "2026-04-09T12:00:00.000Z"
}

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✨ Why Choose This Tool?

Feature	Details
100+ million observations	Access the world's largest citizen science wildlife database
GPS coordinates	Precise latitude and longitude for every observation
Quality grades	Filter by Research Grade for verified species identifications
Photo URLs	Direct download links for observation photos
Flexible filtering	Taxon, place, date range, quality grade, and photo availability
Community data	Identification agreement and disagreement counts
Scheduled monitoring	Track new sightings daily or weekly

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📈 How It Compares

Capability	This Tool	Other Solutions
Batch collection	Up to 1,000,000 observations per run	Browse one at a time
GPS coordinates	Latitude and longitude included	Map view only
Date filtering	Custom start and end dates	Limited filtering
Structured output	JSON, CSV, Excel	Web pages only
Photo URLs	Direct download links	Click each observation
Automation	Daily/weekly scheduled runs	Manual visits required

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🚀 How to Use

1. Sign Up - Create a free account w/ $5 credit (takes 2 minutes)
2. Find the Tool - Search for "iNaturalist Scraper" in the Apify Store
3. Set Input - Configure your search filters using the simple form
4. Run It - Click "Start" and let it collect your data
5. Download Data - Get your results in the "Dataset" tab as CSV, Excel, or JSON

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💼 Business Use Cases

Audience	How They Use It
Researchers	Collect species observation data with GPS coordinates for ecological studies and population monitoring
Conservation Orgs	Monitor endangered species sightings across regions and track seasonal migration patterns
Educators	Build biodiversity databases for classrooms and field studies with real observation data
GIS Professionals	Map wildlife observations with precise latitude and longitude for spatial analysis projects

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to this data source so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects the source as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ iNaturalist Scraper - Wildlife Observations (this Actor)	$5 free credit, then pay-per-use	Full source coverage	Live per run	Source-native filters supported	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid managed APIs	$$$ monthly	Vendor-defined	Live	Vendor-defined	⏳ Hours
Third-party data dumps	Varies	Subset, often stale	Periodic	None	🕒 Variable

Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the iNaturalist Scraper - Wildlife Observations page on the Apify Store.
3. 🎯 Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Data & Analytics Build trend reports and dashboards from live source data Feed BI tools, warehouses, and ML pipelines with structured records Run periodic snapshots to track changes over time Compare segments, regions, or categories with consistent fields	🏢 Operations & Strategy Monitor competitor moves, pricing, and inventory shifts Build internal directories and lookup tools backed by current data Power workflows that depend on fresh source records Cut manual data-gathering time from hours to minutes
🎯 Marketing & Growth Identify market opportunities and trending topics Research target audiences and customer personas at scale Power lead-generation pipelines with verified records Track sentiment, reviews, or social signals over time	🛠️ Engineering & Product Prototype features that need real-world data without owning a crawler Replace fragile in-house scrapers with a managed Actor Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test iNaturalist Scraper - Wildlife Observations and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running iNaturalist Scraper - Wildlife Observations regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running iNaturalist Scraper - Wildlife Observations at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using iNaturalist Scraper - Wildlife Observations

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run iNaturalist Scraper - Wildlife Observations on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use iNaturalist Scraper - Wildlife Observations?

Yes. iNaturalist Scraper - Wildlife Observations only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 Automating Your Workflow

Schedule this tool to run daily, weekly, or monthly through the Apify platform. Set it and forget it. Your data will be waiting in your dataset every time. Combine with webhooks to trigger downstream actions whenever a run completes.

🔌 Integrate with Your Favorite Apps

• Make - Build automated workflows
• Zapier - Connect 5,000+ apps
• Slack - Get instant notifications
• Airbyte - Sync to data warehouses
• GitHub - Version control integration
• Google Drive - Export to spreadsheets

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🔌 Integrate with any app

iNaturalist Scraper - Wildlife Observations connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack.

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Pro Tip: 💡 Browse our complete collection of data collection actors to find the perfect tool for your business needs.

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🆘 Need Help?

• Check the FAQ section above for common questions
• Visit the Apify documentation for platform guides
• Contact us at Tally contact form

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⚠️ Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or connected to iNaturalist, the California Academy of Sciences, or the National Geographic Society. It accesses only publicly available data.