iNaturalist Observations Scraper

iNaturalist Observations Scraper

Scrape iNaturalist observations by taxon, place, and quality grade, up to a million records per run. Each observation includes species, GPS coordinates, photos, observer details, and quality grade. No API key required. Export to CSV, JSON, Excel, or XML.

iNaturalist's official API requires authentication and rate limits that slow down large biodiversity studies. This scraper reads the public observation feed directly, filtering by taxon name, place, and quality grade, and returns each matching record in a consistent flat schema. Ideal for ecologists, GIS analysts, and machine learning teams building species distribution datasets.

Who uses it	What they scrape iNaturalist for
Ecologists and conservation researchers	Build species occurrence datasets for biodiversity assessments and habitat modeling
GIS analysts	Extract geotagged wildlife observations for spatial analysis and map layers
Machine learning engineers	Gather labeled image and location data for species classification model training
Environmental educators	Collect local species sightings to create field guides and citizen science reports
Data journalists	Track species migration patterns and seasonal changes for environmental stories

What it does

This Actor collects iNaturalist observations filtered by taxon, location, and quality grade, and returns each one as a flat row with species, coordinates, photos, and observer metadata.

• 🔍 Taxon filter: search by common name like monarch butterfly or scientific name like Danaus plexippus
• 📍 Place filter: narrow results to a specific region, state, or country by name
• 🏅 Quality grade: choose Research grade, Needs ID, or Casual observations only
• 📸 Photo URLs included: each record returns image links for visual verification and ML training
• 🗺️ GPS coordinates: latitude and longitude for every observation, ready for GIS import

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with iNaturalist data

📊 Map species distribution.

An ecologist scrapes all Research grade observations of a threatened plant species across California to model its habitat range and inform conservation planning.

🤖 Build a species classifier.

A machine learning team collects thousands of Casual and Research grade butterfly photos with labels to train a computer vision model for automated species identification.

📰 Report on urban wildlife.

A data journalist scrapes recent mammal observations in New York City to write a story on coyote and deer sightings in urban parks.

🎓 Create a campus field guide.

An environmental educator gathers all bird observations on a university campus to compile a printable field guide for students and visitors.

Why choose this scraper

	What you get
No API key needed	Start scraping public iNaturalist data immediately without registration
Flat row output	Every observation arrives in one consistent schema for easy database import
Flexible filters	Combine taxon, place, and quality grade to target exactly the records you need
Scalable volume	Paid users can collect up to a million observations in a single run

How it compares

This Actor focuses on taxon, place, and quality grade filtering with a simple three-field input. Here is how it compares to other iNaturalist scrapers on Apify.

Feature	ParseForge	iNaturalist Observations Scraper	iNaturalist Observations Scraper - Biodiversity Data	iNaturalist Observations Scraper - Species, Photos & GPS
Filter by taxon name	Yes, common or scientific name	Yes	Not listed	Not listed
Filter by place name	Yes, free-text place	Yes	Not listed	Not listed
Filter by quality grade	Yes, Research, Needs ID, Casual	Not listed	Yes	Not listed
Photo URLs in output	Yes	Not listed	Yes	Yes
GPS coordinates in output	Yes	Not listed	Not listed	Yes
No API key required	Yes	Not listed	Not listed	Yes

Configure the run

Drive the Actor with a taxon name, a place name, and a quality grade filter, alone or together, and set a maximum number of observations to cap the run. The Input tab lists every parameter.

A first run with the defaults:

{
 "maxItems": 10
}

A larger pull:

{
 "maxItems": 200
}

Pricing

Pay-per-result: $0.0085 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$0.85
1,000 results	$8.50
10,000 results	$85.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the iNaturalist Observations Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to iNaturalist through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/inaturalist-observations-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check that your taxon name is spelled correctly and that the place name matches an iNaturalist place entry. Try broadening your filters: remove the place filter or set quality grade to Any to see if observations exist for your taxon.

Why does my run stop at 10 observations?

Free Apify users are limited to 10 items per run as a preview. Upgrade to a paid Apify plan to increase the maximum observations limit up to 1,000,000.

Why are some observations missing GPS coordinates?

Some observers choose to obscure or hide the exact location of sensitive species. iNaturalist automatically fuzzes coordinates for certain taxa. This is expected behavior and not a scraper error.

The taxon name I entered returns observations of a different species.

iNaturalist's search may match your query to a broader taxon or a synonym. Try using the exact scientific name from the iNaturalist taxonomy page for the species you want.

My run is taking a long time with a high maxItems value.

Large scrapes of hundreds of thousands of observations take time because the Actor paginates through results respectfully. You can reduce the maxItems value or narrow your filters to speed up the run.

FAQ

Question	Answer
Do I need an iNaturalist account or API key to use this scraper?	No. This Actor reads the public iNaturalist observation pages directly. You do not need to register an application, get an API key, or log in.
What filters can I apply to my scrape?	You can filter by taxon name, which accepts both common names like monarch butterfly and scientific names like Danaus plexippus. You can also filter by place name and by quality grade: Research grade, Needs ID, or Casual.
How many observations can I scrape in one run?	Free users are limited to 10 observations as a preview. Paid Apify users can set a maximum up to 1,000,000 observations per run.
What data fields does each observation include?	Each row returns the species name, GPS coordinates, observation date, quality grade, observer name, photo URLs, and additional metadata. The exact field list is shown in the sample output on the Actor's page.
Can I scrape observations from a specific country or state?	Yes. Use the Place input field with a free-text name like California, Costa Rica, or Yellowstone National Park to restrict results to that area.
What export formats are supported?	You can export your dataset in CSV, JSON, Excel, or XML format from the Apify platform after the run completes.
Does this scraper get photos from the observations?	Yes. Each observation record includes URLs to the photos uploaded by the observer, which you can download separately or use for visual analysis.
Can I search by scientific name instead of common name?	Yes. The taxon name filter accepts both common names and scientific binomial names like Ursus americanus.
What is the difference between Research grade, Needs ID, and Casual?	Research grade observations have been verified by the community. Needs ID means the species has not yet been confirmed. Casual observations lack sufficient evidence like a photo or date.
Is this scraper suitable for academic research?	Yes. Researchers use it to build species occurrence datasets for biodiversity studies, ecological modeling, and conservation planning. The flat CSV output imports directly into R, Python, or GIS software.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by iNaturalist, LLC. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.