🌿 iNaturalist Observations Scraper

🚀 Export iNaturalist species observations in seconds. Observation dates, taxa, locations, photos, identifications, and quality grades — direct from the public iNaturalist v1 API.

The iNaturalist Observations Scraper turns the iNaturalist v1 API public endpoint into a clean, structured dataset. It queries the source live, normalizes the response into one row per record, and pushes the result into an Apify dataset you can download or pipe to your warehouse.

Hundreds of millions of citizen-science wildlife observations from around the world are covered in a single run, with stable field names and null-safe parsing.

🎯 Target Audience	💡 Primary Use Cases
🌳 Ecologists	Survey species presence at a location
🦋 Conservationists	Monitor sightings of threatened taxa
🎓 Educators	Build local biodiversity datasets
🤖 ML teams	Train species classifiers on photo observations

📋 What the iNaturalist Observations Scraper does

• Calls the public iNaturalist v1 API endpoint with the parameters you supply.
• Parses the response and flattens each record into a single dataset row.
• Casts numeric fields to numbers where applicable for clean spreadsheet imports.
• Surfaces rate-limit or upstream errors as a single-row error record instead of crashing.
• Exports to every Apify dataset format supported in the UI.

💡 Why it matters. The raw iNaturalist v1 API response is great for API consumers but awkward for spreadsheets and BI tools. This actor normalizes the shape so the data drops straight into pandas, BigQuery, or a Google Sheet.

📊 Data fields

Each record includes: captive, geojson, identifications, license, observed_on, photos, place_guess, quality_grade, results, scrapedAt, taxon, user. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

⚠️ Good to Know. This actor calls the public iNaturalist v1 API endpoint with no authentication required. Upstream rate limits apply; if the source returns a limit notice, you will see it as a single error record in your dataset.

🚀 How to use

1. Click Try for free.
2. Fill in the input (or leave defaults).
3. Click Start.
4. Within seconds, the dataset is ready for download or integration.

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Disclaimer. This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site's terms of service and applicable law. Create a free account w/ $5 credit.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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