How to export Scrapy items to CSV

Exporting Scrapy items to a .csv file keeps crawl results easy to sort, filter, and share with spreadsheet tools and data pipelines. CSV is lightweight and line-oriented, so it fits well for quick reviews and repeatable exports.

Scrapy writes items using its feed export system while a spider runs. When the output target ends with .csv, the built-in CSV exporter serializes each yielded item into a row and writes a header row for the selected fields.

CSV is flat, so nested lists or dictionaries are stringified and inconsistent item fields can lead to missing values across rows. Lock the column order before long runs to avoid shuffled headers, and treat overwrite mode as destructive because it replaces any existing output file.

Steps to export Scrapy items to CSV:

Open a terminal in the Scrapy project directory.
```
$ cd /root/sg-work/catalog_demo
```
Set FEED_EXPORT_FIELDS in the project settings to keep CSV columns stable.
```
FEED_EXPORT_FIELDS = [
    "name",
    "price",
    "url",
]

FEED_EXPORT_ENCODING = "utf-8"
```
Set FEED_EXPORT_ENCODING to utf-8-sig when the CSV opens with garbled characters in spreadsheet apps.
Run the spider with the CSV feed export enabled.
```
$ scrapy crawl catalog -O products.csv
2026-01-01 09:39:10 [scrapy.extensions.feedexport] INFO: Stored csv feed (6 items) in: products.csv
```
The output format follows the file extension, so products.csv triggers the built-in CSV exporter.

-O overwrites any existing products.csv in place.

Inspect the CSV header row and first few records.

$ head -n 5 products.csv
name,price,url
Starter Plan,$29,http://app.internal.example:8000/products/starter-plan.html
Team Plan,$79,http://app.internal.example:8000/products/team-plan.html
Enterprise Plan,$199,http://app.internal.example:8000/products/enterprise-plan.html
Growth Plan,$129,http://app.internal.example:8000/products/growth-plan.html
##### snipped #####

The header should match FEED_EXPORT_FIELDS, and missing fields export as empty cells.

Verify the exported item count from the CSV line total.
```
$ wc -l products.csv
7 products.csv
```
Line count includes the header row, so item rows are total - 1.