Sphere360 / docs /crawl.md
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# Data Crawling
![DataCrawl](img/crawl.png)
- [Data Crawling](#data-crawling)
- [Search](#search)
- [Channel-Based Crawling](#channel-based-crawling)
- [Analyze channels based on search results](#analyze-channels-based-on-search-results)
- [Get Video IDs for channels](#get-video-ids-for-channels)
- [Get test video metadata](#get-test-video-metadata)
- [Download test videos \& Check](#download-test-videos--check)
- [Get Video IDs based on Channel IDs](#get-video-ids-based-on-channel-ids)
- [Download](#download)
- [Video-Based Crawling](#video-based-crawling)
- [Filter by Blacklist](#filter-by-blacklist)
- [Download Test Videos \& Verification \& Full Download](#download-test-videos--verification--full-download)
- [Download](#download-1)
- [Full Video Download](#full-video-download)
- [Batch Download Function](#batch-download-function)
## Search
**Path:** [toolset/crawl/search/search.sh](../toolset/crawl/search/search.sh)
**Description:** This script uses the YouTube API to search for 360-degree videos based on a predefined list of keywords and suffix terms. Note that the retrieved videos are confirmed as 360-degree videos but **do not guarantee support for Spatial Audio**. To filter videos that support Spatial Audio, use a downloader (e.g., `yt-dlp` with an audio channel count filter).
**Usage Instructions:**
1. Prepare a keyword list file (one keyword per line).
2. Modify the parameters in `search.sh`, such as `keyword_file`, `postfix`(i.e. the qualifying term), and `output_dir`. Refer to the code comments for detailed parameter descriptions.
3. Run `bash search.sh` to execute the search. Results are saved in CSV format under the `output_dir` directory, organized by keyword.
## Channel-Based Crawling
### Analyze channels based on search results
**Path:** [toolset/crawl/channel/channel_analyzer.py](../toolset/crawl/channel/channel_analyzer.py)
**Description:** Analyzes frequently appearing channels based on search results from the `search` module. Outputs in CSV format.
**Usage Instructions:**
```bash
python channel_analyzer.py -i [input-dir] -o [output-file]
```
### Get Video IDs for channels
**Path:** [toolset/crawl/channel/get_channel_vids.py](../toolset/crawl/channel/get_channel_vids.py)
**Description:** Retrieves all 360-degree video IDs from the most promising channels (those containing the most search results). The output directory contains CSV files named by Channel ID, each containing all 360-degree video IDs for the corresponding channel.
**Usage Instructions:**
```bash
python get_channel_vids.py -i [input-csv] -o [out-dir] -t [threshold]
```
Where `threshold` specifies the minimum number of times a channel must appear in search results to be retained.
### Get test video metadata
**Path:** [toolset/crawl/channel/get_test_list.py](../toolset/crawl/channel/get_test_list.py)
**Description:** For each channel, randomly samples several video segments from the Channel ID's video ID information, and outputs in CSV format recognizable by download scripts.
**Usage Instructions:**
```bash
python get_test_list.py -i [in-dir] -o [out-dir] [-n [sample-size]]
```
Here `in-dir` contains the CSV files named by Channel ID obtained from the previous module, and `out-dir` will contain CSV files named by each Channel ID, with each file containing up to 10 Video IDs for the corresponding channel.
### Download test videos & Check
Use your preferred downloader or scripts from the `Download` section to download test segments, then perform manual verification or use the cleaning pipeline from the `Data Cleaning` section to verify channel quality, filtering out usable and unusable Channel IDs (both can be included in the Channel Black List).
### Get Video IDs based on Channel IDs
**Path:** [toolset/crawl/channel/get_channels_vids.py](../toolset/crawl/channel/get_channels_vids.py)
**Description:** Retrieves video IDs to be downloaded based on a list of available Channel IDs. All resulting Video IDs are guaranteed to be 360-degree videos. Due to API limitations, Spatial Audio support is verified during the download phase rather than this stage.
**Usage Instructions:**
```bash
python get_channels_vids.py -i [input-csv] -o [output-csv]
```
### Download
Use your preferred downloader or scripts from the `Download` section for video downloading.
## Video-Based Crawling
### Filter by Blacklist
**Path:** [toolset/crawl/filter/filter_exist.py](../toolset/crawl/filter/filter_exist.py)
**Description:**
Utilizes the established video and channel blacklists from Channel-Based Crawling to filter out confirmed unnecessary video entries from search results, generating a smaller-scale list for manual review.
**Usage Instructions:**
1. Prepare the Video ID blacklist database and Channel ID blacklist database (including all manually verified usable/unusable video or channel IDs). Modify `video_db_path` and `channel_db_path` in the script.
2. Update the search results path `folder_path` (output from the `Search` module) and output file path `output_csv` in the script.
3. Run `python filter_exist.py` to execute the filtering.
### Download Test Videos & Verification & Full Download
Use a downloader of choice to fetch video clips for screening. After verification, proceed with full downloads of usable videos.
## Download
### Full Video Download
**Path:** [toolset/crawl/download/download_list.sh](../toolset/crawl/download/download_list.sh)
**Description:** Downloads all videos based on Video IDs provided in a CSV file. Supports multi-process downloading. Results are logged in `success_list.txt` and `fail_list.txt` in the current directory.
**Usage Instructions:**
Modify relevant parameters in [download_list.sh](../toolset/crawl/download/download_list.sh), then execute:
```bash
bash download_list.sh
```
### Batch Download Function
The `download_list_360` function in [toolset/crawl/core/download/download_list.py](../toolset/crawl/core/download/download_list.py) enables batch downloading. Refer to the function documentation for usage. Common configurations include:
- **Clip Downloading**: Use `specify_start` and `time_interval` parameters (see function docs for details).
- **Multi-process Downloading**: Set the number of parallel downloads via the `jobs` parameter.
- **Custom Cookies**: Specify cookies using the `cookie` parameter.
- **Proxy Configuration**: Configure proxy servers via the `proxy` parameter.