Content Gathering

Content Gathering points a trained crowd at your search criteria — keywords, platforms, date ranges, languages, and minimum engagement thresholds — and returns matching posts, articles, and multimedia, each with source links and engagement metrics attached.

Unlike Crowdee's other products, gathering doesn't assume a known, finite set of inputs. It's an open-ended search: you don't know in advance how many matching items exist, so the underlying job runs as a gathering-category crowd job rather than the fixed-variant model used elsewhere.

What You Get

• Deduplicated items. Every submission is hashed per job, so the same post found by multiple crowd workers is only counted — and paid — once.
• Structured metadata. Platform, author handle, content type, and engagement metrics (likes, shares, views) travel with every item, not just the raw text or file.
• Review status. Gathered items start pending and move to accepted, rejected, or duplicate as you (or an automated rule) review them.

Chaining into Other Products

Accepted items convert directly into:

• A dataset version, ready for Multimedia Verification.
• An input data set, ready for Source Research or a custom crowdsourcing job.

No manual export step is required — both conversions are single API calls against the gathering job.

Cost

There's no fixed platform price — you set rewardCredits per gathered item, the same way you would for any crowd job, and credits are blocked upfront for maxAssignments × rewardCredits. Typical campaigns pay €0.10–€0.50 per accepted item, depending on platform and content-type complexity.

Where to Go Next

See Content Gathering for the full technical reference: job creation, criteria schema, the worker-facing search-assist widget, and the dataset/input-data conversion endpoints.